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Date	Match Up	Rating	Score	Result	Profit	Lead Time	Analysis
08-25-17	Patriots -3.5 v. Lions		30-28	Loss	-118	2 h 49 m	Show
The play and how to Play it: 7* graded play on New England (255) as they take on Detroit in NFLX action set to start at 7:00 PM ET. Wager a 7* play using the line, which currently shows Patriots installed as 2 ½ point favorites. Advanced and Predictive Analytics Discussion Point The following game situations match the projections compiled by the database queries. Patriots are a solid 23-9 ATS (+13.1 Units) when they gain 200 to 250 net passing yards. Patriots are 17-5 ATS (+11.5 Units) when they gain 4.5 to 5 total yards per play. Fundamentally, the Patriots will be far more focused and look to execute each play to perfection in this game 3 of the NFLX season. Patriots had 3 turnovers last week in a 27-23 loss at Houston and you can bet coaches will be looking to make that number a big fat zero tonight. Detroit has won and covered both games and look to be settled on the majority of skill position players and backups on the depth charts. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Patriots. Ryan’s NFLX ‘Best Bet’ Titan
08-24-17	Panthers v. Jaguars +1.5	Top	24-23	Win	100	2 h 25 m	Show
The play and how to Play it: 7* graded play on Jacksonville (254) as they take on Carolina in NFLX action set to start at 7:30 PM ET. SIM algorithm shows a high probability that JAX will win this game. Advanced and Predictive Analytics Discussion Points The following situation has gone 25-7 hitting 78% winners and has made 17.3 units/unit wagered since 2013. Play on any team off a home loss. And is now facing an opponent off a road loss. Additional Data sets reinforcing this NFLX play on JAX Carolina is just 2-17 ATS (-16.7 Units) when they allow 22 to 28 points. JAX is a solid 19-5 ATS (+13.5 Units) when they score 22 to 28. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Jacksonville Jaguars.
08-23-17	Rangers +147 v. Angels	Top	7-5	Win	147	5 h 11 m	Show
The Play and how to Play it: 7* graded play on the Texas Rangers (973) as they take on the Los Angeles Angels in AL action set to start at 10:05 PM ET. Using the alternative Run Line often times can provide a very good opportunity for DOG plays. In this case we have the Rangers on the road and installed as modest +135 dogs. The Run Line is currently at + 1 ½ -170. The Alternative Run Line is a wager that Texas to win this game by two or more runs. When this line is published later today, it is expected to be about +230 to +250. So, if you have that line and level, the recommended strategy would be to create a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the Alternative Run Line. Advanced and Predictive Analytics Discussion Points The following game situations reinforce the this play on Texas. Texas offense has come to life recently batting 0.310 with a 0.943 OPS and scoring 8.3 RPG over their last seven games. For the season, they have hit LH starters well and average 5.1 RPG. The Angels have worked their way into playoff contention, but are batting a horrid 0.188 with a 0.677 OPS over their last 7 games. Texas is 71-51 (+28.3 Units) against the money line facing a team with a solid bullpen posting a WHIP of 1.250 or better in games played over the last two seasons. Take Texas.
08-21-17	Rangers +136 v. Angels	Top	5-3	Win	136	15 h 39 m	Show
The Play and how to Play it: 7* graded play on the Texas Rangers (965) as they take on the Los Angeles Angels in AL action set to start at 10:05 PM ET. Using the alternative Run Line often times can provide a very good opportunity for DOG plays. In this case we have the Rangers on the road and installed as modest dogs. The Rune Line is currently at + 1 ½ -155. The Alternative Run Line would be for Texas to win this game by two or more runs and when available, the line is expected to be about +200 to +220. So, if you have that line and level, the recommended strategy would be to create a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the Alternative Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 53-27 hitting 66.2% winners and has made 37 units/unit wagered since 2013. The system has also averaged an impressive . Play on all favorites with a money line of -110 or higher. Team is batting .265 or lower for the season. Facing an AL starting pitcher posting an ERA 3.50 on the season. And a WHIP between 1.300 to 1.400 on the season. This situation has gone 24-14 making 14.5 units over the past 3 seasons. The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas starter Cole Hamels is 15-1 (+14.0 Units) facing AL teams scoring 4.4 or less runs/game in the second half of the season in games played over the last two seasons. Hamels is a solid 14-2 (+11.9 Units) facing an AL team with a batting average of .255 or worse in the second half of the season in games played the last two seasons. Hamels is a solid 27-8 (+19.7 Units) when facing teams that strike out 7 or more times/game in the second half of the season in games played over the last two seasons. Take Texas.
08-19-17	Patriots v. Texans	Top	23-27	Loss	-100	4 h 58 m	Show
The Play and how to Play it: 7* graded play on New England Patriots (419) as they take on Houston in NFLX action set to start at 8:00 PM ET. Upon occasion, there are times to add different wagering lies to create a combination wager that serves to reduce overall risk and enhance total rate of return. With the current line at pick-em and Houston favored by 1 point, there is no opportunity for that combination wager. So, simply wager a 7* amount on new England. Advanced and Predictive Analytics Discussion Points The following system has gone 25-5 ATS hitting 83.3% winners and has made 19,5 units/unit wagered since 2013. All of the data situations are specific to NFLX games only. Play on any team. The team is off off a home loss. Facing an opponent off a road loss. If we add that the team is playing on the road the results improve to 23-4 ATS for 85.2% ATS. The following game situations match the SIM projections and my compiled research for the outcome of this game. New England is a solid 23-8 ATS (+14.2 Units) when they gain 200 to 250 net passing yards. New England is 22-8 ATS (+13.2 Units) when they score 22 to 28 points. Take New England..
08-18-17	Blue Jays v. Cubs -167	Top	4-7	Win	100	2 h 28 m	Show
The Play and how to Play it: 7* graded play on the Cubs as they take on in MLB action set to start at 2:20 PM ET. The recommended wager is a straight 7* amount using the money line. If you do have access to a -2 ½ run line, you may want to consider a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the -2 ½ run line. The -2 ½ run line is currently in the +190 to +200 level and offers a very solid opportunity. Advanced and Predictive Analytics Discussion Points The following system has gone 64-24 hitting 73% winners and has made 34 units/unit wagered since 1997. Play on any team. Off a loss to a division rival. Installed as a favorite of -150 or higher. The team has a win percentage between 51% to 54%. Facing an opponent with a win percentage between 46% to 49%. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cubs starter Arrieta is an outstanding 31-5 (+22.2 Units) against the money line after giving up two or fewer earned runs in his last two outings over the last three seasons. Toronto starter Happ is just 1-4 in 6 career starts against Cubs with a 5.52 ERA and a 1.935 WHIP. Cubs are batting 0.277 and scoring 5.9 RPG when facing a left-handed starter this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
08-15-17	Cardinals v. Red Sox -150	Top	4-10	Win	100	1 h 59 m	Show
The Play and how to Play it: 7* graded play on Boston (978) as they take on St. Louis in MLB action set to start at 7:10 PM ET. This is a straight 7* amount using the money line. Run Line does little to add any value or reduce risk to creating combination wager. Fundamental Matchups and Data Metrics Jackie Bradley, Jr is coming off a game where he had no hits in a make-up game against Cleveland where the Red Sox lost 7-3. The Red Sox remain at home for the next five games with two against the Cardinals starting tonight and three more to finish out the week against the Yankees. The following grid shows what the Red Sox have done following a game where one of their key players was hitless in the game before. Remember that this is just one of many data sets that underscore the strength and quality of this wager opportunity. The Red Sox have gone 14-2 with an average line of -175 making 11.06 units/unit wagered in games following one where Bradley, Jr. had no hits and at least 2 AB. The ROI is 52% for these results. Advanced and Predictive Analytics Discussion Points The following system has gone 34-12 hitting 74% winners and has made 23.5 units/unit wagered since 1997. Play on home teams. Team is scoring between 4.4 to 4.9 runs/game. With a starting pitcher that allows 7 or more hits/start. Facing an NL starter with an ERA of 3.70 or less. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Red Sox.
08-14-17	Braves v. Rockies -131	Top	0-3	Win	100	9 h 58 m	Show
The play and how to Play it: 7* graded play on Colorado (906) as they take on Atlanta in MLB action set to start at 8:40 PM ET. Not a validated situation to employ a combination wager for this game. Simply, wager a straight 7* play using the money line. Advanced and Predictive Analytics Discussion Points The following query has produced games that are hitting 75%winners and have made 6.10 units/unit wagered since the start of the 2013 season. The system has also averaged an a -159 favorite. Game takes place after the All-Star break. Team has lost 4 or 5 of the last 5 games. Team is listed as a home favorite. Team has lost the two previous road games. This game is Game 1 of a series. Team has a winning record. This query has produced a solid 17.1% ROI over the last 5 seasons. There have been two plays, both winning in 2017. Keep in mind that is just one query of many supporting ones and serves only to reinforce your understanding of why this is a strong wager opportunity. The following game situations match the SIM projections and my compiled research for the outcome of this game. Colorado is a solid 33-17 (+17.2 Units) against the money line with a team slugging percentage .400 or worse on the season (NL) this season. Colorado’s record in Bettis starts are a solid 20-6 (+15.3 Units) against the money line when playing against a team with a losing record over the last 3 seasons. Colorado’s record in Bettis starts are 21-10 (+14.0 Units) against the money line vs. teams averaging 2.75 or less extra base hits per game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rockies.
08-13-17	Astros -138 v. Rangers	Top	2-1	Win	100	4 h 16 m	Show
The play and how to Play it: 7* graded play on Houston as they take on Texas in MLB action set to start at 3:05 PM ET. Houston is a road favorite at -135 currently. So, simply wager a 7* play using the money line. Although, we do have significant evidence suggesting that Houston will win this game by more than 1 runs, there is no supporting reasons to create a combination wager. So, the recommended play is a 7* amount using the money line. Fundamental Matchups and Data Metrics Altuve was hitless in yesterday’s 8-3 loss at Texas. Houston has also lost five straight games and there is a bit of urgency to get a win today at Texas. The following table shows the results following a game where Altuve was hitless. This is ONLY one data query of numerous that support the play on Houston today. As you can see from the table, the Astros are 4-1 SU and 4-1 against the Run Line following a game where Altuve was hitless. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston starter Keuchel’s team record is a solid 11-2 (+13.8 Units) against the money line facing an AL teams scoring 4.9 or more runs/game on the season. Houston is 42-21 (+15.6 Units) against the money line when the money line is -100 to -150 this season. Houston is 29-9 (+18.0 Units) against the money line on the road with a money line of -100 to -150 this season. Houston is 8-0 (+9.0 Units) against the money line in road games after a game where they had 4 or less hits over the last 2 seasons. Regarding the last data set that is 8-0, the SU margin of victory was at least 2 runs in all but one game.
08-12-17	Cowboys v. Rams +3	Top	10-13	Win	100	9 h 1 m	Show
The play and how to Play it: 7* graded play on the Rams (276) as they take on the Cowboys in NFLX action set to start at 9:00 PM ET. SIM algorithm shows a high probability that the Rams will win this game. With the Rams at +3 points and a money line of +130, the combination wager is a valid alternative to the straight 7* line wager. The combination wager would consist of a 5* play using the line and a 2* play using the money line. Advanced and Predictive Analytics Discussion Points The following system has gone hitting winners and has made units/unit wagered since . The system has also averaged an impressive . The following game situations align with the data projections and statistical research for the outcome of this game. These data points are for NFLX results only. Dallas is 1-12 against the money line (-12.0 Units) in road games when they allow 100 to 125 rushing yards. Dallas is 2-17 against the money line (-20.9 Units) when they allow 125 to 150 rushing yards. Dallas is 6-19 against the money line (-17.4 Units) when they are outgained by their opponents by 50 or fewer yards. Additional Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rams. The news of Elliott being suspended by the NFL for a shocking 6 weeks reinforces how positively incompetent Goodell is as a commissioner of the NFL. I personally think, if he owned a funeral parlor, nobody would die. So, of course this will be appealed with the 3-day window and more than likely reduced to 4 games. No matter the result, it will impact the game plan for this NFLX game. In other words, Elliott will not see extensive playing time since he is not play the first 6 weeks of the season. It would serve no purpose and would only be taking a huge chance of getting him hurt. New coach, Sean McVey is teaching a new and far more exciting offense to this year’s Rams team. The TE position will see a lot more targets than last year and now with Sammy Watkins arriving via trade, Ram fans have reason to expect significant improvements. After McVey was hired, they landed TE Gerald Everett with their first round pick. So, the bottom line is that defenses will no longer game plan to shut down the Rams running game featuring Gurley. Instead, they will be forced to respect the pass and this will open up running lanes. New coaches of teams that had losing records the previous season, want to make a positive impression in the preseason and get the fans excited for a successful season.
08-11-17	Reds v. Brewers -183	Top	11-10	Loss	-183	11 h 12 m	Show
The play and how to Play it: 7* graded play on the Milwaukee Brewers as they take on in MLB action set to start at PM ET. Currently, the run lie is at +111 and this is an attractive level to consider a combination wager. That wager would be a 5* play using the money line and a 2* play using the run line. The 2* run line portion reduces the overall risk by a 1.22* amount (difference between -150 and +111 = 0.612=1.22). Now, the approximate probability that Milwaukee wins this game by more than 1 runs is 47%. Our work shows a much higher 58% probability that they will win by more than 1 run. So, you can see that by adding the 2 run line play, we are reducing risk without impacting the the total rate of return of the wager. Fundamental Matchups and Data Metrics The following grid is the exact pitch data from Bailey’s last start and demonstrates the depth of our team research and database development. LWTS is an abbreviation for linear weighted outcomes by inning pitched in Bailey’s last start against St. Louis. The data shows that Bailey struggled mightily, especially in the 2nd and 4th innings where the LW stat reached very high levels. Breaking the data down by pitch, his fastball had a LWTS of 3.10 and reflects that pitch offering becoming batted balls in play. The SNIP (strikes not in play) was 46% and reflects the inability for Bailey to locate the fastball anywhere close to the strike zone. Bailey has an above average slider, but the Cardinals approach was clearly to sit on that pitch. He threw the slider 16 times, with Cardinal batters swinging 9 times and producing 5 base hits. Unfortunately, for Bailey, the inability to command and locate his fastball is the dominant reason he is 3-6 with an 8.86 ERA and a 2.06 WHIP this season. In two August starts, Bailey has posted a 10.61 ERA with 6 BB and 6 Ks in just 9 ⅓ innings of work. The two opponents have hit 0.368. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Brewers.
08-10-17	Angels v. Mariners -171	Top	6-3	Loss	-171	10 h 47 m	Show
The play and how to Play it: 7* graded play on Seattle (918) as they take on the Los Angeles Angels in MLB action set to start at 10:10 PM ET. Recommended play is a straight 7* wager using the Money Line. The Run Line is currently at +105 and offers minimal value to creating a combination wager. Advanced and Predictive Analytics Discussion Points The following system has gone 117-27 hitting 81% winners and has made 59 units/unit wagered since 1997. Play against road underdogs with a money line of +175 to +250. Team with a poor slugging percentage of 0.410 or less. Facing a very good AL starting pitcher posting a WHIP of 1.300 or less. With a starting pitcher that allows 0.5 or less HRs/start. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mariners.
08-09-17	Dodgers -117 v. Diamondbacks	Top	3-2	Win	100	14 h 38 m	Show
The play and how to Play it: 7* graded play on the LA Dodgers (959) as they take on Arizona in MLB action set to start at 9:40 PM ET. The Run Line is borderline for level needed to validate the worthiness of a combination wager. The Run Line needs to be paying at least 135 to make sense for the combination wager that would be created with a 5* play on the money Line and a 2* play using the Run Line. If you can not get a minimum of +135 on your Run Line, then simply make this a straight 7* play using the money line. Advanced and Predictive Analytics Discussion Points The following system has gone 41-11 hitting 79% winners and has made 28 units/unit wagered since 2013. Play on all NL favorites with a money line of -110 or higher. Allowing 3.5 or less runs/game on the season. Facing a top level team that is outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are 42-13 (+22.9 Units) against the money line vs. NL teams scoring 4.5 or more runs/game on the season this season. Arizona is just 8-19 (-14.5 Units) against the money line in home games facing power teams averaging 1.25 or more HR's/game over the last 2 seasons. Dodgers are 47-12 (+27.9 Units) against the money line after having won 4 or 5 of their last 6 games this season. Fundamental and Methodology Discussion Points Dodgers had a rare loss last night with Arizona hitting a grand slam late in the game to take the lead. Interesting that previous to that grand slam, Arizona had not hit a homerun in their previous three games and were the only team in MLB not to have one over that span. That minor stat did have a lot do with NOT having a play on the Dodgers last night. The Dodgers pitching and defense is by far the best in MLB. Over the last 7 games, opponents are batting 0.203 with a paltry 0.254 OBP and scoring just 2.4 RPG. Arizona is batting just 0.218 with a 0.298 OBP and scoring 4.0 RPG over their last 7 games. What is really alarming is that they have allowed opponents to average 5.4 RPG over their last 7 games. Arizona is battig 0.277 and scoring 5.8 RPG in 54 home games this season. However, they have hit just 0.249 and scored 4.6 RPG against LH starters. They face a very good LH starter tonight in Wood and we think he will dominate in this start. If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers.
08-08-17	Astros v. White Sox +1.5	Top	5-8	Win	135	13 h 56 m	Show
7* graded play on the Chicago White Sox as they take on Houston in MLB action set to start at 8:10 PM ET. We also like making this a combination wager using a 5* play on the RL and a 2* play using the inflated money line. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, the CWS are today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 43-16 hitting 73% winners and has made 38 units/unit wagered since 1997. The system has also averaged a 126 DOG wager. Play on AL home teams. Team with a below average OBP of .320 or less. Facing a very good starting pitcher with a WHIP of 1.300 or better. And the team starting a pitcher who walked 4or more hitters each of his last 2 outings. The following game situations match the SIM projections and my compiled research for the outcome of this game. CWS are a stout 15-4 (+12.7 Units) against the money line in home games after 6 or more consecutive losses. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the CWS.
08-06-17	Tigers v. Orioles OVER 10.5	Top	3-12	Win	101	4 h 33 m	Show
7* graded play ‘OVER’ Detroit-Baltimore (918) in MLB action set to start at 1:35 PM ET. Fundamental Matchups and Data Metrics Detroit is 6-1 over their last 7 games, but are batting 0.257, which is nearly equal to their season batting average of 0.259. So, the winning is being accomplished through superior pitching. However, this recent trend is just not sustainable and this is a matchup where one of these teams may score 8 or more runs on their own merit. Detroit has allowed a poor 5.0 RPG for the season and a 0.269 opponent batting average. Over the last 7 games they have allowed just 3.0 RPG and an opponent batting average of 0.235. This game between recent and season-long data sets up the situation where the data projects a very high scoring game. Further, Detroit’s bullpen is pathetic posting a 6.44 ERA and a 1.582 WHIP in 56 road games. Sanchez is 2-2 and 5-0 ‘over’ in 5 career starts against Baltimore with a 5.85 ERA and a 1.553 WHIP. Jimenez is 6-12 in 22 career starts against baltimore with a poor 5.85 ERA and a 1.553 WHIP. Advanced and Predictive Analytics Discussion Points The following system has gone 40-14 hitting 74% winners and has made 25.3 units/unit wagered since 1997. Play ‘Over’ with a AL road team. Batting .260 or lower for the season. With a starting pitcher whose ERA is 4.20 to 4.70 on the season. Facing an AL starting pitcher posting an ERA of 6.20 and higher. The following game situations match the SIM projections and my compiled research for the outcome of this game. Sanchez is a solid 26-10 OVER (+15.9 Units) facing teams who strand 6.9 or less runners on base per game over the last 3 seasons. Sanchez is 10-2 OVER (+8.1 Units) vs. an AL team with an on base percentage .320 or worse in the second half of the season over the last 2 seasons. Detroit is 27-10 OVER (+16.5 Units) in road games vs. an AL starting pitcher whose ERA is 6.90 or worse since 1997. Detroit is 19-5 OVER (+13.2 Units) after batting .200 or worse over a 3 game span over the last 2 seasons. Sanchez is 20-7 OVER (+12.8 Units) when the money line is +125 to -125 over the last 3 seasons.
08-06-17	Padres v. Pirates -174	Top	4-5	Win	100	3 h 14 m	Show
7* graded play on Pittsburgh (906) as they take on San Diego in MLB action set to start at 1:35 PM ET. Recommended Wagering Strategy Given that Pittsburgh is around a -180 favorite, the combination wager becomes a valid alternative to a straight 7* wager. The Run Line is currently at +115. So, consider a 4.5* amount using the money line and a 2.5* amount using the Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 41-15 hitting 73% winners and has made 26 units/unit wagered since 2013. Play on any NL team. Average offensive team scoring 4.0 to 4.5 runs/game. Facing a below average starter posting an ERA between 5.20 to 5.70. And with an overused bullpen that pitches more than 3.2 innings per game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Pirates.
08-05-17	Blue Jays v. Astros -171	Top	4-3	Loss	-171	11 h 50 m	Show
7* graded play on Houston (970) as they take on Toronto in MLB action set to start at 7:10 PM ET. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is a solid 65-34 (+19.6 Units) against the money line vs. teams whose hitters strike out 7 or more times/game this season. Houston is 41-18 (+18.4 Units) against the money line when the money line is -100 to -150 this season. Houston is 54-24 (+23.0 Units) against the money line against right-handed starters this season. Houston had lost 5 of their last six games until last night’s 16-run barrage and blowout win over Toronto. We are on houston again, today. This pattern of a top-5 MLB team having gone through a losing period is akin to stock market corrections and price retracements. So, Houston surged and distanced themselves from all other divisional opponents and have steadily competed with the Dodgers for the top record in MLB. The recent losing ways are nothing more than a retracement of those summation of wins. If we chart win percentage, he Fibonacci series often times provides an area where we will expect the win percentage to resume rising over time. Based on this analytic alone, Houston is at that inflexion point and we see them winning far more games than losing over the next month. Houston starter Charlie Morton started at Toronto on July 7 and went 6 IP allowing just 4 hits and 1 ER (home run). We expect another solid performance and a quality start at minimum from Morton tonight. Take Houston.
08-04-17	Blue Jays v. Astros -162	Top	7-16	Win	100	13 h 17 m	Show
7* graded play on the Houston Astros (922) as they take on Toronto Blue Jays in MLB action set to start at 8:10 PM ET. Recommended Wagering Strategies This game opened at Houston favored at -190 and the line has steadily declined to the -160/-165 area. The current line of -160 is very attractive and if you can get that line or possibly in the 150’s, then place a 7* amount at these levels. The combination wager, which would be a 5* play using the money line and a 2* play using the Money Line does not have as favorable a risk-reward profile as placing a 7* straight money line wager. If you have access to the -2 ½ Run Line, then consider placing an extra 2* amount on that line for a total of 9* amount of risk. This line is anticipated to be around +165. For our record keeping, we will be using a straight 7* money line wager. Advanced and Predictive Analytics Discussion Points The following system has gone 108-32 hitting 77% winners and has made 59 units/unit wagered since 2013. Play against road underdogs with a money line of +100 or higher. With a slugging percentage of .500 or better over their last 3 games. Facing a starting pitcher posting an ERA less than 2.50 over his last 5 starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 65-33 (+21.0 Units) against the money line vs. teams whose hitters strike out 7 or more times/game this season. Toronto is just 18-31 (-17.1 Units) against the money line in road games after having won 2 of their last 3 games over the last 2 seasons. Houston is a solid 54-24 (+23.0 Units) against the money line against right-handed starters this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Houston Astros.
08-02-17	Diamondbacks +151 v. Cubs	Top	3-0	Win	151	5 h 51 m	Show
7* graded play on Arizona (907) as they take on the Chicago Cubs in MLB action set to start at 8:05 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Arizona is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona starter Godley is a solid 19-10 (+11.4 Units) against the money line facing teams whose hitters strike out 7 or more times/game over the last 2 seasons. Chicago Cubs are just 11-17 (-16.1 Units) against the money line after a 5 game span where the bullpen ERA was 2.00 or better this season. Cubs are a money burning 10-14 (-12.3 Units) against the money line after 2 straight games where the bullpen gave up no earned runs this season. Cubs are an imperfect 0-6 (-12.8 Units) against the money line in home games after scoring 10 runs or more over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Arizona Diamondbacks.
08-01-17	Blue Jays v. White Sox +213	Top	8-4	Loss	-100	13 h 33 m	Show
7* graded play on the Chicago White Sox (972) as they take on the Toronto Blue Jays in MLB action set to start at 8:10 PM ET. How to Play: The recommended play is to use a combination wager consisting of a 4.5* amount on the money line +180 and a 2.5* play using the Run Line, which is currently at + 1 ½ +115 vig. Playing it as a straight 7* amount using the money line is perfectly fine to execute too. Advanced and Predictive Analytics Discussion Points The following system has gone 82-91 hitting 47% winners and has made 56.6 units/unit wagered since 2013. This system has averaged a very impressive +180 DOG play. Play on all dogs of +150 and higher. Team season batting average of less than 0.265. Team is batting 0.240 or worse over their last 20 games. Facing a solid AL starting pitcher with a 4.20 ERA or lower. Discussion Points This dog may seem to have no chance to win this game and of course the CWS may lose this game. However, our strategy is always focused on the long-term and we know that playing these types of large dogs will pay-off over the course of the season. Whether any play wins or loses or a day ends up a big winner or a real clunker, those results will never impact the decision making for the next day. “Turn the page” is one of my favorite coaching tools for every baseball team I have ever been associated with and it applies to my business practices as well. Toronto is an imperfect 0-6 against the run line (-8.3 Units) vs. a starting pitcher whose lasts less than 5 innings per start this season. Toronto is a near-imperfect 1-11 against the run line (-11.6 Units) when playing with a day off this season. Stroman is 0-7 (-9.7 Units) against the money line in road games vs teams who strand 6.9 or less runners on base per game in the second half of the season over the last 2 seasons. Stroman is 0-7 (-9.7 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse in the second half of the season over the last 2 seasons. Toronto is 13-20 (-13.9 Units) against the money line when playing with a day off over the last 2 seasons.
07-30-17	Mets v. Mariners -226	Top	1-9	Win	100	5 h 35 m	Show
7* graded play on Seattle (980) as they take on the NY Mets in MLB action set to start at 4:10 PM ET. How to Play: The recommended play is to use a combination wager consisting of a 5* amount on the money line and a 2* play using the Run Line, which is currently at -105 vig. Advanced and Predictive Analytics Discussion Points The following system has gone 185-60 hitting 76% winners and has made 76 units/unit wagered since 2013. Home favorites with a money line of -150 or more (SEATTLE) - cold hitting team - batting .250 or worse over their last 20 games, starting a pitcher who walked
07-29-17	Giants v. Dodgers -265	Top	1-2	Win	100	7 h 39 m	Show
7* graded play on the Dodgers (902) as they take on San Francisco Giants in National League MLB action set to start at 4:05 PM ET. How to play this game To reduce risk and optimize the ROI, the recommended wager strategy is to place a 4* amount on the money line and a 3* amount on the Run Line. The RL is currently at -135, which reduces a large piece of the wager loss potential. Money line is -265 so a Dime play loses $2650, while the combination wager has a max loss of $1465. The probability is greater than 63% that the Dodgers win this game by more than 2 runs and a 85% probability that the margin of a Dodger victory will NOT be by 1 run. This may appear confusing at first. The first prediction is based on the game and that includes scenarios where the Giants can pull of the unexpected upset. The second prediction is ONLY if the Dodgers win. So, by using the combination wager, we have reduced the total risk exposure by $995.00 without a significant change in profit optimization. Advanced and Predictive Analytics Discussion Points The following system has gone hitting winners and has made units/unit wagered since . The system has also averaged an impressive . The following game situations match the SIM projections and my compiled research for the outcome of this game. Giants are just 11-28 (-17.7 Units) against the money line vs. a starting pitcher whose gives up 5.5 or less hits/start this season. Giants are 7-23 (-14.7 Units) against the money line in road games vs. NL teams scoring 5 or more runs/game on the season over the last 2 seasons. Giants are 3-13 (-10.3 Units) against the money line in road games vs. a team with an excellent bullpen whose WHIP is 1.150 or better over the last 2 seasons. Giants are an imperfect 0-8 against the run line (-10.8 Units) in road games when playing against a top-level team winning 62%) or more of their games this season. Fundamental Game Discussion Points As I had mentioned a few days ago, when the Dodgers had announced that Kershaw and McCarthy went on the 10-day DL, the Dodgers offense has come to life and is more than offsetting the loss of these two starters. The Dodgers have scored 6 runs exact on their last four games and had scored 6 or more runs in just one game between July 23 and July 16. This has not been a shocking prediction as the Dodgers offense is already quite good and will only get better. Seager leads the Majors in Home Run percentage and all of the starters rank above the average starter at their position. As a team, they rank 3rd in the NL in runs scored, 3rd in doubles, 4th in home runs, and first in walks. The Dodger offense is a constant threat in any inning against any pitching staff and we continue to believe the offense will continue to score runs above their season average.
07-28-17	Astros v. Tigers +141	Top	6-5	Loss	-100	5 h 47 m	Show
7* graded play on Detroit (972) as they take on Houston (971) in MLB action set to start at 7:10 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Detroit is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Now, let’s take a closer look at the supporting Black Jack system. Advanced and Predictive Analytics Discussion Points The following system has gone 51-21 hitting 71% winners and has made 35 units/unit wagered since 2013. Play against road teams. With a hot starting pitcher sporting a WHIP of 1.100 or lower over his last 10 games. After a game where the bullpen was hit hard for 4 or more earned runs. This system is a perfect 3-0 making 3.2 units and 29-13 making 19.2 units over the last three seasons. The spreadsheet below shows the results for when the Houston Astros lost a game by at least 8 runs, used four pitchers, and playing on the road since 2013. The ROI for this query has produced a very nice 21%. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Detroit Tigers.
07-26-17	Brewers +116 v. Nationals	Top	5-8	Loss	-100	12 h 36 m	Show
7* graded play on Milwaukee as they take on Washington in MLB action set to start at PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Milwaukee is today’s edition of the ‘Upset Alert’ Titan. Playing all of these “+140 dogs” and hit even 50%, for example, our cash balances will grow steadily throughout the season. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 43-26 hitting 62% winners and has made 37 units/unit wagered since 2013. The system has also averaged an impressive 146 dog play. Play against NL home favorites with a money line of -110 or higher. Home team has a starting pitcher with an ERA is 3.70 or better on the season. With a team slugging percentage of .440 or better on the season. Key Situations Brewers are 31-18 (+21.3 Units) against the money line after having lost 5 or 6 of their last 7 games over the last 2 seasons. Brewers are 18-7 (+17.5 Units) against the money line after having lost 6 or 7 of their last 8 games over the last 2 seasons. Nationals are just 3-8 (-10.1 Units) against the money line in home games after having won 4 or 5 of their last 6 games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Milwaukee Brewers.
07-25-17	Twins v. Dodgers -1.5	Top	2-6	Win	120	15 h 23 m	Show
7* graded play on the Los Angeles Dodgers (930) using the Run Line as they take on Minnesota in MLB action set to start at 10:10 PM ET. Recommended Wagering Strategy The current money line is about -175 with some books at -171 and others higher at -178. The Run line is currently at -1.5 +125. So, a combination of these two lines offers an way to optimize the ROI and minimize the risk. This ROI optimization is not beneficial to the user for just one game, however, if it is adopted over the course of the season it will add more profits. So, for this play, the combination wager is optimized ONLY if you have access to the -2 ½ Run Line, which we anticipate to be lined at + 180. If the -2 ½ is not available, then simply wager a 7* amount on the Run Line. If the -2 ½ run line is available, then wager a 4.5* amount using the Run Line and a 2.5* amount using the -2 ½ Run Line. Fundamental Matchups and Data Metrics Despite losing Clayton Kershaw for 4 to 6 weeks and Brandon McCarthy (blister), the Dodgers are in position to maintain at least ‘500’ ball over the next few weeks. More on this a bit later in the report. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Twins are just 25-44 against the run line losing 30.4 Units when facing a team with a good bullpen whose ERA is 3.45 or better over the last 2 seasons. Dodgers are a solid 42-22 against the run line making 18.7 Units facing an overused bullpen that pitches more than 3.2 innings per game this season. Dodger starter Maeda is a perfect 6-0 against the run line making 6.7 Units in home games vs. teams whose hitters strike out 7 or more times/game this season. Team Discussion Points Dodgers have the offense to offset the loss of Kershaw and McCarthy. They are currently batting 0.271 with a 0.351 OBP and 0.830 OPS over their last seven games. Minnesota does not have near the fire-power batting 0.254 with a 0.327 and 0.723 OPS over their last seven games. The biggest advantage for the Dodgers is their bullpen. The relief boys have produced a 2.92 ERA with a 1.082 WHIP allowing just 96 walks while striking out 371 batters. In 54 home games they have been even better with a 2.32 ERA and a 0.982 WHIP allowing 52 walks and recording 199 K’s spanning 186 innings of work. The bullpen is also 12-2 in home games. Twins bullpen is largely inconsistent posting a 4.69 ERA with a 1.446 WHIP allowing 121 walks and recording 273 Ks spanning 343 ⅔ innings of work. Between the offense and the bullpen, the Dodgers will be nearly always competitive in every game played moving forward. The following list of games show that the Dodgers are 7-3 in games played in 2017 where they were in a tied game through six innings. This is not all that relevant for a single game, but does reflect how strong the bullpen has been this season. I rarely state subjective opinions in these reports, but the The ‘Next Man Up’ motto will be apparent for this Dodgers team moving forward.
07-23-17	Brewers v. Phillies -111	Top	3-6	Win	100	2 h 29 m	Show
7* graded play on Philadelphia (904) as they take on Milwaukee in MLB action set to start at 1:35 PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics Milwaukee was the leader in the NL Central at the break, but have since lost 6 of 9 games including a four-game losing sweep at Pittsburgh. The Brewers remain the leaders, but the Cubs are just 1-game behind and Pittsburgh has surged to being just 3-games behind. Milwaukee leads the majors in offensive strikeouts and this has been a big reason for their losing ways. Since the Break, the Brewers have had a minimum of 9 K’s per game and 8 straight games with 10 or more. Until, they exercise discipline and reduce the number of swings on balls outside the strike zone, this trend will continue indefinitely. Phillies starter Eickhoff had a solid 2016 season with several KPI in the NL top-10 list. However, he has struggled in 2017 with a 1-7 record and 4.83 ERA. In 3 years of professional service, he has posted a solid 3.80 ERA and averaging 8 K’s per start. Eikhoff is showing significant signs of returning to that 2016 form. Over his last two starts he has recorded 30 strikes looking and 24 strikes swinging and missing. Milwaukee’s free-swinging batters will be to his liking this afternoon. Advanced and Predictive Analytics Discussion Points The following system has produced a 45-19 record hitting 70% winners and has made 27 units/unit wagered since 1997. Play on all NL teams (home and away). Money line is +125 to -125. With a starting pitcher winning less than 30% of his starts. Facing an opponent with a starting pitcher whose WHIP is 1.450 to 1.550 on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Always note when the situation reflects the power of the dog in units won and not win percentage. Phillies are a solid 37-28 (+19.4 Units) against the money line after having won 3 of their last 4 games over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Phillies.
07-22-17	Braves v. Dodgers -230	Top	2-6	Win	100	13 h 46 m	Show
7* graded play on Dodgers as they take on the Braves in MLB action set to start at 9:10 PM ET. Recommended Wagering Strategy Given the large amount of wood needed to be paid on the Dodgers, a combination wager is the preferred strategy to offset risk and maintain a strong risk-reward profile. The combination wager is in two parts consisting of a 4.5* play on the Run Line and a 2.5* play on the money line. An alternative strategy is to use the - 2 ½ run line. This strategy is in three parts with a 4* play on the Run Line, a 2* play on the money line and a 1* play using the -2 ½ Run Line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 41-20 against the run line (+20.6 Units) facing an overused bullpen that pitches more than 3.2 innings per game this season. Dodgers are 49-12 (+29.9 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Tehran is 9-24 (-16.2 Units) against the money line in night games over the last 2 seasons. Dodgers are 37-11 (+20.4 Units) against the money line after having won 4 or 5 of their last 6 games this season. Player Focus Admittedly, this is just a single piece of anecdotal evidence that does support the Dodgers, but it may reflect a reason to put Corey Seager on your daily fantasy team today. Seager was hitless in last night’s loss. The Dodgers are 28-7 following a game where Seager had no hits since being called up in September 2015. So, far this season, Seager has had 13 hitless games and the Dodgers are 11-2 in the next game for strong 31% ROI. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers.
07-22-17	Cardinals +145 v. Cubs	Top	2-3	Loss	-100	5 h 7 m	Show
7* graded play on St. Louis as they take on the Chicago Cubs in MLB action set to start at 4:05 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, St. Louis is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and advanced analytics. Now, let’s examine the game situations that qualify for the ‘Black Jack’ system. Advanced and Predictive Analytics Discussion Points The following system has gone 83-34 hitting 71% winners and has made 57 units/unit wagered since 1997. Play against NL home teams. With a starting pitcher whose ERA is 3.70 to 4.20 on the season. Following a game where the bullpen was hammered for 6 or more earned runs. Arrieta pitched well, but the bullpen put in a horrific performance. The Cubs bullpen issued 8 walks and 9 earned runs. Carl Edwards entered the game to start the 7th inning and did not record an out issuing 2 walks, and allowing 3 ER. Next, Rondon entered and he too, did not record an out issuing 2 walks and allowing 4 ER. The Cubs had a 3-2 lead in the top of the 7th inning and allowed NINE earned runs. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cardinals.
07-21-17	Red Sox v. Angels +184	Top	6-2	Loss	-100	15 h 36 m	Show
7* graded play on the Angels (926) as they take on Boston in AL action set to start at 10:07 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, the Angels are today’s edition of the ‘Upset Alert’ DOG. Playing all of these “+140 dogs” and hit say 52%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of supporting systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 38-26 hitting 59% winners and has made 38.4 units/unit wagered since 2013. The system has also averaged an impressive 170 DOG. Play on all AL underdogs. Money line of +150 or more. Team slugging percentage . of 410 or worse on the season. After a win by 6 runs or more. For the 2017 season, the system by itself has gone 4-4 and made an impressive 3.3 units in profits. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Angels and look for the upset.
07-20-17	Padres +173 v. Giants	Top	5-2	Win	173	8 h 16 m	Show
7* graded play on San Diego as they take on San Francisco in MLB action set to start at 10:10 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, San Diego is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 52%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following ‘Black Jack’ system has gone 37-34 hitting just 52% winners, but has made 41.1 units/unit wagered since 2013. The system has also averaged an impressive +203 DOG. Play on road underdogs. Money line of +175 to +250. Team has a terrible OBP of .300 or less. Facing a very good NL starting pitcher with a WHIP greater than 1.250. With an overused bullpen that pitches more than 3.2 innings per game. The following game situations match the SIM projections and my compiled research for the outcome of this game. San Diego is a solid 13-6 (+12.4 Units) against the money line vs. an NL team with a team batting average of .245 or worse this season. San Francisco is just 12-27 (-19.5 Units) against the money line when playing against a team with a losing record this season. San Francisco is just 9-26 (-22.0 Units) against the money line vs. teams whose hitters draw 3 walks or less/game this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board San Diego.
07-18-17	Cubs -106 v. Braves	Top	5-1	Win	100	15 h 55 m	Show
7* graded play on the Chicago Cubs (959) as they take on the Atlanta Braves in NL MLB action set to start at 7:35 PM ET. How to Play One of the dominant keys to profitability is being able to combine and optimize the money line, run line, alternate run lines, and the -2 1.2 run lines. For this game, we recommend a 5* amount using the money line and a 2* amount using the Run Line, which is currently trading at -1.5 +110. If you have access to the -2 ½ Run Line, then consider making a 4.5* amount using the money line, 1.5* amount using the Run Line and a 1* amount using the -2 ½ Run Line. The -2 ½ Run Line is expected to open at around +160/+165. So, if you are playing $100 per ‘*’ unit, the wager is $450 on the money line, $150 on the Run Line, and $100 using the -2 ½ Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 60-15 hitting 80% winners and has made 35.7 units/unit wagered since 2013. The system has also averaged an impressive . Play against home underdogs. Money Line of +125 or more. Overused bullpen that pitches more than 3.2 innings per game. Starting pitcher sporting a WHIP of 2.000 or higher over his last three starts. Fundamental Matchups Braves starter Sean Newcomb has been hammered in his last two starts allowing 11 ER, 14 hits, 6 BB, and 9 Ks spanning 7 ⅔ innings of work. His WHIP is a horrifying 2.61 over those last two starts. His third last start was a quality start completing 6 innings and allowing zero earned runs, but it was against the hapless hitting Padres. He is basically a two pitch (FB/Curve) starter with a 93-94 fastball and a78-80 MPH curveball. The following grid shows his pitch stats for his last start. SNIP is strikes Not In Play and do not include any balls in play. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
07-17-17	Cubs -154 v. Braves	Top	4-3	Win	100	13 h 30 m	Show
7* graded play on the Cubs (909) as they take on the Braves in MLB action set to start at 7:35 PM ET. Recommended Wagering Strategy In situations like this one, we like making these 7* wagers combination wagers that are designed to optimize the ROI for the opportunity. In this game, consider making a 5* play using the Money Line and a 2* play using the Run Line. The current Run Line is - 1 ½ + 110 and offers a more efficient way to reduce overall risk and increase total return of the 7* amount. Advanced and Predictive Analytics Discussion Points The following system has gone 125-54 hitting 70% winners and has made 53.6 units/unit wagered since 1997. Play on all NL favorites with a money line of -110 or higher (CHICAGO CUBS) with a starting pitcher whose ERA is 4.20 to 4.70 on the season and with that starting pitcher struggling over his last 3 starts posting an ERA of 7.50 and higher. The following game situations match the SIM projections and my compiled research for the outcome of this game. Atlanta starter Tehran is just 6-19 (-15.1 Units) against the money line in home games vs. teams whose hitters strike out 7 or more times/game over the last 2 seasons. Tehran is a money burning 6-21 (-17.1 Units) against the money line in home games over the last 2 seasons. Tehran is a near imperfect 1-9 (-9.6 Units) against the money line in home games after giving up 2 or fewer earned runs in his last 2 outings over the last 2 seasons. Lester has posted a 2.14 ERA and a 1.166 WHIP against the Braves. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
07-16-17	Nationals v. Reds +107	Top	14-4	Loss	-100	6 h 57 m	Show
7* graded play on Cincinnati ((52) as they take on Washington in MLB action set to start at 1:10 PM ET. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 143-73 hitting 66.2% winners and has made 60 units/unit wagered since 2013. Play against NL road teams (WASHINGTON) with a team batting average of .275 or better on the season. Here is a second system that has produced 35.8 units/unit wagered playing against NL road teams (WASHINGTON) with a team batting average of .275 or better on the season, hot hitting team batting .280 or better over their last 20 games. Here is a third system that has made 23.3 units with a 31015 record good for 67% winners since 1997. Play against road favorites with a money line of -110 or higher (WASHINGTON) with a cold starting pitcher posting a WHIP of 2.000 or higher over his last 5 starts, with an on base percentage of .350 or better over their last 20 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Washington is just 15-21 (-18.3 Units) against the money line in day games this season. Reds are a solid 20-13 (+7.6 Units) against the money line in home games against right-handed starters this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds.
07-14-17	BC -3 v. Hamilton	Top	41-26	Win	100	84 h 16 m	Show
7* graded play on British Columbia (377) as they take on Hamilton in CFL action set to start Saturday at 7:30 PM ET. SIM algorithm shows a high probability that BC will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following system has gone 37-8 ATS hitting 80.4% winners and has made 27.1 units/unit wagered since 2013. Play against home teams where the line is +3 to -3 and are off a non-conference game. The following game situations match the SIM projections and my compiled research for the outcome of this game. BC is 11-3 ATS (+7.7 Units) when they score 28 or more points in a game over the last 2 seasons. BC is 16-5 ATS (+10.5 Units) in road games in games where they outgain their opponents by 1 to 1.5 yards/play. Hamilton is just 3-12 ATS (-10.2 Units) when they allow 28 or more points in a game over the last 2 seasons. Hamilton is 3-12 ATS (-10.2 Units) in home games in games where they allow 8.5 to 9 net passing yards/attempt. Hamilton is a near imperfect 1-8 ATS (-7.8 Units) when they allow 100 to 150 rushing yards in a game over the last 3 seasons. Hamilton is 6-19 ATS (-14.9 Units) in home games in games where they are outgained by their opponents by 50-100 yards. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board BC.
07-13-17	Toronto +3 v. Winnipeg	Top	25-33	Loss	-110	62 h 46 m	Show
7* graded play on Toronto Argonauts (371) as they take on Winnipeg in CFL action set to start at 8:30 PM ET. SIM algorithm shows a high probability that Toronto will win this game. How to Play Given that Toronto is a 3-point dog, we highly recommend making this play a combination wager consisting of a 5* play using the line and a 2* play using the money line. The single requirement to validate this strategy is that the money line is +135 or higher. If the money line is not at that level, then simply wager a 7* amount on the line. Advanced and Predictive Analytics Discussion Points Winnipeg finds itself in a horrid game situation. They are coming off a dog win two weeks ago and now face a Toronto team that is still stinging from the loss to BC installed as a modest favorite. In this combination of variables, teams are 2-15 ATS installed as a home favorite over the past 10 years. Date Season Team Opp Site Final Line Total ATS Margin ATS Result 9-Aug-07 2007 Alouettes Stampeders home 30-18 -3 51 9 W 17-Aug-07 2007 Stampeders Lions home 45-45 -1.5 51 -1.5 L 18-Aug-07 2007 Roughriders Eskimos home 39-32 -10 50 -3 L 23-Sep-07 2007 Alouettes Eskimos home 43024 -4.5 53.5 -10.5 L 25-Jul-08 2008 Lions Alouettes home 36-34 -6 53 -4 L 1-Sep-08 2008 Tiger Cats Argonauts home 31-34 -3 54 -6 L 13-Sep-08 2008 Eskimos Tiger Cats home 38-33 -7 56 -2 L 24-Jul-09 2009 Blue Bombers Argonauts home 42874 -4 50.5 -18 L 13-Aug-09 2009 Eskimos Stampeders home 38-35 -2 59 1 W 17-Jul-10 2010 Roughriders Eskimos home 24-20 -7 58 -3 L 8-Sep-13 2013 Alouettes Argonauts home 30-37 -2.5 49.5 -9.5 L 10-Jul-15 2015 Blue Bombers Alouettes home 25-23 -2.5 53 -0.5 L 8-Aug-15 2015 Argonauts Roughriders home 30-26 -9 49 -5 L 20-Aug-15 2015 Lions Alouettes home 13-23 -2.5 48.5 -12.5 L 7-Jul-16 2016 Tiger Cats Blue Bombers home 24-28 -9 52.5 -13 L 7-Jul-16 2016 Lions Argonauts home 14-25 -6 50 -17 L 8-Jul-16 2016 Redblacks Stampeders home 26-26 -1 52.5 -1 L 13-Jul-17 2017 Blue Bombers Argonauts home -3 52.5 The following system has gone 32-8 ATS hitting 80% winners and has made 23.2 units/unit wagered since 2013.Play against home teams where the line is +3 to -3 (WINNIPEG) after gaining 6.5 or less passing yards/attempt in last game. The following game situations match the SIM projections and my compiled research for the outcome of this game. Toronto is 9-1 ATS (+7.9 Units) in road games in the first half of the season over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Toronto.
07-09-17	Tigers v. Indians -203	Top	5-3	Loss	-203	10 h 50 m	Show
7* graded play on Cleveland (924) as they take on Detroit in MLB action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Cleveland will win this game by at least 2 runs. How to play: We suggest making this a combination wager consisting of 5.5* play using the Run Line and a 1.5* play using the Money Line. If you have access to a -2 ½ alternate line, then we like a 5* play using the Run Line and 2* play using the -2 ½ alternate Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 50-8 hitting 86% winners and has made 35 units/unit wagered since 1997. Play on all favorites with a money line of -175 to -250 (CLEVELAND) average hitting team batting 0.265 or less and with a hot starting pitcher posting a WHIP of no higher than 1.100 over his last 10 games and is now facing a good AL starting pitcher posting an ERA of 4.20 or less. The following game situations match the SIM projections and my compiled research for the outcome of this game. Detroit is 12-25 (-14.8 Units) against the money line vs. a starting pitcher that allows 5.5 or less hits/start this season. Detroit is 10-22 (-14.1 Units) against the money line vs. an AL starting pitcher whose WHIP is 1.300 or better this season. Cleveland is an amazing 18-2 (+16.2 Units) against the money line after 2 straight wins by 4 runs or more over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Cleveland tonight.
07-09-17	Astros +102 v. Blue Jays	Top	19-1	Win	102	6 h 32 m	Show
7* graded play on Houston (913) as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Houston will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 18-5 (+11.3 Units) against the money line in road games when playing against a team with a losing record this season. Houston is 20-7 (+11.3 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse this season. Houston is 35-14 (+16.4 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Houston is 19-3 (+14.3 Units) against the money line facing terrible speed teams averaging 0.35 or less SB's/game this season. Toronto is 6-12 (-13.2 Units) against the money line in home games vs teams who strand 6.9 or less runners on base per game this season. Houston is 19-5 (+14.0 Units) against the money line on the road when the money line is +125 to -125 this season. Houston is 32-10 (+20.5 Units) against the money line in road games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston.
07-08-17	Orioles v. Twins -111	Top	5-1	Loss	-111	2 h 50 m	Show
7* graded play on Minnesota (966) as they take on Baltimore in MLB action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Orioles are just 2-13 (-11.4 Units) against the money line in road games vs. a team with a poor bullpen whose ERA is 4.20 or worse this season. Orioles are 9-26 (-16.0 Units) against the money line in road games vs. teams whose hitters strike out 7 or more times/game this season. Manny Machado had a big game last night, but is very alarming at what has occurred in the next game. Orioles are 4-13 SU for a -52% ROI in games following a game where Manny Machado had more than 1 RBI during the 2017 season. We look at key hitters on teams that will have hitless nights and also extreme performance results mainly for the build of our fantasy data repository, which will be launched ahead of the NFL and NCAAF seasons. In this game, with Baltimore fading, it becomes even more critical and meaningful when a star player has a direct impact on the result of the game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Minnesota.
07-08-17	Astros +113 v. Blue Jays	Top	2-7	Loss	-100	2 h 42 m	Show
7* graded play on Houston as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Houston will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 84-38 hitting 69% winners and has made 44 units/unit wagered since 2013. Play on road teams (HOUSTON) that are hot hitting teams batting .280 or better over their last 20 games, with a hot starting pitcher posting a WHIP less than 1.000 over his last 5 starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 18-5 (+11.3 Units) against the money line in road games when playing against a team with a losing record this season. Houston is 20-7 (+11.3 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse this season. Houston is 35-14 (+16.4 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Houston is 19-3 (+14.3 Units) against the money line facing terrible speed teams averaging 0.35 or less SB's/game this season. Toronto is 6-12 (-13.2 Units) against the money line in home games vs teams who strand 6.9 or less runners on base per game this season. Houston is 19-5 (+14.0 Units) against the money line on the road when the money line is +125 to -125 this season. Toronto is just 1-8 (-9.7 Units) against the money line after allowing 9 runs or more this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston.
07-07-17	Royals v. Dodgers UNDER 9	Top	1-4	Win	100	15 h 12 m	Show
7* graded play on the ‘UNDER’ in the Dodgers - Kansas City (930-929) game set to start at 10:10 PM ET. SIM algorithm shows a high probability that fewer than 8 runs will be scored in this game. Fundamental Matchups and Data Metrics Looking at our 30-year MLB database, we know that teams that have won 13 or more of their last 16 games are 195-149-17 ‘UNDER’ producing a solid ROI of 14.3 percent since 2012. Adding in home game and home team is favored by at least -180 produces a 41-23-2 ‘UNDER’ record and a very strong 24% ROI. Add in the team filter and Dodgers and we see that they are 7-1 ‘under’ in this validated situation. Starting pitchers in this matchup are coming off poor starts, bt here again the facts pulled out of the DB clearly support the ‘UNDER’. In games where both starters are coming off non-quality starts (a quality start is 6 IP and allowing 3 or fewer earned runs) and with a home team line of at least 180 favorite have produced a 46-29 ‘UNDER’ mark and a very nice 17.7% ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. KC is a solid 37-19 UNDER (+15.7 Units) in road games when playing against a team with a winning record over the last 2 seasons. KC is 43-23 UNDER (+16.4 Units) vs. teams outscoring opp by 0.5 or more runs/game on the season over the last 2 seasons. Dodgers are 44-24 UNDER (+16.9 Units) in home games vs teams who strand 6.9 or less runners on base per game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’.
07-06-17	Diamondbacks v. Dodgers -151	Top	4-5	Win	100	15 h 38 m	Show
7* graded play on the Dodgers (960) as they take on Arizona in NL MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game. Fundamental Matchups and Data Metrics Dodgers have been amazing during this first half of the season and are without a doubt the best team in the NL and perhaps in all of baseball. Arizona, though, is just 4 ½ games back of the Dodgers and are the second-best team in the NL. Over the past five seasons, there have been two other occasions where a MLB team won 22 of their last 26 games as the Dodgers have done. One was in 2013 and it was the Dodgers again and the other was the Rays in 2013. The following games show 2017 occurrences where a team won 13 or more of their last 16 games, are playing their next game at home and the line is a favorite of at least -150. These teams are 9-3 producing a 14.3% ROI. Location Team Starter Opponent Opponent Score Result O-U Result Line Total home Yankees Michael Pineda - R Orioles Ubaldo Jimenez - R 12-4 W O -175 9 home Astros Brad Peacock - R Angels Matt Shoemaker - R 4-9 L O -165 8.5 home Astros David Paulino - R Angels Jesse Chavez - R 6-12 L O -170 9.5 home Dodgers Alex Wood - L Rockies Kyle Freeland - L 6-1 W U -225 8 home Dodgers Clayton Kershaw - L Rockies Tyler Chatwood - R 4-0 W U -255 7 home Diamondbacks Randall Delgado - R Phillies Jeremy Hellickson - R 2-1 W U -174 10 home Dodgers Brandon McCarthy - R Rockies Tyler Anderson - L 12-6 W O -170 8.5 home Diamondbacks Zack Greinke - R Phillies Nick Pivetta - R 6-1 W U -240 8.5 home Dodgers Rich Hill - L Angels Ricky Nolasco - R 0-4 L U -215 9 home Dodgers Kenta Maeda - R Angels Jesse Chavez - R 4-0 W U -220 8 home Dodgers Clayton Kershaw - L Diamondbacks Patrick Corbin - L 4-3 W P -210 7 home Dodgers Alex Wood - L Diamondbacks Zack Godley - R 1-0 W U -225 7.5 home Dodgers Rich Hill - L Diamondbacks Robbie Ray - L -160 7.5 Advanced and Predictive Analytics Discussion Points The following system has gone 39-11 hitting 78% winners and has made 25.6 units/unit wagered since 2013. Play on all NL favorites with a money line of -110 or higher. Allowing 3.5 or less runs/game on the season. Against an opponent that is a top level team outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 30-10 (+17.1 Units) against the money line facig NL teams scoring 4.5 or more runs/game this season. Dodgers are 44-12 (+21.8 Units) against the money line as a favorite of -150 or more this season. Dodgers are 32-11 (+15.4 Units) against the money line after having won 4 or 5 of their last 6 games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers.
07-05-17	Diamondbacks v. Dodgers UNDER 7.5	Top	0-1	Win	100	15 h 53 m	Show
7* graded play ‘UNDER’ in the LA Dodgers - Arizona Diamondbacks matchup in NL MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that fewer than 8 runs will be scored in this game. Advanced and Predictive Analytics Discussion Points The following system has gone 40-13 hitting 76% winners and has made 76% units/unit wagered since 2013. Play ‘under’ with home teams (LA DODGERS) during the month of July having won 12 or more of their last 15 games. If we make site equal to ‘any’ then record is still quite solid at 57-21 producing a 35% ROI since 2013. If we add back the home venue and filter only Dodger games we get an amazing 12-2-1 ‘UNDER’ record good for 86% winners. Jul 08, 2013 away Dodgers Zack Greinke - R Diamondbacks Randall Delgado - R 6-1 W U -105 9 Jul 09, 2013 away Dodgers Ricky Nolasco - R Diamondbacks Ian Kennedy - R 6-1 W U 103 9 Jul 10, 2013 away Dodgers Hyun Jin Ryu - L Diamondbacks Tyler Skaggs - L 7-5 W O 100 9 Jul 11, 2013 home Dodgers Chris Capuano - L Rockies Drew Pomeranz - L 6-1 W U -160 8 Jul 12, 2013 home Dodgers Clayton Kershaw - L Rockies Juan Nicasio - R 0-3 L U -255 6.5 Jul 24, 2013 away Dodgers Ricky Nolasco - R Blue Jays Esmil Rogers - R 8-3 W O 100 9.5 Jul 25, 2013 home Dodgers Zack Greinke - R Reds Mat Latos - R 2-5 L P -118 7 Jul 26, 2013 home Dodgers Clayton Kershaw - L Reds Homer Bailey - R 2-1 W U -177 6.5 Jul 27, 2013 home Dodgers Hyun Jin Ryu - L Reds Bronson Arroyo - R 4-1 W U -125 7.5 Jul 28, 2013 home Dodgers Chris Capuano - L Reds Tony Cingrani - L 1-0 W U -102 7.5 Jul 30, 2013 home Dodgers Zack Greinke - R Yankees Andy Pettitte - L 3-2 W U -165 7 Jul 31, 2013 home Dodgers Clayton Kershaw - L Yankees Hiroki Kuroda - R 0-3 L U -180 6 Jul 01, 2017 away Dodgers Rich Hill - L Padres Dillon Overton - L 8-0 W U -210 8.5 Jul 02, 2017 away Dodgers Kenta Maeda - R Padres Jhoulys Chacin - R 3-5 L P -195 8 Jul 04, 2017 home Dodgers Clayton Kershaw - L Diamondbacks Patrick Corbin - L 4-3 W P -210 7 Jul 05, 2017 home Dodgers Alex Wood - L Diamondbacks Zack Godley - R -215 8 Jul 06, 2017 home Dodgers Rich Hill - L Diamondbacks Robbie Ray - L The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona is a solid 22-10 UNDER (+11.0 Units) vs. NL teams scoring 4.5 or more runs/game on the season this season. Dodgers are a solid 14-4 UNDER (+9.6 Units) when playing against a top-level team winning at least 62% of their games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’.
07-05-17	Padres v. Indians -220	Top	6-2	Loss	-220	13 h 38 m	Show
7* graded play on Cleveland (926) as they take on San Diego in MLB action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Cleveland will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 37-12 hitting 76 % winners and has made units/unit wagered since 1997. Any AL team (CLEVELAND) AL offensive team scoring 4.4 to 4.9 runs/game. Slugging percentage of .370 or worse over their last 10 games. Against an average NL starter sporting an ERA of 4.20 to 5.20. The following game situations match the SIM projections and my compiled research for the outcome of this game. San Diego is 4-16 (-12.5 Units) against the money line when playing against a team winning between 54% to 62% of their games in 2017. San Diego is 17-57 (-30.7 Units) against the money line in road games vs. a starting pitcher whose strikes out 5 or more batters per start over the last 3 seasons. Francona is 56-23 (+23.1 Units) against the money line vs. teams outscored by opp by 0.5 or more runs/game in the second half of the season as the manager of the Indians. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Indians.
07-04-17	Diamondbacks v. Dodgers -283	Top	3-4	Win	100	13 h 39 m	Show
10* graded play on the LA Dodgers (960) using the Run Line as they take on the Arizona Diamondbacks in MLB action set to start at 9:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game by at least 2 runs. Fundamental Matchups and Data Metrics Kershaw is why we are on this game. He is coming off a splendid outing striking out 12 batters with three straight in the first inning. In games following a start where he fanned 9 or more batters and threw less than 115 pitches his team record is a perfect 22-0 SU and 15-7 against the Run Line. Moreover, the ‘Under’ is whopping 17-4 in these games. In these 22 games, he has allowed 0.86 runs per start. How to Wager We recommend a 7* play using the Run Line, which is currently at -145. If you have access to the -2 ½ run line, add a 3* play, which will be listed as a modest dog payout. Last, consider an optional 5* parlay using the Run Line and the ‘Under’. Advanced and Predictive Analytics Discussion Points The following system has gone 87-21 hitting 81% winners and has made 47.4 units/unit wagered since 2012. Play against all NL underdogs with a money line of +150 or more (ARIZONA) with a low on-base percentage of 0.350 or less) against a team with a good bullpen (WHIP of 1.350 or better), hot hitting team batting .280 or better over their last 20 games. Here is a second system that has gone 47-13 for 78% winners and has made 25 units/unit wagered since 2012. Play against all underdogs with a money line of +150 or more (ARIZONA) top level team, outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona is just 8-22 against the run line (-18.5 Units) vs. good defensive catchers - allowing 0.5 or less SB's/game in the second half of the season over the last 2 seasons. Arizona is 12-31 against the run line (-20.6 Units) vs. a starting pitcher whose gives up 1 or more HR's/start over the last 2 seasons. The Dodgers are a solid 37-19 against the run line (+16.1 Units) vs. good defensive catchers - allowing 0.5 or less SB's/game this season. Dodgers are 9-2 against the run line (+8.2 Units) in home games after 2 straight games where they committed no errors this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers boxed with Kershaw.
07-04-17	Orioles v. Brewers -140	Top	2-6	Win	100	8 h 18 m	Show
7* graded play on Milwaukee (976) as they take on Baltimore in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game. Fundamental Matchups and Data Metrics Adam Jones and Manny Machado went hitless in yesterday’s drubbing in Game 1 of this 3-game set. Orioles have all but fallen out of contention in the AL East given that they teams above them in the standings are all simply better teams. Orioles rank second worst in run differential. More glaring was their fielding circus allowing a runner, who over ran third base to actually score a run. Milwaukee is the surprise team in the NL Central with a 2.5 game lead over the Cubs. They rank third having hit 127 home runs and a team with solid chemistry. Advanced and Predictive Analytics Discussion Points The following system has gone 43-16 hitting 73% winners and has made 25 units/unit wagered since 2012. The system has also averaged an impressive 136 DOG wager. Play against any team (BALTIMORE) AL team with a terrible OBP of 0.310 or less against a very good NL starting pitcher (WHIP of 1.250 or less), starting a pitcher who gave up 1 or less earned runs last outing. The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is a solid 20-13 (+9.8 Units) against the money line vs. a team with a poor bullpen whose ERA is 4.20 or worse this season. Baltimore is just 54-86 (-30.8 Units) against the money line in road games vs teams who strand 6.9 or less runners on base per game over the last 3 seasons. Jimenez is just 6-18 (-14.2 Units) against the money line in road games in July games since 1997. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Brewers.
07-03-17	White Sox +116 v. A's	Top	7-2	Win	116	14 h 1 m	Show
7* graded play on the CWS (915) as they take on the Oakland A’s in MLB action set to start at 9:05 PM ET. SIM algorithm shows a high probability that CWS will win this game. Fundamental Matchups and Data Metrics Oakland is showing the signs of a team heading in the wrong direction and a team that has struggled essentially all season. They rank 28th in team batting average, 28th in hits-per-game, and 29th in K-game. They do hit home runs, but that is about it, quite frankly. The CWS are a strong hitting team ranking 10th in team batting average, 11th in hits-per-game, and 8th in BABIP (Batting average of ball in play). Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Oakland is just 69-95 (-29.1 Units) against the money line when playing against a team with a losing record over the last 3 seasons. Oakland is 16-31 (-14.8 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Oakland is 44-57 (-32.1 Units) against the money line as a home favorite of -110 or higher over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the White Sox.
07-02-17	Twins +125 v. Royals	Top	2-6	Loss	-100	7 h 17 m	Show
7* graded play on Minnesota (975) as they take on Kansas City in AL action set to start at 2:15 PM ET. SIM algorithm shows a high probability that the Twins will win this game. Fundamental Matchups and Data Metrics Wood starts for the Royals and he did compete for a SP position during Spring Training. He has steadily come out of the bullpen and it took until now for him to adjust to the reliever role. Now, after not throwing more than 49 pitches in any appearance this season, management is expecting him to start. This is extremely hard for any pitcher to transition successfully and we expect him to get roughed up early in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is a solid 19-7 (+17.0 Units) against the money line in road games vs. an AL team with a team batting average of .260 or lower this season. Minnesota is 15-6 (+13.9 Units) against the money line in road games vs. good fielding teams averaging 0.6 or fewer errors/game this season. Minnesota is 19-8 (+16.0 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse this season. Minnesota is 21-12 (+14.6 Units) against the money line on the road when the total is 8.5 to 10 this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins.
07-01-17	Cubs v. Reds -101	Top	3-5	Win	100	7 h 33 m	Show
7* graded play on the Cincinnati Reds (908) as they take on in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Reds will win this game. We also have a 5* play on the ‘over’ in this game. How to Play: Our recommendation is to play a 7* play on the Reds and the ‘Over’. Next, consider making a 5* parlay with the Reds and the ‘over’ and if available add a 3* play using the Reds with the alternate run line and the ‘over’. Fundamental Matchups and Data Metrics We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 53-33 hitting 62% winners and has made 32.8 units/unit wagered since 1997. The system has also averaged an impressive +124 DOG play. Play on home underdogs with a money line of +100 or higher (CINCINNATI) that are good offensive teams scoring 4.7 runs/game or more against a decent NL starting pitcher posting an ERA between 3.70 to 4.20), with an overused bullpen that pitches more than 3.2 innings per game. Supporting the ‘OVER’ play is a system that has gone 61-18 for 77% winners since 1997. Play ‘over’ with home teams (CINCINNATI) good NL offensive team scoring 4.7 or more runs/game against a team with a very good bullpen posting an ERA of 3.33 or lower, after shutting out their opponent. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds and the ‘OVER’.
06-30-17	Braves v. A's -160	Top	3-1	Loss	-160	14 h 44 m	Show
7* graded play on Oakland (980) as they take on the Braves in MLB action set to start at 10:05 PM ET. SIM algorithm report data illustrates conclusively that Oakland has a high probability of winning this game. Fundamental Matchups and Data Metrics Oakland is a power hitting team that ranks 11th in MLB in Slugging percentage and eighth in isolated hitting power. There is a metric coined secondary batting average , which accounts for power, and shows that Oakland ranks 8th in that ratio. Atlanta ranks 28th in secondary BA and 24th in slugging percentage. Atlanta starter Mike Foltynewicz is not a strikeout type pitcher, which has given Oakland trouble this season. Instead, his style augments the power in the Oakland lineup. He has posted a 6.91 ERA with a 2.024 WHIP and allowing 22 hits in his last three starts spanning just 14 ⅓ innings. Advanced and Predictive Analytics Discussion Points Braves have been playing well over the past several weeks, but are now in a difficult to win situation. So far in 2017, teams that have won at least 7 of their last 10 games and are now installed as 135 or higher dogs are 14-37 for 27.5% and have lost 15.55 units averaging a 162 dog. These results produce a -30.5 ROI. In May alone, this situation occurred 23 times and the play against team went a horrid 3-20 for 13% winners and losing 15.6 units for a horrifying -68% ROI. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Oakland.
06-28-17	A's +168 v. Astros	Top	8-11	Loss	-100	13 h 58 m	Show
7* graded play on Oakland (971) as they take on Houston in MLB action set to start at 8:10 PM ET. SIM algorithm shows a high probability that Oakland will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Oakland is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 27-12 hitting 69% winners and has made 24.6 units/unit wagered since 1997. The system has also averaged an impressive 136 DOG play. Play against AL home favorites with a money line of -125 to -175 that is a top-level offensive team scoring 5.4 runs/game or more and is now facing a decent starting pitcher posting an ERA between 4.20 to 4.70, with a starting pitcher whose WHIP is 1.400 to 1.500 on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Oakland A’s.
06-27-17	Twins +179 v. Red Sox	Top	2-9	Loss	-100	12 h 21 m	Show
7* graded play on Minnesota (915) as they take on Boston in MLB action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 101-109 hitting only 48% winners and has made an incredible 80.5 units/unit wagered since 1997. The system has also averaged an impressive 188 Dog Play. Play against home favorites with a money line of -175 to -250 (BOSTON) starting a pitcher who gave up 2 or fewer earned runs in his last 2 outings against an opponent with a cold starting pitcher sporting an ERA of 7.00 or higher over his last five starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is a perfect 6-0 (+8.9 Units) against the money line in road games when playing against a good team winning between 54 and 62% of their games this season. Minnesota is 16-5 (+15.4 Units) against the money line in road games vs. AL teams allowing 4.4 or less runs/game on the season this season. Minnesota is 20-8 (+17.6 Units) against the money line as a road underdog of +100 or higher this season. Pomerantz is a horrid 2-10 (-10.5 Units) against the money line at home when the total is 10 or higher since 1997. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins.
06-25-17	Rockies v. Dodgers -151	Top	6-12	Win	100	6 h 14 m	Show
7* graded play on the Dodgers as they take on Colorado in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game. Fundamental Matchups and Data Metrics Dodgers and Clayton Kershaw defeated the Rockies 4-0 Saturday night. Kershaw had to throw 33 pitches to get out of a bases loaded 1-out jam in the first inning. In only what few SP can do at this level, Kershaw completed 6 innings on 103 pitches and got the job more than done. Dodgers are truly having fun and the chemistry couldn’t be better. They rank just 15th in team batting average, but are first with 152 doubles. Having a talent like Puig batting 7th in this lineup makes it one of the best in the Majors. Team pitching has been incredible and it is not just due to Kershaw. The team pitching ranks first in ERA, 4th in saves, 1st in hits allowed, third in HR allowed (would be first if not for the higher number of bombs that Kershaw has allowed), and first in strikeouts. The now have 50 wins and are the best team in the NL. They have won nine straight games and have not missed a beat with Gonzalez and Seager on the 10-day DL. In fact,m they have won 16 of the last 17 games and have lost at home just 10 times this season and lost just three home games since May 18. Advanced and Predictive Analytics Discussion Points The following system has gone 86-21 hitting 80.4% winners and has made 46.4 units/unit wagered since 2012. Play against all NL underdogs with a money line of +150 or more (COLORADO) with a low on-base percentage of .350 or less and is now facing a team with a good bullpen posting a WHIP of 1.350 or lower and a team batting .280 or better over their last 20 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 36-8 (+24.5 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Dodgers are 42-13 (+25.3 Units) against the money line in home games vs. NL teams scoring 4.5 or more runs/game on the season over the last 2 seasons. Dodgers are 19-3 (+15.2 Units) against the money line in home games after allowing 2 runs or less 2 straight games over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers.
06-25-17	Reds +138 v. Nationals	Top	6-2	Win	138	5 h 0 m	Show
7* graded play on Cincinnati ( 903) as they take on in Washington MLB action set to start at 1:35 PM ET. SIM algorithm shows a high probability that Cincinnati will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Cincinnati is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Feldman is a perfect 7-0 (+8.7 Units) against the money line on the road when the total is 10 to 10.5 since 1997. Washington is just 13-18 (-15.3 Units) against the money line in day games this season. Reds have fallen on very hard times having lost 12 of their last 13 games and were hammered in Saturday’s game. However, this is a one-game situation we have identified where the lie is providing extra value given that the public will be betting heavily on the Nationals. Washington won 18-5 Saturday. Teams that have scored 18 or more runs in a game and playing at home with the a line of at least -150 in the next game are 8-8 and losing n incredible 9.4 units/unit wagered since 2004. The Nationals are 4-7 losing 4.2 units in the game following one where they scored 15 or more runs. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds.
06-24-17	Mets +102 v. Giants	Top	5-2	Win	102	11 h 56 m	Show
7* graded play on the Mets (959) as they take on the Giants in MLB action set to start at 7:15 PM ET. SIM algorithm shows a high probability that the Mets will win this game. Fundamental Matchups and Data Metrics Mets have been playing terrible baseball and last night’s win ended a 4-game losing streak. However, the Giants are playing even worse and are 22-games under 500 for the season. The Mets bullpen is horrific posting a 6.64 ERA and a 1.732 WHIP in 32 road games spanning 105 ⅔ innings of work. DeGrom starts tonight and we are will to bet that the bullpen will be needed for just 1 and perhaps 2 innings maximum. DeGrom has pitched 17 innings over his last two starts allowing just 1 ER and eight hits. We expect a similar effort against a very weak hitting Giants lineup. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Giants are just 7-21 (-16.1 Units) against the money line vs. an NL team with a team batting average of .250 or worse this season. Giants are 11-24 (-17.1 Units) against the money line vs teams who strand 6.9 or less runners on base per game this season. 10-24 (-16.1 Units) against the money line vs. an NL team with an on base percentage .325 or worse this season. Giants are 11-23 (-16.9 Units) against the money line when the money line is -100 to -150 this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mets.
06-23-17	Brewers v. Braves +100	Top	4-5	Win	100	12 h 2 m	Show
7* graded play on Atlanta (906) as they take on Milwaukee in MLB action set to start at 7:10 PM ET. SIM algorithm program results point towards Atlanta winning this game. Fundamental Wagering Scenarios We also like making this opportunity a combination wager consisting of a 5* play using the money line and a 2* play using the Run Line. The must-have is that the RL must be offering the DOG side of the line. Current lines are showing a 1 ½ line for the host Braves and this would not work for this wager. If your book offers the alternate run line, then you will be able to get the dog side, which we estimate will be -1 ½ + 165 at minimum. The Braves allowed more than 10 runs and used five pitchers to earn their way to yesterday’s 12-11 win. They scored 8 runs in the fifth inning and had to hold on as Giants scored 3 runs in the 8th and 3 runs in the ninth. However, since 2004, teams that used 5 or more pitchers, allowed 10 runs, and still got the win are 50-32 making 10 units with a -133 average line and a solid 9.1% ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Foltynewicz is 10-1 against the run line (+10.8 Units) in home games vs. an NL team with they batting average of .255 or worse over the last 3 seasons. Foltynewicz is 7-0 against the run line (+9.2 Units) in home games vs teams who strand 6.9 or less runners on base per game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Braves.
06-21-17	Red Sox v. Royals OVER 9.5	Top	4-6	Win	100	7 h 34 m	Show
10* graded play ‘OVER’ the posted total in the Boston - Kansas City game set to start at 2:15 PM ET. SIM algorithm shows a high probability that more than 10 runs will be scored in this game. Fundamental Matchups and Data Metrics We did play on KC and starter Ian Kennedy in his last start with great success. Kennedy took a perfect game into the 6th inning. However, he is 1-4 with a 7.75 ERA over his last seven starts and Boston is arguably the best hitting team in the Majors. Boston has had 10 or more hits in four straight games and going against Kennedy lends support that this will be the fifth straight game. Pomerantz is a solid starter and has averaged a 3.84 ERA over his 7-year career. However, this season he is getting hit more often and allowing more runs posting an ERA of 4.19. Moreover, he has posted a K/9 ratio of 11.8 in his home games and a much lower 8.8 K/9 in road starts this season. This implies more batted balls in play and more hits and scoring opportunities. Advanced and Predictive Analytics Discussion Points The following system has gone 45-19 hitting 70% winners and has made 26 units/unit wagered since 2012. Play ‘OVER’ the posted total with AL home teams where the total is 9 to 9.5 (KANSAS CITY) and is a poor hitting team batting that is batting .260 or less and with a starting pitcher whose WHIP is 1.300 or better on the season and is now facing an opponent with a good starting pitcher posting an ERA of 4.20 or less. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’ for this afternoon matchup.
06-19-17	Padres v. Cubs -220		2-3	Win	100	13 h 10 m	Show
7* graded play on Chicago Cubs (908) as they take on San Diego in MLB action set to start at PM ET. SIM algorithm shows a high probability that the Cubs will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 173-54 hitting 76% winners and has made 75.4 units/unit wagered since 2012. Play on home favorites with a money line of -150 or more (CHICAGO CUBS) cold hitting team batting .250 or worse over their last 20 games and starting a pitcher who walked 1 or no hitters each of his last 2 outings. This system has gone 12-2 making 8.4 units this season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Lester is a solid 26-5 (+18.2 Units) against the money line facing an NL team with a team batting average of .250 or worse over the last 3 seasons. (Team's Record) Padres are 17-55 (-28.7 Units) against the money line in road games vs. a starting pitcher whose strikes out 5 or more batters per start over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
06-18-17	Mariners v. Rangers -186	Top	7-3	Loss	-186	7 h 21 m	Show
7* graded play on Texas (974) as they take on Seattle in MLB action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Texas will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 55-13 hitting 81% winners and has made 37.1 units/unit wagered since 2012. Play against all AL underdogs with a money line of +100 or higher (SEATTLE) with a starting pitcher whose ERA is 5.70 to 6.20 for the season and has posted an ERA at 7.50 or higher over his last three starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas is a solid 19-7 (+12.6 Units) against the money line when playing against a marginal losing team with a win percentage between 46% to 49% in games played over the last 2 seasons. Texas is 73-47 (+31.1 Units) against the money line vs. good fielding teams averaging less than 0.6 errors/game over the last 2 seasons. Texas is 17-5 (+9.8 Units) against the money line as a favorite of -110 or higher this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rangers.
06-16-17	Royals +112 v. Angels	Top	3-1	Win	112	14 h 8 m	Show
7* graded play on Kansas City (952) as they take on Los Angeles Angels in MLB action set to start at 10:05 PM ET. SIM algorithm shows a high probability that Kansas City will win this game. Fundamental Matchups and Data Metrics The Royals are fighting back and won their last three series including AL-Best Houston. They swept a 2-game set in SF before winning the first game of this four-game series against the Angels. Ian Kennedy is winless and he is not pitching at a solid MLB-level. He did post a 6 inning start allowing 4 ER, 2 BB, and 5 Ks in his last start. We believe all he needs to get is first win is a similar start tonight. Chavez has the ball for the Angels and he was hammered in his last start allowing 6 ER with 4 BB in just 3 ⅔ innings of work. The Royals team momentum will carry Kennedy to his first win tonight. Advanced and Predictive Analytics Discussion Points The following system has gone 88-47 hitting 65% winners and has made 39.7 units/unit wagered since 1997. Play against all teams when the money line is +125 to -125 (LA ANGELS) with a starting pitcher that gives up 1 or more HR's/start against opponent with a starting pitcher who is winless after 5 or more starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Chavez is just 4-14 (-12.0 Units) against the money line vs. teams whose hitters draw 3 walks or less/game over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Royals.
06-10-17	Reds +226 v. Dodgers	Top	4-5	Loss	-100	5 h 15 m	Show
7* graded play on Cincinnati (959) as they take on the Dodgers in MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that Cincinnati can win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Cincinnati is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 79-75 hitting 51.3% winners and has made 75.2 units/unit wagered since 1997. The system has also averaged an impressive 190 dog play. Play against NL home favorites with a money line of -175 to -250 (LA DODGERS) with a starting pitcher whose ERA is 3.00 or better on the season, with a hot bullpen whose ERA is under 1.50 the last 5 games. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds.
06-09-17	Warriors -6 v. Cavs	Top	116-137	Loss	-105	15 h 58 m	Show
7* graded play on the Warriors (707) as they take on Cleveland in Game 4 of the NBA Finals set to start at 9:00 PM ET. SIM algorithm shows a high probability that the Warriors will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points Warriors have gone 15-0 SU in the playoffs and have covered six straight and eight of the last nine games. This is not a situation where many amateurs will look at these streaks and presume that the Warriors are due to lose one ATS. Contrary to that, we believe that the public has not caught up to the incredible level of play the Warriors have been putting on display. Even more is that our team unanimously believes that the Warriors have yet to play their best game. The Warriors ball movement is vastly superior to the Cavaliers and was one of the major reasons we recommended to take them to win the Finals. For more years than we can count, the Spurs have always been the best ball movement team, but now there is no question that the Warriors are better than even the Spurs. This simply is the best team ever to play the game of basketball and they will obviously be highly motivated to end the series tonight and be the first team to ever go 16-0 in the playoffs. The 1983 Sixers had 1 loss during their run led by Dr. J and Moses Malone, with the latter having stated “FO, FO, FO”. They lost one game to Milwaukee. Warriors are a solid 13-5 ATS (+7.5 Units) in road games in games where they attempt 81 to 87 shots this season. Warriors are 28-16 ATS (+10.4 Units) when they make 39% to 45% of their three point attempts in a game over the last 2 seasons. Warriors are 41-22 ATS (+16.8 Units) when they score 112 or more points in a game this season. Cleveland is just 6-20 ATS (-16.0 Units) when their opponents make 48% to 51% of their shots in a game this season. Cleveland is 8-23 ATS (-17.3 Units) when they allow 112 or more points in a game this season. Cleveland is 6-14 ATS (-9.4 Units) in home games where both teams score 105 or more points in a game this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Warriors. Thanks to all, who have been loyal clients marking the conclusion of my 22nd year of handicapping the NBA. It’s sometimes hard for me to believe it has been this long, but I am looking forward to the next 20+ years and especially this upcoming football seasons where we will be implementing and deploying numerous advanced predictive analytics that we expect will produce 65% ATS or better results. I couldn’t do this without your loyal support each season. So, Thank YOU!
06-08-17	Twins v. Mariners -115	Top	2-1	Loss	-115	15 h 22 m	Show
7* graded play on Seattle (972) as they take on Minnesota in MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that Seattle will win this game. Fundamental Matchups and Data Metrics Minnesota had been playing well back in the middle of May, but now have hit the skids losing seven of their last nine games before last night’s ninth inning blown save loss to Seattle. Now, losers of 8 of their last 10 games and facing the hottest team in MLB not named Houston for the third straight game is not the best scenario to get a W. Bergman starts for Seattle and he has posted a 1.35 ERA with a 0.975 WHIP in 2 home starts. Not a big sample size, but he is pitching very well and went 6 innings allowed 2 ER, 2 walks, and six strikeouts in his last start against Tampa Bay. What has been quite impressive is his progressions since the beginning of the season. In May, he threw hard type pitches 61.4%, breaking 19.3%, and off speed 19.3%. Not much confidence reflected on the fastball based on those numbers. In May, the hard stuff percentage rose to 78.5% and in June 80%. This also reflects his abilities to work ahead in the count and to get outs recorded earlier in an AB then he had previously done. Despite the much greater reliance on the fastball, his percentage of line drives BIP has not changed from 13% in May to 14% in June. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Seattle is a solid 31-24 against the run line (+12.4 Units) in home games when playing against a team with a winning record over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Seattle.
06-05-17	Blue Jays +101 v. A's	Top	3-5	Loss	-100	15 h 58 m	Show
7* graded play on Toronto (913) as they take on Oakland in AL action set to start at 10:05 PM ET. SIM algorithm shows a high probability that Toronto will win this game. Fundamental Matchups and Data Metrics Toronto starter Happ is a perfect 4-0 with a 2.66 ERA and 1.068 WHIP in 7 career starts against the A’s. The team record in his starts has been 6-1. Oakland starter Sean Manaea has never faced the Blue Jays, but the scouting reports are well know. He throws a heavy sinking 93ish fastball. His change is above average and generates a lot of swings and misses. When batters do make contact on that pitch they generate an above average amount of ground ball outs. Look for Toronto batters to sit on the fastball early in the count and then to shorten up and look opposite field more often than normal when behind or deep into the count. He has only walked 2 batters in his last three starts, so the Toronto hitters will have pitches to put into play with a disciplined approach. Advanced and Predictive Analytics Discussion Points The following system has gone 95-64 hitting 60% winners and has made 42.3 units/unit wagered since 2012. {;ay against home teams (OAKLAND) with a decent bullpen whose WHIP is 1.350 to 1.450 on the season, good power team averaging 1.25 or more HR's/game on the season. The average play for this system has been a +111.9 over the 159 wagers made. The following game situations match the SIM projections and my compiled research for the outcome of this game. Oakland is just 24-51 (-19.9 Units) against the money line vs. a starting pitcher whose strikes out 5 or more batters per start over the last 2 seasons. Oakland is 2-13 (-13.6 Units) against the money line in home games when playing with a day off over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Toronto.
06-04-17	Cavs v. Warriors -8.5	Top	113-132	Win	100	9 h 21 m	Show
7* graded play on the Warriors (704) as they take on Cleveland in Game 1 of the NBA Finals set to start at 8:00 PM ET. SIM algorithm shows a high probability that the Warriors will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The Cavaliers are just 12-76 SU and 33-53 for 38.4% ATS winners when they have allowed opponents to shoot between 48 and 53% and dressed as road dogs of 8 or more points. Further, the Cavaliers are 0-4 SUATS when allowing opponents to shoot better than 50% and less than 55% from the field and are installed as 8 point or more dogs since 2014. The average loss in these four games is an average of 23 points to the spread with the nest Cleveland outcome losing to the spread by 16.6 points. Three of these games occurred in 2017! The SIM projects that the Warriors will score a minimum of 115 points. In past games, where Cleveland has allowed 115 or more points they are a money burning 24-114 ATS for 17% winners. And when installed in this role as a 7 or more points dog, they are a horrifying 7-40 ATS for just 15% winners. The warriors are an outstanding 108-4 and 75-31 ATS for 71% winners when they have scored more than 115 points and were installed as 7 or more point favorites. The SIM also projects that the Warriors will hit a minimum of 42% of their three-point shots. When scoring 115 points and making 42% or more of their 3-point shots, the Warriors are an amazing 75-0 SU and 58-14-3 for 81% winners. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Warriors.
06-04-17	Rockies -130 v. Padres	Top	3-1	Win	100	5 h 23 m	Show
7* graded play on Colorado (961) as they take on San Diego in MLB action set to start at (961) PM ET. SIM algorithm shows a high probability that Colorado will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 80-32 hitting 71.4% winners and has made 55.8 units/unit wagered since 1997. The system has also averaged a favorable +125 DOG wager. Play against NL home teams (SAN DIEGO) with a starting pitcher whose ERA is 3.70 to 4.20 on the season and after a game where the bullpen was rocked for 6 or more earned runs. The following game situations match the SIM projections and my compiled research for the outcome of this game. Colorado is a solid 18-9 (+10.6 Units) against the money line with a team slugging percentage .400 or worse on the season (NL) this season. Colorado is 20-10 (+12.1 Units) against the money line in road games this season. Colorado is 14-5 (+10.3 Units) against the money line after 3 or more consecutive road games this season. San Diego is just 10-29 (-16.2 Units) against the money line after having won 3 of their last 4 games over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Colorado.
06-04-17	Phoenix Mercury -1.5 v. New York Liberty	Top	72-88	Loss	-110	4 h 15 m	Show
7* graded play on Phoenix (609) as they take on new York in WNBA action set to start at PM ET. SIM algorithm shows a high probability that Phoenix will win this game by at least 4 points. Advanced and Predictive Analytics Discussion Points The following system has gone 64-30 ATS hitting 68% winners and has made 31 units/unit wagered since 1997. The system has also averaged an impressive . Play against home teams where the line is +3 to -3 (NEW YORK) after 2 straight games where both teams scored 70 points or more against opponent after scoring 75 points or more in 2 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. New York is just 4-12 ATS (-9.2 Units) in home games in up-tempo games where they attempt 64 or more shots over the last 2 seasons. NY is just 2-10 ATS (-9.0 Units) when they make 70% to 76% of their free throws in a game over the last 2 seasons. NY is just 3-11 ATS (-9.1 Units) in home games where both teams score 71 or more points in a game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Phoenix.
06-04-17	Braves +116 v. Reds	Top	13-8	Win	116	4 h 43 m	Show
7* graded play on the Atlanta Braves (951) as they take on Cincinnati in MLB action set to start at 1:10 PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Reds are just 10-29 (-19.7 Units) against the money line vs. a bad bullpen that blows 38% or more of their save opportunities over the last 2 seasons. Reds are 16-35 (-19.8 Units) against the money line vs. a starting pitcher who gives up 1 or more HR's/start over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Braves.
06-03-17	Minnesota Lynx v. Seattle Storm +3.5		100-77	Loss	-110	8 h 50 m	Show
7* graded play on Seattle (606) as they take on Minnesota in MLB action set to start at PM ET. SIM algorithm shows a high probability that will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 36-11 ATS hitting 76.6% winners and has made 23.9 units/unit wagered since 2012. Play on home underdogs of 3.5 to 9.5 points (SEATTLE) after a game where they covered the spread, well rested team playing 5 or less games in 14 days. The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is just 1-9 ATS (-8.9 Units) in road games when they allow 83 or more points in a game over the last 3 seasons. Seattle is 6-0 ATS (+6.0 Units) in home games when they grab 8 to 12 offensive rebounds in a game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Seattle in WNBA action.
06-03-17	White Sox +126 v. Tigers	Top	1-10	Loss	-100	4 h 43 m	Show
7* graded play on the Chicago White Sox (921) as they take on in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the CWS will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, THE CWS are today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 102-82 hitting 55.4% winners and has made 53.4 units/unit wagered since 2012. The system has also averaged an impressive +132.8. Play against AL home favorites with a money line of -125 to -175 (DETROIT) with a decent bullpen whose WHIP is 1.350 to 1.450 on the season and with a team batting average of .255 or worse on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the White Sox.
06-03-17	Indians -164 v. Royals	Top	5-12	Loss	-164	1 h 14 m	Show
7* graded play on Cleveland (919) as they take on in MLB action set to start at 2:15 PM ET. SIM algorithm shows a high probability that the Indians will win this game. Fundamental Matchups and Data Metrics We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 65-15 hitting 81.2% winners and has made 38.5 units/unit wagered since 1997.Plat against all underdogs with a money line of +150 or more (KANSAS CITY) that is a struggling AL offensive team scoring 3.6 runs/game against a team with a very good bullpen posting an ERA of less than 3.33) and is on a good fielding streak, 10 straight games with one or less errors. The following game situations match the SIM projections and my compiled research for the outcome of this game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Indians.
06-01-17	Cavs v. Warriors -7	Top	91-113	Win	100	83 h 13 m	Show
7* graded play on the Warriors (702) as they take on Cleveland in Game 1 of the NBA Finals set to start at 8:30 PM ET. SIM algorithm shows a high probability that the Warriors will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points Cleveland has shot in excess of 5% in three straight games. However, teams who have previously accomplished this feat and now find themselves on the road installed as 7 point dogs or more are just 1-5 SU and 1-5 ATS. Three of the losses were in excess of 10 points against the spread. That, by deduction, pushes the expected result for this game to at least 17 points. The Cavaliers are just 11-68 SU and 28-51 for 34% ATS winners when they have allowed opponents to shoot between 48 and 52% and were road dogs of 7 or more points. The SIM projects that the Warriors will score a minimum of 115 points. In past games, where Cleveland has allowed 115 or more points they are a money burning 24-114 ATS for 17% winners. And when installed in this role as a 7 or more points dog, they are a horrifying 7-40 ATS for just 15% winners. The warriors are an outstanding 108-4 and 75-31 ATS for 71% winners when they have scored more than 115 points and were installed as 7 or more point favorites. The SIM also projects that the Warriors will hit a minimum of 42% of their three-point shots. When scoring 115 points and making 42% or more of their 3-point shots, the Warriors are an amazing 75-0 SU and 58-14-3 for 81% winners. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cavaliers.
06-01-17	A's +1.5 v. Indians	Top	0-8	Loss	-110	5 h 13 m	Show
10* graded play on Oakland (907) using the Run Line as they take on Cleveland in AL MLB action set to start at 12:10 PM ET. SIM algorithm projects that the A’s will win this game. We nearly always look to create a combination wager that is optimized by using the money line and the Run Line. In this game, we like playing a 6.5* amount using the Run Line and a 3.5* amount using the money line. The Run Line is currently at -110 and the money line is about +200 to 220 at the majority of books. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Oakland is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has produced a 52-23 record hitting 69% winners and has made 27.9 units/unit wagered since 2012. The system has also averaged an impressive . Play on all underdogs using a 1.5 run line. (Money Line =+110 to +155) (OAKLAND) and is a below average hitting AL hitting team batting.260 or less and with a batting average of .240 or worse over their last 20 games. and is now facing a team with a good bullpen posting an ERA of 3.75 or less. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cleveland is just 10-28 against the run line (-18.6 Units) vs. an overused bullpen that pitches more than 3.2 innings per game this season. 7-21 against the run line (-14.8 Units) as a favorite when the run line price is +135 to -190 this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the A’s today and expect the upset.
05-29-17	Red Sox -172 v. White Sox	Top	4-5	Loss	-172	5 h 57 m	Show
7* graded play on Boston (965) as they take on the CWS in MLB action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Boston will win this game. Fundamental Matchups and Data Metrics Price is making his first start since having modest elbow stiffness. However, he did leave to go to the NFL combine to seek out the opinions of two elite orthopedic surgeons. He has had two rehab assignments that have not been good with an opposing scout stating he had poor command of all pitches and worked far too slowly. Here is what we expect from Price. In 2013, when Price was the reigning AL Cy Young Award winner, he missed six weeks in May and June with a left triceps strain, the only other time he was on the disabled list. He made only two minor league rehab starts then, too, reaching 70 pitches over five scoreless innings in his final tuneup. Upon returning to the Rays in early July, he went on an eight-start run in which he posted a 1.40 ERA with 44 strikeouts and only two walks in 64⅓ innings. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Price’s team record is 34-12 (+17.1 Units) against the money line in road games vs. teams whose hitters draw 3 walks or less/game. Boston had a 6-game winning streak snapped losing to Seattle 5-0. Teams, who have won 6 of their last 7 games and were shutout in the previous game and now find themselves installed as a -170 favorite have gone 6-0 SU since 2004.
05-28-17	Cubs v. Dodgers -161	Top	4-9	Win	100	8 h 20 m	Show
10* graded play on the Los Angeles Dodgers (912) as they take on the Chicago Cubs in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game. Box this play with Kershaw. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, we have a favorite reflecting the fact that not all of the releases are dogs; just a smaller percentage of total releases are favorites. Kershaw is a major reason why we are on the Dodgers for this specific game. He is pitching arguably better than any of his other incredible seasons. He has posted a 2.01 ERA with a 0.823 WHIP in 10 starts spanning 71 ⅔ innings of work with 72 Ks and just 8 BB. He has been even better in this two starts allowing just 1 ER, walking zero batters and recording 15 Ks. Lester is a very good pitcher in his own right and has had a great career. However, he has been struggling in road starts with a 5.72 ERA and a horrid 1.908 WHIP in 4 starts spanning just 22 innings of work. Advanced and Predictive Analytics Discussion Points The following system has gone 59-18 hitting 77% winners and has made 33.7 units/unit wagered since 2012. Play against road underdogs with a money line of +100 or higher (CHICAGO CUBS) with a slugging percentage of .480 or better over their last 10 games and facing an opponent starting a pitcher who walked 1 or fewer hitters each of his last 2 outings. Here is a second system that supports the Dodgers and has gone 223-77 for 74.3% winners and has made 85.9 units/unit wagered since 2012. Play on all NL favorites with a money line of -150 or more (LA DODGERS) with a starting pitcher whose ERA is 3.70 or better on the season and is now facing opponent with a starting pitcher that allows 0.5 or less HR's/start. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 37-11 (+22.7 Units) against the money line in home games vs. NL teams scoring 4.5 or more runs/game on the season over the last 3 seasons. Cubs are just 4-15 (-10.4 Units) against the money line as a road underdog of +100 or higher over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers with Kershaw on the hill.
05-28-17	Padres +162 v. Nationals	Top	5-3	Win	162	8 h 30 m	Show
7* graded play on San Diego (901) as they take on Washington in MLB action set to start at 1:35 PM ET. The SIM algorithm projection report shows a solid game score and grading to invest in the Padres this afternoon. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, San Diego is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 39-28 hitting 58.2% winners and has made 26 units/unit wagered since 2012. The system has also averaged an impressive 138 DOG play as well. Play against all NL favorites with a money line of -125 to -175 (WASHINGTON) with a starting pitcher that strikes out 5 or more batters per start, with a team slugging percentage of .430 or better on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the San Diego Padres.
05-27-17	Diamondbacks v. Brewers +125	Top	1-6	Win	125	6 h 50 m	Show
7* graded play on Milwaukee (956) as they take on Arizona in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Milwaukee is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 50-35 hitting 59% winners and has made 33.3 units/unit wagered since 2012. The system has also averaged an impressive 138 DOG play. Play against all fNL favorites with a money line of -110 or higher (ARIZONA) with a starting pitcher whose ERA is 3.70 or better on the season, with a team slugging percentage of .440 or better on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is a solid 27-14 (+20.6 Units) against the money line after having lost 5 or 6 of their last 7 games over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Milwaukee.
05-27-17	Padres +215 v. Nationals	Top	0-3	Loss	-100	8 h 52 m	Show
7* graded play on the San Diego Padres as they take on Washington in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Padres will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, The Padres are today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 37-31 hitting 54.4% winners and has made 44.1 units/unit wagered since . The system has also averaged an impressive 203 DOG Play. on road underdogs with a money line of +175 to +250 (SAN DIEGO) team with a terrible OBP less than 300 and with an overused bullpen that pitches more than 3.2 innings per game. against a very good NL starting pitcher posting a WHIP of 1.250 or less. Over the past three season, this system has produced a 22-21 record, BUT has made 25.6 units/unit wahered. This is a perfect dog playing example, that matches the ‘Black Jack’ methodology discussed above. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Padres.
05-22-17	Twins +123 v. Orioles	Top	14-7	Win	123	12 h 54 m	Show
7* graded play on Minnesota (909) as they take on Baltimore in MLB action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 86-47 hitting 65% winners and has made 37.7 units/unit wagered since 1997. Play against all teams when the money line is +125 to -125 (BALTIMORE) with a starting pitcher that gives up 1 or more HR's/start against opponent with a starting pitcher who is winless after 5 or more starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Twins are a solid 9-3 (+7.6 Units) against the money line in road games vs. an AL team with an on base percentage .320 or worse this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins.
05-21-17	Celtics v. Cavs -16.5	Top	111-108	Loss	-105	9 h 11 m	Show
7* graded play on Cleveland (504) as they take on Boston in Game 3 of the Eastern Conference Finals set to start at 8:30 PM ET. SIM algorithm shows a high probability that Cleveland will win this game by at least 17 points. Advanced and Predictive Analytics Discussion Points Not all that surprising to see the Cavaliers show up as a graded play by the SIM. Boston was humiliated by 46 points on their home court and now have to travel to Cleveland and play in a fan frenzied environment without Thomas. Cleveland shot 56.5% and Boston shot a horrid 37.2% in Game 2. Teams in playoff games that shot 55% or better and allowed 37.5% or less and covered the previous game by 20 or more points are an amazing 5-1 ATS. Date Team Opp Site Final Line Total SU margin ATS margin SU result ATS result OU Result May 21, 2017 Cavaliers Celtics home -16.5 214.5 May 20, 2017 Warriors Spurs away 120-108 -8.5 214 12 3.5 W W O May 10, 2013 Heat Bulls away 104-94 -8 187.5 10 2 W W O May 24, 2012 Heat Pacers away 105-93 -3 181 12 9 W W O Apr 29, 2009 Nuggets Pelicans home 107-86 -10.5 197.5 21 10.5 W W U May 03, 2005 Celtics Pacers home 85-90 -4.5 183.5 -5 -9.5 L L U April 24, 2003 Timberwolves Lakers away 114-110 10 201 4 14 W W O The highlighted game is the only one that possessed a double digit line and the results mirror what we expect from tonight’s contest. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cavaliers.
05-21-17	Brewers +181 v. Cubs	Top	6-13	Loss	-100	6 h 24 m	Show
7* graded play on Milwaukee (961) as they take on the Chicago Cubs in MLB NL action set to start at 2:30 PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Milwaukee is that +140 DOG and if we would play all of thee +140 dogs and hit 62% of them over the course of the season, our cash balances would climb significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points Milwaukee and Chicago had their Saturday date to play baseball postponed. On Friday, Milwaukee left a shocking 26 players on base in their win over the Cubs. So, these away dogs, who won their previous and had at least 18 men LOB are a solid investment in their next game producing a very nice 22.0% ROI. They have gone 18-15 for 54.5% and have made 7.52 units/unit wagered averaging a +127 Dog wager. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Milwaukee.
05-21-17	Nationals -169 v. Braves	Top	3-2	Win	100	3 h 24 m	Show
7* graded play on Washington (951) as they take on Atlanta in MLB action set to start at 1:35 PM ET. SIM algorithm shows a high probability that Washington will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared to a 62% probability aligned with a +140 DOG. In this game today, Washington is a -165 favorite currently and has a better than 85% probability of winning today’s game. So, don’t focus on the probability alone as it must be combined with the line to get the full meaning and strength of the play. Over the course of the season, it can be expected, but not guaranteed to see a steady flow of profits from following the SIM Algorithm discipline. Advanced and Predictive Analytics Discussion Points The Braves have been on a strong winning run of late. They have won five of the last 6 games and 7 of the past 11 games. Playing against these hot teams that have won 7 or more of the last 11 games and are now installed as a 135 Dog or higher are 10-24 SU for 29.4% winners in 2017. This equates to a negative 25% ROI. If we add to the query that the dog is on the road, they have produced an even worse 8-21 record for 27.6% winners and a negative 29% ROI. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Nationals.
05-20-17	Warriors -6.5 v. Spurs	Top	120-108	Win	100	12 h 34 m	Show
10* graded play on the Golden State Warriors (723) as they take on San Antonio in Game 3 of the Western Conference Finals set to start at 9:00 PM ET. SIM algorithm shows a high probability that the Warriors will will win this game by least 7 points.. Fundamental Matchups and Data Metrics A quick query of the database revealed some amazing attributes supporting the Warriors. They have been installed as 6 point road favorites in playoff games four times since 2000 and all of the have occurred since the 2015 season. They are 4-0 ATS and SU and 3-1 ‘over’ in these games. The average margin against the spread has been a whopping 14 points! Date Season Team Opp Site Final Line Total SU margin ATS margin Apr 25, 2015 2014 Warriors Pelicans away 109-98 -7 206.5 11 4 Apr 24, 2016 2015 Warriors Rockets away 121-94 -8.5 217.5 27 18.5 Apr 24, 2017 2016 Warriors Trailblazers away 128-103 -8.5 222 25 16.5 May 8, 2017 2016 Warriors Jazz away 121-95 -8.5 206.5 26 17.5 Advanced and Predictive Analytics Discussion Points The following system has gone hitting winners and has made units/unit wagered since . The system has also averaged an impressive . The following game situations match the SIM projections and my compiled research for the outcome of this game. Warriors are 44-21 ATS (+20.9 Units) when they make 39% to 45% of their three point attempts in a game over the last 3 seasons. Spurs are just 90-191 ATS (-120.1 Units) when their opponents make 48% to 51% of their shots in a game. Spurs are 87-165 ATS (-94.5 Units) when they allow 100 to 105 points in a game. Sours are 78-162 SU and 50-183-7 ATS when allowing an opponent more than 105 points since 2014. Spurs are 0-10 SU, 1-9 ATS, and 8-2 ‘over’ when at home installed as a 3 point or more dog and allowing more than 105 points since 2014. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Warriors.
05-19-17	Brewers +149 v. Cubs	Top	6-3	Win	149	7 h 45 m	Show
7* graded play on the Milwaukee Brewers (951) as they take on the Chicago Cubs in MLB action set to start at 2:20 PM ET. The SIM algorithm projects that Milwaukee has a solid opportunity to win the game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Milwaukee is that +140 DOG and if we would play all of thee +140 dogs and hit 62% of them over the course of the season, our cash balances would climb significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is a solid 15-7 (+11.2 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Milwaukee Brewers.
05-18-17	Red Sox +100 v. A's	Top	3-8	Loss	-100	15 h 53 m	Show
7* graded play on the Boston Red Sox (913) as they take on the Oakland A’s in MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that Boston will win this game. Fundamental Matchups and Data Metrics The Red Sox did something they have only done one other time since 2004 last night in St. Louis. They rallied from 4 runs down through 6 innings to win in extra innings. These are emotional wins and can carry over the next game. In fact, teams that have accomplished the feat, have produced a solid 15.4% ROI by playing on them in the next game. Advanced and Predictive Analytics Discussion Points The following system has gone 67-30 hitting 69% winners and has made 36 units/unit wagered since 2012. Play on home teams (OAKLAND) that is a struggling team, outscored by opponents by 1 or more runs/game on the season, playing the first game of a series. The following game situations match the SIM projections and my compiled research for the outcome of this game. FARRELL is 49-35 (+18.1 Units) against the money line in road games vs. good power teams - averaging 1.25 or more HR's/game as the manager of BOSTON. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Red Sox tonight.
05-16-17	Braves +139 v. Blue Jays	Top	9-5	Win	139	9 h 38 m	Show
7* graded play on Atlanta (921) as they take on Toronto in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that Atlanta will win this game. Fundamental Matchups and Data Metrics Atlanta won Game 1 of this series with a solid 10-6 win over the Blue Jays. The Braves also left a very high 18 men on base with Jace Peterson accounting for 5 of those runners stranded. Adding the other parameters for this game this afternoon sees the Braves in a solid situation producing a 33% ROI. So, when the Braves win the previous road game installed as a DOG and now playing the same team and had left 18 or more runners on base, they are 12-10 making 7.54 units/unit wagered averaging a 137 DOG play since 2014. Date Day Site Team Starter Opp Starter Final SU W/L O/U Line May 16, 2017 Tue away Braves Jaime Garcia - L Blue Jays Marco Estrada - R 152 May 13, 2017 Sat away Braves Julio Teheran - R Marlins Edinson Volquez - R 3-1 2 W U 113 Apr 27, 2017 Thu away Braves RA Dickey - R Mets Matt Harvey - R 7-5 2 W O 160 Apr 06, 2017 Thu away Braves Jaime Garcia - L Mets Matt Harvey - R 2-6 -4 L O 145 Sep 24, 2016 Sat away Braves Aaron Blair - R Marlins Wei Yin Chen - L 4-6 -2 L O 165 Sep 21, 2016 Wed away Braves Ryan Weber - R Mets Bartolo Colon - R 4-3 1 W U 170 Sep 20, 2016 Tue away Braves Julio Teheran - R Mets Robert Gsellman - R 5-4 1 W O 108 Sep 04, 2016 Sun away Braves Julio Teheran - R Phillies Jake Thompson - R 2-0 2 W U -160 Aug 24, 2016 Wed away Braves Julio Teheran - R Diamondbacks Zack Greinke - R 9-10 -1 L O 120 Aug 07, 2016 Sun away Braves Mike Foltynewicz - R Cardinals Adam Wainwright - R 6-3 3 W O 190 Jul 09, 2016 Sat away Braves Julio Teheran - R White Sox Jose Quintana - L 4-5 -1 L O 170 Jun 18, 2016 Sat away Braves Aaron Blair - R Mets Steven Matz - L 4-3 1 W U 240 Jul 07, 2015 Tue away Braves Manuel Banuelos - L Brewers Tyler Cravy - R 4-3 1 W U 150 Jun 14, 2015 Sun away Braves Mike Foltynewicz - R Mets Dillon Gee - R 8-10 -2 L O 115 May 31, 2015 Sun away Braves Julio Teheran - R Giants Madison Bumgarner - L 7-5 2 W O 180 May 17, 2015 Sun away Braves Shelby Miller - R Marlins Henderson Alvarez - R 6-0 6 W U 113 May 16, 2015 Sat away Braves Alex Wood - L Marlins Mat Latos - R 5-3 2 W O 115 May 12, 2015 Tue away Braves Mike Foltynewicz - R Reds Anthony DeSclafani - R 3-4 -1 L U 130 Apr 18, 2015 Sat away Braves Alex Wood - L Blue Jays RA Dickey - R 5-6 -1 L O 160 Jun 21, 2014 Sat away Braves Julio Teheran - R Nationals Doug Fister - R 0-3 -3 L U 110 Jun 20, 2014 Fri away Braves Mike Minor - L Nationals Stephen Strasburg - R 6-4 2 W O 150 Apr 17, 2014 Thu away Braves Alex Wood - L Phillies AJ Burnett - R 0-1 -1 L U -130 Apr 06, 2014 Sun away Braves Alex Wood - L Nationals Taylor Jordan - R 1-2 -1 L U -105 Advanced and Predictive Analytics Discussion Points The following system has gone 26-15 hitting 65% winners and has made 25.7 units/unit wagered since 1997. The system has also averaged an impressive . Play on all underdogs with a money line of +125 to +175 (ATLANTA) that is an average NL offensive team scoring between 4.0 to 4.5 runs/game and is now facing a good AL starter posting an ERA
05-14-17	Spurs v. Warriors UNDER 212	Top	111-113	Loss	-110	8 h 28 m	Show
7* graded play ‘UNDER’ in Game -1 of the Western Conference Finals between the Warriors and Spurs.SIM algorithm shows a high probability that fewer than 210 points will be scored in this game. Fundamental Matchups and Data Metrics Spurs destroyed Houston in Game 6 and held them to just 29% shooting while they shot freely hitting 53.1% of their shots. NBA playoff games following a performance like that one have produced a 9-3 ‘UNDER’ result and 8-4 ATS record. Day Season Team Opp Site Final Line Total OU - Margin SU ATSr OUr Mon 2003 Spurs Grizzlies home 87-70 -10 173.5 -16.5 W W U Thu 2003 Nets Knicks away 81-78 -4 180 -21 W L U Tue 2003 Lakers Spurs home 98-90 -4.5 179.5 8.5 W W O Tue 2004 Celtics Pacers home 85-90 -4.5 183.5 -8.5 L L U Thu 2005 Heat Mavericks away 80-90 5 183 -13 L L U Sat 2007 Pistons Magic home 91-72 -6.5 188.5 -25.5 W W U Sun 2007 Lakers Spurs away 84-103 5 192 -5 L L U Wed 2008 Nuggets Pelicans home 107-86 -10.5 197.5 -4.5 W W U Sat 2008 Cavaliers Hawks away 97-82 -9.5 181 -2 W W U Sat 2011 Spurs Jazz away 102-90 -6 202 -10 W W U Thu 2011 Heat Pacers away 105-93 -3 181 17 W W O Sun 2015 Warriors Trailblazers home 118-106 -9.5 210 14 W W O Advanced and Predictive Analytics Discussion Points The following system has gone 32-8 ‘OVER’ hitting 80% winners and has made 32.2 units/unit wagered since 2012. Play Under with all teams where the total is greater than or equal to 200 (SAN ANTONIO) in a game involving 2 very good teams outscoring opponents by 7 or more PPG in the 2nd half of the season and NBA playoffs. The following game situations match the SIM projections and my compiled research for the outcome of this game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’.
05-14-17	Philadelphia Phillies - Game #1 v. Washington Nationals - Game #1 OVER 8.5	Top	4-3	Loss	-100	7 h 52 m	Show
7* graded play ‘OVER’ in the Phillies-Nationals (903 and 904) game set to start at as they take on in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that more than 8 runs will be scored in this game. Fundamental Matchups and Data Metrics Phillies were our ‘Upset Alert’ Titran Saturday.The Phillies raced out to a 4-0 lead, but then the Nationals came back in the fifth with a four-spot with all 4 runs coming with two outs. The Nationals simply have a very good offense that has no significant weakness throughout it. The Philies are 22-10 ‘OVER’ after a road game where they blew a 4 run lead after the fourth inning since 2014. That record equates to a very strong 30.1% ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Washington is a near-perfect 9-1 OVER (+7.8 Units) vs. a starting pitcher whose strikes out 3 or less batters per start over the last 2 seasons. Philadelphia is 11-3 OVER (+8.0 Units) vs. teams outscoring opp by 0.5 or more runs/game on the season this season. Philadelphia is a solid 25-10 OVER (+15.0 Units) as a road underdog of +150 to +200 over the last 2 seasons. 7-2 ‘OVER’ in 2017. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’.
05-13-17	Phillies +170 v. Nationals	Top	4-6	Loss	-100	7 h 42 m	Show
7* graded play on the Phillies (953) as they take on Washington in MLB action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Philadelphia can win this game. Fundamental Matchups and Data Metrics Phillies allowed 21 runs in their last two games at Seattle and due to a rainout have not played in three days. That rest is very critical to refreshing the bullpen and the overall team too. Since 2004, the Phillies are 29-18 making 13.91 units/unit wagered with average line of +118 after allowing 8 or more runs in two straight games. That translates to a very strong +25.7 ROI. Even better is when they have allowed 10 or more runs in two straight games. In that role, which matches today’s game, they are an incredible 9-1 with an average line of +125 and has made 10.17 units for a remarkable 95.5% ROI since 2004. Advanced and Predictive Analytics Discussion Points The following system has gone 35-17 hitting 67% winners and has made 31.7 units/unit wagered since 2012 . Play against NL home favorites with a money line of -110 or higher (WASHINGTON) with a starting pitcher whose ERA is 3.70 or better on the season, with a team slugging percentage of .440 or better on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Phillies.
05-13-17	Cubs -101 v. Cardinals	Top	3-5	Loss	-101	4 h 29 m	Show
7* graded play on the Cubs (957) as they take on St. Louis in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that the Cubs will win this game. Fundamental Matchups and Data Metrics Cubs bullpen is the big difference between these two teams. The Cubs bullpen sports a 2.18 ERA with a 1.144 WHIP in 19 road games spanning 57 ⅔ innings of work. Cards bullpen has been largely inconsistent and have posted a 4.36 ERA and a 1.455 WHIP in 18 home games spanning 55 ⅔ innings of work. Lester will get through 6 innings and then turn it over to the pen to secure the win. Advanced and Predictive Analytics Discussion Points The following system has gone 31-12 hitting 72% winners and has made 20.5 units/unit wagered since 2012. The system has also averaged a +105 DOG play. Play on road teams when the money line is +125 to -125 (CHICAGO CUBS) that are below average hitting teams batting 0.255 or lower, but has an excellent bullpen whose ERA is 3.00 or better on the season and is now facing a decent starting NL pitcher sporting an ERA between 3.70 to 4.20, The following game situations match the SIM projections and my compiled research for the outcome of this game. Cardinals are just 6-18 (-15.9 Units) against the money line in home games vs. a team with a good bullpen whose ERA is 3.45 or better over the last 2 seasons. Cardinals are 5-18 (-16.6 Units) against the money line in home games vs. a team with a very good bullpen whose WHIP is 1.250 or better over the last 2 seasons. Cardinals are 8-15 (-13.2 Units) against the money line in home games against left-handed starters over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
05-12-17	Celtics v. Wizards OVER 216	Top	91-92	Loss	-106	12 h 34 m	Show
10* graded play ‘OVER’ in Game-6 of the Eastern Conference SemiFinals between Washington and Boston (711) set to start at 8:00 PM ET. SIM algorithm shows a high probability that more than 216 points will be scored in this game. The SIM has also produced a 7* play on Washington. So, with these two strong opportunities we are recommending a 5* parlay consisting of Washington and the ‘OVER’ Fundamental Matchups and Data Metrics Washington shot poorly and played poor defense in Game 5. In past games dating back to 2009 they are 9-0 ‘OVER’ and 6-2 ATS after a game where they shot less than 39% and allowed their opponent to hit better than 52% of their shots. When looking at All Teams and in a playoff game, the ‘over’ is a perfect 11-0 and sides 7-4 ATS since 2009. Advanced and Predictive Analytics Discussion Points The following system has gone 92-44 ‘OVER’ hitting 68% winners and has made 43.6 units/unit wagered since 1996. Play ‘Over’ with all teams where the total is greater than or equal to 210 (WASHINGTON) in the second round of the playoffs. The following game situations match the SIM projections and my compiled research for the outcome of this game. Boston is 15-7 OVER (+7.3 Units) when they allow 106 to 111 points in a game this season. Boston is 28-6 OVER (+21.4 Units) where both teams score 105 or more points in a game this season. Washington is 18-9 OVER (+8.1 Units) when they make 78% to 83% of their free throws in a game this season. Washington is 18-4 OVER (+13.6 Units) when they allow 106 to 111 points in a game this season. Washington is 40-2 OVER (+37.8 Units) where both teams score 105 or more points in a game this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’
05-10-17	Mariners -1.5 v. Phillies	Top	11-6	Win	145	5 h 12 m	Show
7* graded play on the Seattle Mariners (917) using the Run Line as they take on the Philadelphia Phillies in MLB action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Seattle will win this game by 2 or more runs. The current Run Line is at Seattle -1 ½ +140 and the money line is at essentially pick-em. Make certain you always use the - 1 ½ line as it will equate to a dog line (+140 in this case) and offer a much better return. So, an alternative wager is to combine money line and run line by wagering a 2.5* play using the line and a 4.5* play using the Run Line. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points Phillies had a 5-run lead and ended up losing the game at home last night to the Mariners. Teams that have replicated that type of disappointing loss are 58-6 with a 7.4% ROI and 40-56 with a 10.4% ROI using the Run Line. Applying the team filter, shows that the Phillies are 0-3 SU and 1-2 Run Line (playing the same opponent) after game blowing a 5-run or more lead and losing at home since 2004. Small dataset, but meaningful. The following game situations match the SIM projections and my compiled research for the outcome of this game. Seattle is 17-9 (+14.7 Units) against the money line in road games vs. an NL starting pitcher whose WHIP is 1.150 or better. Phillies are just 5-20 (-15.4 Units) against the money line in home games after having lost 6 or 7 of their last 8 games over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mariners using the Run Line or by using the combination wager outlined above. Ryan’s Run Line SIM Algorithm Titan John Ryan's proven algorithm has identified a High-Powered winner in today’s MLB card
05-08-17	Nationals v. Orioles +103	Top	4-6	Win	103	12 h 50 m	Show
7* graded play on Baltimore (916) as they take on Washington in MLB action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Baltimore will win this game. Fundamental Matchups and Data Metrics Baltimore and Washington are two of the best teams so far 2017. Baltimore is in a virtual tie with the surprising NY Yankees in the AL East while Washington is well under way to win the NL East with a 6 ½ game lead over the injury-riddled Mets. Washington had struggled to score runs for their starting pitchers in years passed, but that is certainly not the case this season. Washington ranks best scoring 6.46 RPG, best averaging 17.42 total bases per game, and best with a +53 run differential. Baltimore can’t match those offensive numbers, but they offset it partially with solid defense that has turned many DP when the opponent has players in scoring position. Baltimore’s bullpen is one of the nest in the Majors sporting a 2.38 ERA with a 1.321 WHIP and 41Ks in 13 home games spanning 53 innings pitched. This will be critical knowing their starter tonight, Gausmann, has struggled so far in his 7 starts. Washington has a horrid bullpen that has been masked by the explosive offense. They rank as one of the worst with a 6.50 ERA and 1.399 WHIP in 15 road games spanning 44 ⅓ innings of work. Advanced and Predictive Analytics Discussion Points The following system has gone 29-9 hitting 76.3% winners and has made 20 units/unit wagered since 2012. Play against any team (WASHINGTON) starting a pitcher who walked 5 or more hitters last outing, hot hitting team batting .290 or better over their last 15 games. Washington is coming off an extra inning loss at Philadelphia where they did blow a 3-run lead. Since 2004, the Nationals, are just 5-16 losing 10.77 units/unit wagered following a game where they blew a 3-run lead and lost in extra innings. Since 2012, they are 1-5 in this situation. The following game situations match the SIM projections and my compiled research for the outcome of this game. Washington starter Gio Gonzalez’ team record is just 1-8 (-9.8 Units) against the money line on the road when the total is 8.5 to 10 over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Baltimore Orioles.
05-07-17	Giants -1.5 v. Reds	Top	0-4	Loss	-100	4 h 13 m	Show
10* graded play on San Francisco (961) using the Run Line as they take on Cincinnati in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that will win this game by at least 2 runs. Advanced and Predictive Analytics Discussion Points The following system has gone 32-8 hitting 80% winners and has made 24.3 units/unit wagered since 2012. Play on all NL teams against a run line. (+1.5, -130) to (-1.5, +160) (SAN FRANCISCO) with a team slugging percentage .390 or worse on the season after allowing 8 runs or more 2 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cueto’s team record in his starts are 13-4 against the run line (+10.5 Units) vs. NL teams scoring 4.5 or more runs/game on the season over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Giants using the Run Line.
05-07-17	Marlins +105 v. Mets		7-0	Win	105	1 h 9 m	Show
7* graded play on the Miami Marlins (951) as they take on the the NY Mets in MLB action set to start at 1:10 PM ET. SIM algorithm shows a high probability that the Marlins will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 27-14 hitting 65.9% winners and has made 23.2 units/unit wagered since 1997. Play against home favorites with a money line of -110 or higher (NY METS) that are poor fielding team averaging 0.75+ errors/game on the season, after scoring 7 runs or more 4 straight games. The situations record is 3-1 this season. Here is a second system that has gone 35-14 good for 71.4% winners and has made 22.2 units/unit wagered since 1997. Play against NL home teams (NY METS) allowing 5.0 or more runs/game on the season, after scoring 6 runs or more 5 straight games. This is the first time this situation has been qualified for the 2017 season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Mets are 36-22 (+18.6 Units) against the money line when facing NL teams scoring 4.5 or more runs/game on the season over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Marlins.
05-06-17	Diamondbacks +120 v. Rockies	Top	1-9	Loss	-100	10 h 7 m	Show
7* graded play on Arizona (911) as they take on Colorado in MLB action set to start at PM ET. SIM algorithm shows a high probability that Arizona will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone hitting winners and has made units/unit wagered since . The system has also averaged an impressive . The following game situations match the SIM projections and my compiled research for the outcome of this game. Colorado is just 33-48 (-22.1 Units) against the money line vs. a team with a poor bullpen whose ERA is 4.20 or worse over the last 2 seasons. Arizona is 27-18 (+15.7 Units) against the money line in road games after 2 straight games where they committed no errors over the last 3 seasons. Arizona is 20-11 (+11.0 Units) against the money line when the total is 10 or higher over the last 2 seasons. Corbin’s team record is an outstanding 15-7 (+11.9 Units) against the money line in road games in the first half of the season since 1997. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Arizona. In 6 starts, Corbin has posted a strong 2.55 ERA and a 1.302 WHIP and over his last three starts his ERA is 2.33 with a WHIP of 0.980. Even in Colorado, we expect him to post another strong quality start and get the win.
05-05-17	Nationals -155 v. Phillies		4-2	Win	100	2 h 2 m	Show
7* graded play on Washington as they take on Philadelphia in MLB action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Washington will win this game by more than 2 runs. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case, the optimal combination is to wager a 5.5* play on the run line and a 1.5* play using the money line. Advanced and Predictive Analytics Discussion Points The following system has gone 76-32 hitting 70.4% winners and has made 42.4 units/unit wagered since 2012. Play against road teams (WASHINGTON) hot hitting team batting .280 or better over their last 20 games, with a hot starting pitcher with a WHIP
05-04-17	Jazz v. Warriors -12.5	Top	104-115	Loss	-110	16 h 3 m	Show
7* graded play on the Golden State Warriors (508) as they take on the Utah Jazz in Game-2 of the Western Conference semifinals set to start at 10:30 PM ET. SIM algorithm shows a high probability that the Warriors will win this game by at least 16 points. Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 ATS hitting 75% winners and has made 19 units/unit wagered since 2012. 19-10 ATS (+8.0 Units) in games where they commit 12 or fewer turnovers this season. Golden State is 19-10 ATS (+8.0 Units) in games where they commit 12 or fewer turnovers this season. Utah is an imperfect
05-04-17	Brewers v. Cardinals UNDER 7.5	Top	5-4	Loss	-100	11 h 20 m	Show
10* graded play on the ‘UNDER” in the St. Louis – Milwaukee matchup in MLB action set to start at 7:15 PM ET. SIM algorithm shows a high probability that fewer than 7 runs will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. STL starter Wainwright has really struggled so far this year with a horrid 6.12 ERA and a 1.840 WHIP in 5 starts spanning just 25 IP. Proven veteran starters, like Wainwright, have the capability of fixing things and getting back on track quickly. That’s one of the reasons they have become a certain in the first place. Starters with an ERA over 6.00, pitching at home, with a line -140 or higher, and with the team havig gone ‘over’ in 9 of the last 10 games have seen the ‘UNDER’ wager win with a 46-20 record and a solid 12.5% ROI. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’. Tis play is the highest and strongest possible gradig from the SIM Algorithm. It does NOT mean that this is a ‘Lock’ to win. To be successful utilizing our methods and strategies, it is imperative to exercise discipline on a day-to-day basis and resist the inherent temptation to wager more than required. These plays win at 70% and higher over the course of a calendar year in All Sports. It also means that these plays lose at a 30% rate. So, if you take the long-term vision of a 12-month horizon and wager with disciplined amounts you will have a great opportunity to show a significant profit.
05-04-17	Pirates v. Reds +107	Top	2-4	Win	107	6 h 21 m	Show
7* graded play on Cincinnati (902) as they take on Pittsburgh in MLB action set to start at 12:35 PM ET. SIM algorithm shows a high probability that Cincinnati will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. 50-51 (-23.6 Units) against the money line as a favorite of -110 or higher over the last 2 seasons. Pittsburgh is
05-03-17	Mets v. Braves +140	Top	16-5	Loss	-100	13 h 57 m	Show
7* graded play on the Atlanta Braves (956) as they take on the NY Mets in MLB action set to start at 7:10 PM ET. We had the Braves yesterday in their high scoring win over the Mets. This was a 9-3 game till the Mets scored 4 in the top of the 9th to make it look far closer than it really was. We write about Matt Harvey and his loss of control and velocity and it showed up even more last night. He has allowed 6 ER in 2 straight starts, which he has never had occur in his career. We are sports fans here at John Ryan Sports and we truly hope there is not an underlying injury with Harvey and the Mets can ill afford another loss to the starting rotation that showed so much promise in Spring Training. SIM algorithm shows a high probability in excess of 80% that Atlanta will win this game. The projections also show a poor performance late in the game by the Mets bullpen. That unit has been terrible to say the least as they have posted a lofty 6.09 ERA and a 1.714 WHIP in 11 road games spanning 44 1/3 innings of work. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Mets are just