Date | Match Up | Rating | Score | Result | Profit | Lead Time | Analysis |
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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. |
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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. |
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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. |
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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. |
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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. |
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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.
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.
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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. |
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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.
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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.
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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. |
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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.
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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. |
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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 |
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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’. |
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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’. |
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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. |
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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. |
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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’ |
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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 |
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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. |
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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. |
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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. |
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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. |
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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 |
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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 |
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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. |
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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 |
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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 |
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05-02-17 | Mets v. Braves +105 | Top | 7-9 | Win | 105 | 13 h 7 m | Show |
7* graded play on Atlanta (902) as they take on the NY Mets in MLB action set to start at 7:35 PM ET. SIM algorithm shows a high probability that Atlanta will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 126-50 hitting 71.6% winners and has made 57.4 units/unit wagered since 1997. 6-13 (-12.4 Units) against the money line as a favorite of -110 or higher this season. Harvey’s team reord is |
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05-01-17 | Rangers +188 v. Astros | Top | 2-6 | Loss | -100 | 13 h 36 m | Show |
7* graded play on Texas (967) as they take on Houston in MLB action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Texas will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 hitting 75% winners and has made units/unit wagered since 2012. The system has also averaged an impressive +112 DOG considering it wins 75% of the time. Play on road underdogs in May with a money line of +150 or more (TEXAS) and is a below average AL hitting team batting 265 or worse against 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. 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 Rangers tonight. |
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05-01-17 | Capitals v. Penguins -120 | Top | 3-2 | Loss | -120 | 12 h 21 m | Show |
7* graded play on Pittsburgh (14) as they take on Washington in Game 3 of their best-of-seven Eastern Conference Semifinals set to start at 7:30 PM ET. SIM algorithm shows a high probability that Pittsburgh will win this match. Advanced and Predictive Analytics Discussion Points The following system has gone 98-37 hitting 73% winners and has made 45.7 units/unit wagered since 1996. 21-3 against the money line (+16.5 Units) in home games against good starting goalies saving >= 91.5% of shots against this season. 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 Penguins. |
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04-30-17 | Phillies v. Dodgers -188 | Top | 3-5 | Win | 100 | 6 h 21 m | Show |
7* graded play on the LA Dodgers (912) as they take on Philadelphia Phillies in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that LA will win this game and complete the sweep. Advanced and Predictive Analytics Discussion Points The following system has gone 162-52 hitting 76% winners and has made 68 units/unit wagered since 2012. |
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04-30-17 | Jazz v. Clippers -3.5 | Top | 104-91 | Loss | -105 | 7 h 35 m | Show |
7* graded play on the Clippers (722) as they take on Jazz in NBA action set to start at 3:30 PM ET, Sunday, April 30. SIM algorithm shows a high probability that the Clippers will win this game by more than 4 points. Advanced and Predictive Analytics Discussion Points Somehow, the Clippers have staged Game-7 without having Blake Griffin. They obviously have adjusted and Chris Paul is playing with the heart of a Champion. Utah fids themselves not shooting well at all in their last 2 games. Teams in the playoffs that have shot less than 43.5% in 2 straight games and now go onto the road after having lost at home are 22-31 ATS since 2003. In 2017, this set of conditions is 2-0 ATS and 6-2 ATS over the L2 playoff seasons. On April 16, the Thunder were crushed by the Rockets 118-87 installed as 7 point dogs. On April 26, the Bulls lost in Boston 108-97 installed as 8 point dogs. The following game situations match the SIM projections and my compiled research for the outcome of this game. Utah is a near-imperfect 5-14 ATS (-10.4 Units) when they allow 100 to 105 points in a game this season. Utah is 17-31 ATS (-17.1 Units) as a road underdog 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 Clippers and see them advance to the next round with this Game-7 win. |
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04-29-17 | Rangers v. Senators +115 | Top | 5-6 | Win | 115 | 4 h 30 m | Show |
7* graded play on Ottawa (56) as they take on the NY Rangers in game 2 of their best-of-seven Eastern Conference Semifinal set to start at 3:00 PM ET. SIM algorithm shows a high probability that Ottawa 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. Ottawa is 13-7 against the money line (+10.7 Units) against good teams - outscoring their opponents by 0.3+ goals/game this season. Ottawa is 29-25 against the money line (+13.6 Units) as an underdog this season. 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 Senators. |
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04-29-17 | Orioles v. Yankees -1.5 | Top | 4-12 | Win | 120 | 6 h 0 m | Show |
10* graded play on the NY Yankees (966) as they take on the Baltimore Orioles using the Run Line in AL East action set to start at 1:05 PM ET. SIM algorithm shows a high probability that the Yankees will win this game. We also like using an alternative combination ager consisting of a 3.5* play using the money line and a 6.5* play using the Run Line. The current RL is – 1 ½ +115, so this offers an optimized ROI when combined with the 3.5* play using the money 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. Yankees are 20-9 against the run line (+14.1 Units) in home games vs. a starting pitcher whose lasts less than 5 innings per start as the manager of NY Yankees. So, teams that scored 4 or more runs against the bullpen than the starter are 59-52 against the Run Line making 30.54 units/unit wagered ($3,054 per $100 wager) since 2012. The play has averaged a +140 Run Line and that alone is why this situation is credible and proven money maker. 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 Yankees. |
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04-29-17 | Rays +112 v. Blue Jays | Top | 1-4 | Loss | -100 | 4 h 9 m | Show |
7* graded play on Tampa Bay (967) as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that the Rays will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 79-52 hitting 60.3% winners and has made 52.8 units/unit wagered since 2012. The system has also averaged an impressive +133 dog play, which also matches the current lines we are seeing this morning. 3-10 (-10.6 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Toronto is 4-13 (-12.8 Units) against the money line when the money line is -100 to -150 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 Rays. |
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04-28-17 | Clippers +5.5 v. Jazz | Top | 98-93 | Win | 100 | 39 h 25 m | Show |
7* graded play on the Clippers (507) as they take on Jazz in NBA action set to start at 10:35 PM ET, Friday, April 28. SIM algorithm shows a high probability that the Clippers will lose this game by fewer than 4 points and has a great shot at getting the elimination game win and sending the series back to LA for the deciding game-7. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 146-176 hitting 45% winners and has made 63.7 units/unit wagered since 2012. The system has also averaged an impressive +164 DOG play as well. These systems are simply the most powerful money generators. When dealing with the money line, win percentage means essentially zero and units won means essentially almost everything. The following game situations match the SIM projections and my compiled research for the outcome of this game. Clippers are 10-24 against the money line (-22.6 Units) when they allow 100 to 105 points in a game 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 Clippers Friday night. |
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04-27-17 | Yankees v. Red Sox -170 | Top | 3-0 | Loss | -170 | 12 h 41 m | Show |
7* graded play on Boston (966) as they take on the NY Yankees in AL East action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Boston will win this game. 41-8 Advanced and Predictive Analytics Discussion Points The following system has gone 41-8 hitting 83.7% winners and has made 27.7 units/unit wagered since 2012. 13-31 (-16.6 Units) against the money line in road games against division opponents 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 Red Sox tonight. |
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04-27-17 | Raptors v. Bucks -1.5 | Top | 92-89 | Loss | -110 | 12 h 50 m | Show |
7* graded play on Milwaukee (502) as they take on Toronto in NBA action set to start at 7:00 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game by at least 5 points and will cover the spread easily. Advanced and Predictive Analytics Discussion Points The following system has gone 54-21 hitting 72% winners and has made 25.9 units/unit wagered since 1996. Play against r14-5 ATS (+8.5 Units) in home games when their opponents make 43% to 47% of their shots in a game this season. Milwaukee is 43-26 ATS (+14.4 Units) where both teams score 99 or less points in a game over the last 3 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 |
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04-25-17 | Grizzlies +10 v. Spurs | Top | 103-116 | Loss | -105 | 13 h 16 m | Show |
7* graded play on Memphis (703) as they take on San Antonio in NBA playoff action set to start at 9:00 PM ET. SIM algorithm shows a high probability that Memphis will lose this game by fewer than 8 points and has a shot at getting the key Game-5 win. will win this game. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 144-50 hitting 74% winners and has made 58.4 units/unit wagered since 2012. Play against any team using the money line (SAN ANTONIO) revenging 2 straight losses where opponent scored 100 or more points, off a loss against a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. Memphis is a solid 16-7 ATS (+8.3 Units) as an underdog of 3.5 to 9.5 points this season. 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 Memphis and expect the upset win. |
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04-25-17 | Reds +111 v. Brewers | Top | 1-9 | Loss | -100 | 12 h 13 m | Show |
7* graded play on the Reds (903) as they take on Milwaukee in MLB action set to start at 7:40 PM ET. SIM algorithm shows a high probability that the Reds 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. Milwaukee is just 10-28 (-16.0 Units) against the money line in home games vs. an NL starting pitcher whose WHIP is 1.150 or better over the last 3 seasons. Starting Pitching and Team Metrics We really like Amir Garrett and especially in this matchup. He has made 3 starts and has posted a strong 1.83 ERA with a 0.864 WHIP with just 3 BB and 21 Ks in 19 2/3 innings of work. The big surprise for the Reds has been their bullpen. Although overused to date by many standard metrics, they have posted a 1.48 ERA and a 0.986 WHIP in 6 road games spanning 24 1/3 innings of work.
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 Reds. |
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04-23-17 | Nationals -148 v. Mets | Top | 6-3 | Win | 100 | 12 h 14 m | Show |
7* graded play on Washington (963) as they take on the NY Mets in NL East action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Washington will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 82-41 hitting 67% winners using the Run line and has made 37.9 units/unit wagered since 2012. The system has also covered the Run Line by more than 1 extra run in 58% of these games. Play against NL home teams against a 1.5 run line (NY METS) average offensive team (4.0 to 4.5 runs/game) against a very good starter (ERA |
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04-23-17 | Indians -184 v. White Sox | Top | 2-6 | Loss | -184 | 6 h 28 m | Show |
7* graded play on the Cleveland Indians (967) as they take on the Chicago White Sox in AL action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Cleveland 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. Cleveland is a solid 10-2 (+8.9 Units) against the money line in road games vs. AL teams allowing 3.9 or less runs/game on the season over the last 2 seasons. Cleveland is 58-31 (+20.3 Units) against the money line vs. AL teams allowing 4.4 or less runs/game on the season over the last 2 seasons. Cleveland is 61-28 (+24.9 Units) against the money line when the total is 8 to 8.5 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 |
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04-23-17 | Cubs -168 v. Reds | Top | 5-7 | Loss | -168 | 5 h 21 m | Show |
7* graded play on the Cubs (951) as they take on the Reds in NL Central action set to start at 1:10 PM ET. SIM algorithm shows a high probability that the Cubs will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 43-11 hitting 80% winners and has made 24.7 units/unit wagered since 2012. Play against all underdogs with a money line of +150 or more (CINCINNATI) with 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. Cubs are a solid 42-19 (+21.9 Units) against the money line vs. a team with a very good bullpen whose ERA is 3.00 or better over the last 3 seasons. Reds are just 12-47 (-26.6 Units) against the money line vs. a starting pitcher whose strikes out 5 or more batters per start over the last 2 seasons. Reds are 9-27 (-19.2 Units) against the money line in home games after having lost 6 or 7 of their last 8 games over the last 3 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 Cubs. |
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04-23-17 | Cavs v. Pacers +4 | Top | 106-102 | Push | 0 | 5 h 48 m | Show |
7* graded play on Indiana (510) as they take on Cleveland in NBA playoff action set to start at 1:00 PM ET. SIM algorithm shows a high probability that Indiana will win this game. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 43-18 hitting 71%winners since 2012. Play on any team (INDIANA) off a home loss against a division rival against opponent off a win against a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. CLV is just 7-16 ATS (-10.6 Units) when their opponents make 39% to 45% of their 3 pointers in a game this season. CLV is 11-22 ATS (-13.2 Units) when they allow 106 to 111 points in a game over the last 2 seasons. Indiana is a solid 12-3 ATS (+8.7 Units) when they grab 4 to 9 more rebounds than their opponents in a game this season. Indiana is 15-5 ATS (+9.5 Units) when they score 106 to 111 points in a game this season. 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 Pacers. Pacers blew a league-record 25-poit lead in game 3 and you would think that they would really have no motivation for this game. Not so fast, as teams that have blown 14 or greater point leads in home playoff games are 13-5 in the next game. |
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04-22-17 | Canadiens -102 v. Rangers | Top | 1-3 | Loss | -102 | 6 h 8 m | Show |
7* graded play on Montreal (51) as they take on NY Rangers Game 6 of their best-of-seven playoff series set to start at 8:05 PM ET. SIM algorithm shows a high probability that Montreal will win this game and send the series back to Montreal for the deciding Game 7. Advanced and Predictive Analytics Discussion Points The following system has gone 27-6 hitting 82% winners and has made 20.2 units/unit wagered since 1996. Play on road teams when the money line is -100 to -150 (MONTREAL) revenging 2 straight close losses vs opponent by 1 goal or less, a marginal winning team (51% to 60%) playing a winning team in the 2nd half of the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Rangers are just 11-17 against the money line (-13.7 Units) in home games against poor defensive teams - opponents average 29.5+ shots on goal this season. Rangers are 4-10 against the money line (-9.8 Units) in home games against poor defensive teams - opponents average 29.5+ shots on goal in the 2nd half of the year this season. Rangers are 5-13 against the money line (-13.3 Units) in home games against poor defensive teams allowing 29 or more shots on goal, convert 17% or more of their pp opportunities this season. 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 Montreal. |
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04-22-17 | Indians -210 v. White Sox | 7-0 | Win | 100 | 5 h 23 m | Show | |
7* graded play on the Cleveland (917) as they take on CWS 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 game situations match the SIM projections and my compiled research for the outcome of this game. Cleveland is a solid10-2 (+8.9 Units) against the money line in road games vs. AL teams allowing 3.9 or less runs/game on the season over the last 2 seasons. Cleveland is 17-5 (+13.2 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse since 1997. (Team's Record) Cleveland is 93-48 (+32.7 Units) against the money line when the total is 7 to 8.5 over the last 2 seasons. Cleveland is 20-8 (+13.4 Units) against the money line after 4 or more consecutive wins 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 Cleveland Indians. CWS are a very weak hitting team right now and have scored 4 or more runs in just 3 of their 15 games, and batting a horrid 0.213 on the season. Further, they send out a highly suspect Mike Pelfry to the hill to fend off a vastly superior offensive lineup in the Indians. Further, Cleveland starts Carlos Cattasco, who sports a stout 2.33 ERA with a 0.931 WHIP and 19 Ks in three starts spanning 19 1/3 innings of work. |
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04-22-17 | Raptors v. Bucks -2 | Top | 87-76 | Loss | -108 | 6 h 38 m | Show |
10* graded play on Milwaukee (502) as they take on Toronto in Game 4 of their best-of-seven playoff series set to start at 3:00 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points In Game 3, Toronto shot 33.8% and Toronto shot 52.7% in Milwaukee’s blowout 104-77 win in Game 3. Teams, like Milwaukee, who have covered three straight ATS, and are coming off a game as defined by Game 3 above, are an incredible 8-0 ATS in Game 4. Date Day Season Team Opponent Site Final Line Total ATS Margin OU Margin SU ATS OU Apr 22, 2017 Sat 2016 Bucks Raptors home -2.0 195.5 May 05, 2012 Sat 2011 Spurs Jazz away 102-90 -6.0 202.0 6.0 -10.0 W W U Apr 16, 2011 Sat 2010 Mavericks Trailblazers home 89-81 -5.0 186.0 3.0 -16.0 W W U May 06, 2010 Thu 2009 Magic Hawks home 112-98 -9.5 189.5 4.5 20.5 W W O May 09, 2009 Sat 2008 Cavaliers Hawks away 97-82 -9.5 181.0 5.5 -2.0 W W U Apr 29, 2009 Wed 2008 Nuggets Pelicans home 107-86 -10.5 197.5 10.5 -4.5 W W U Apr 22, 2006 Sat 2005 Bulls Heat away 106-111 8.0 193.5 3.0 23.5 L W O Apr 19, 2004 Mon 2003 Spurs Grizzlies home 87-70 -10.0 173.5 7.0 -16.5 W W U Apr 18, 2004 Sun 2003 Timberwolves Nuggets home 106-92 -10.0 186.5 4.0 11.5 W W O 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 Milwaukee. |
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04-21-17 | Royals +151 v. Rangers | Top | 2-6 | Loss | -100 | 12 h 42 m | Show |
7* graded play on Kansas City (969) as they take Texas in MLB action set to start at PM ET. SIM algorithm shows a high probability that KC 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. Texas is just 3-12 (-10.8 Units) against the money line in home games after having lost 5 or 6 of their last 7 games over the last 3 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 Royals. Two of the worst hitting teams so far this season square off tonight. KC ranks 28th with a team batting average of 0.211. However, Texas is dead last in 30th position with a 0.206 BA. Texas ranks 9th in RPG at 4.56 and this reflects a ton of key situational hits. This type of scoring just is not sustainable by any team in any season. BWe believe that Nate Karns will have a solid start and complete at least 6 innings. Hamels is a very good veteran starter, but there are some red flags. He has made three starts and averaging 6 IP/start, but has record just 11 strikeouts with 7 BB and 3 HR allowed. He has allowed 1 HR exact in each of these three starts and yielding the HR has been a periodic problem for him in his career. |
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04-21-17 | Cubs -179 v. Reds | Top | 6-5 | Win | 100 | 8 h 27 m | Show |
7* graded play on the Cubs (955) as they take on the Reds in NL Central action set to start at 7:10 PM ET. SIM algorithm shows a high probability that the Cubs boxed with starter Jon Lester will win this game. We also like using an alternative combination ager consisting of a 5* play using the money line and a 2* play using the Run Line. The current RL is – 1 ½ -125, so this offers an optimized ROI when combined with the 5* play using the money line. Either wager is valid and the combination wager simply offers a different approach to play this game. Advanced and Predictive Analytics Discussion Points The following system has gone 49-9 hitting 84.5% winners and has made 33.4 units/unit wagered since 2012. The system has also averaged a -173 favorite, which nearly matches the line for this game too. Play on all favorites with a money line of -150 or more (CHICAGO CUBS) with a team slugging percentage .390 or worse on the season (NL) against opponent with a team slugging percentage of .430 or better on the season (NL). The following game situations match the SIM projections and my compiled research for the outcome of this game. Reds are a horrid 12-46 (-25.6 Units) against the money line vs. a starting pitcher whose strikes out 5 or more batters per start 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 Cubs. |
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04-20-17 | Royals v. Rangers +106 | Top | 0-1 | Win | 106 | 13 h 9 m | Show |
7* graded play on Texas (916) as they take on Kansas City in MLB action set to start at PM ET. SIM algorithm shows a high probability that Texas will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 44-22 hitting 67% winners and has made 26.7 units/unit wagered since 2012. The system has also averaged an +111 DOG play. Play against road favorites with a money line of -110 or higher (KANSAS CITY) where team's hitters draw 3 walks or less/game on the season against opponent good power team averaging 1.25 or more HR's/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas is a solid 21-9 (+13.3 Units) against the money line in home games facing a starting pitcher whose strikes out 5 or more batters per start 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 Texas Rangers. |
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04-19-17 | Ducks v. Flames UNDER 5 | Top | 3-1 | Win | 130 | 16 h 43 m | Show |
7* graded play ‘UNDER’ in the Anaheim – Calgary (63 and 64) matchup in NHL Playoff action set to start at 10:05 PM ET. SIM algorithm shows a high probability that fewer than five goals will be scored in this match. Anaheim leads 3-0 in this best-of-seven Western Conference quarterfinals series and can wrap it all up tonight with a sweep. Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 ‘under’ for 75% winners and has made 21.6 units/unit wagered since 2012. Play ‘under’ with home teams where the total is 5 or less (CALGARY) revenging 2 straight close losses vs opponent by 1 goal or less, a marginal winning team winning between 51% to 60% of their games and playing a winning record team. The following game situations match the SIM projections and my compiled research for the outcome of this game. Calgary is a near-perfect 11-1 UNDER (+10.1 Units) after allowing 5 goals or more this season. Calgary is 19-7 UNDER (+11.6 Units) after allowing 4 goals or more this season. 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’. Calgary has lost three straight by 1 goal. In the playoffs, teams that have lost three straight games by 1 goal exact are 25-10-4 ‘UNDER’ for 71.4% winners. |
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04-19-17 | Thunder v. Rockets -7.5 | Top | 111-115 | Loss | -110 | 38 h 37 m | Show |
7* graded play on Houston (704) as they take on Oklahoma City in NBA Round 1 Playoff action set to start at 8:00 PM ET. SIM algorithm shows a high probability that will win this game by at least points and will cover the spread. Advanced and Predictive Analytics Discussion Points The following system has gone 32-5 ATS hitting 87% winners and has made 26.5 units/unit wagered since 2012. Play against underdogs of 3.5 to 9.5 points (OKLAHOMA CITY) revenging a road blowout loss vs opponent of 20 points or more against opponent off an home win scoring 110 or more points. The following system has gone 40-11 ATS hitting 78% winners and has made 28 units/unit wagered since 1996. Play on home favorites of 3.5 to 9.5 points (HOUSTON) that is a good team (+3 to +7 PPG differential) against an average team (+/- 3 PPG differential) and after 42+ games, after scoring 110 points or more 2 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is just 4-13 ATS (-10.3 Units) in road games when they allow 112 or more points in a game this season. Houston is 24-11 ATS (+11.9 Units) when their opponents make 25% to 31% of their 3 pointers in a game over the last 2 seasons. Houston is 21-12 ATS (+7.8 Units) in games where they force 13 to 17 turnovers this season. Houston is 107-39 ATS (+64.1 Units) when they score 112 to 116 points in a game since 1996. Houston is 29-15 ATS (+12.5 Units) when they score 112 or more points in a game this season. 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 Houston. |
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04-18-17 | Jazz v. Clippers -9 | Top | 91-99 | Loss | -110 | 16 h 25 m | Show |
10* graded play on the LA Clippers (530) as they take on the Utah Jazz in NBA Round One Playoff action set to start at 10:30 PM ET. SIM algorithm shows a high probability that the Clippers will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. · Utah is 62-112 ATS (-61.2 Units) in road games when their opponents make 48% to 51% of their shots in a game · Utah is 27-85 ATS (-66.5 Units) in road games when they allow 106 to 111 points in a game · Clippers are 230-110 ATS (+109.0 Units) when they make 48% to 51% of their shots in a game since 1996. · Clippers are 14-5 ATS (+8.5 Units) in home games after 1 or more consecutive unders this season. 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 Clippers. |
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04-17-17 | Grizzlies v. Spurs -11 | Top | 82-96 | Win | 100 | 15 h 9 m | Show |
7* graded play on San Antonio (520) as they take on Memphis in Game 2 of the First Round Playoff matchup set to start at PM ET. SIM algorithm shows a high probability that San Antonio will win this game by at least points 11 and will cover the spread. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Spurs are 32-19 ATS (+11.1 Units) when their opponents make 39% to 42% of their shots in a game over the last 2 seasons. Spurs are 51-37 ATS (+10.3 Units) in games where they force 13 to 17 turnovers over the last 2 seasons. Spurs are 27-15 ATS (+10.5 Units) when they grab 4 to 9 more rebounds than their opponents in a game over the last 2 seasons. Memphis is just 3-13 ATS (-11.3 Units) after a division game this season. 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 Spurs. The Spurs superior ball movement has always been their best asset in all of their previous playoff matchups and this one notwithstanding. They are a mistake free team ranking 7th in personal fouls/game with just 18 per game. Memphis ranks 29th in the league averaging 22.4. After the 46-point reversal in Game 1, we do not see Memphis responding well enough to keep this game competitive for 48 minutes. |
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04-17-17 | Blackhawks v. Predators -109 | Top | 2-3 | Win | 100 | 15 h 57 m | Show |
7* graded play on Nashville (14) as they take on Chicago in NHL Round 1 Playoff action set to start at 9:35 PM ET. SIM algorithm shows a high probability that Nashville will win this match and take a commanding 3-0 lead in this best-of-seven series. Advanced and Predictive Analytics Discussion Points The following system has gone 97-37 hitting 72.4% winners and has made 44.7 units/unit wagered since 1996. Play against road teams against the money line (CHICAGO) revenging a loss where opponent scored 4 or more goals, off an embarrassing loss by 4 goals or more to a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. Nashville is 10-3 against the money line (+9.1 Units) against good starting goalies (saving better than 91.5% of shots against) in the 2nd half of the season this season. Joel Quenneville is 6-15 against the money line (-13.8 Units) in the 3rd game of a playoff series as the coach of Chicasgo. 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 Nashville. |
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04-17-17 | White Sox v. Yankees OVER 8.5 | Top | 4-7 | Win | 100 | 12 h 4 m | Show |
7* graded play ‘OVER’ the posted total in the Chicago Whites and NY Yankees game set to start at 7:05 PM ET. SIM algorithm shows a high probability that more than 9 runs will be scored in this game. There is also a metric projecting that one of these teams will score 8 or more runs on their own merit. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Holland is 13-3 OVER (+10.0 Units) vs. teams outscoring opponents by 1 or more runs/game on the season. Holland is 20-8 OVER (+11.6 Units) after giving up |
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04-16-17 | Thunder +7 v. Rockets | Top | 87-118 | Loss | -105 | 9 h 15 m | Show |
7* graded play on Oklahoma City (515) as they take on Houston in Game 1 of their First Round playoff series set to start at 9:00 PM ET. SIM algorithm shows a high probability that OKC will lose this game by fewer than 7 points and has a great shot at winning this game. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following MONEY LINE system has gone just 49-62 hitting 44% winners, BUT has made a whopping 54.3 units/unit wagered since 2012. The system has also averaged an impressive +238 DOG play. Play against favorites using the money line (HOUSTON) good team outscoring their opponents by 3+ points/game, after a combined score of 215 points or more 3 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is a solid 23-14 ATS (+7.6 Units) in up-tempo games where they attempt 88 or more shots this season. OKC is 18-8 ATS (+9.2 Units) when their opponents make 32% to 38% of their 3 pointers in a game this season. OKC is 20-9 ATS (+10.1 Units) when they grab more than 58 rebounds in a game this season. OKC is 20-5 ATS (+14.5 Units) when they grab 10+ more rebounds than their opponents in a game this season. Houston is just 5-13 ATS (-9.3 Units) in home games when playing against a team with a winning record this season. 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 Thunder. |
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04-16-17 | Rangers -108 v. Mariners | Top | 7-8 | Loss | -108 | 4 h 27 m | Show |
7* graded play on the Texas Rangers (925) as they take on in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that the Rangers will win this game. We also like playing a 5* amount using the Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 53-23 hitting 70% winners and has made 30.5 units/unit wagered since 2012 . The system has also averaged a +102 line. Play on any team, who had a good bullpen last season that converted on 75%+ of their save opportunities, 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. Seattle is just 18-28 (-18.3 Units) against the money line in home games vs. an AL team with a team batting average of .255 or worse over the last 2 seasons. Seattle starter Iwakuma is just 3-9 (-11.6 Units) against the money line in home games when playing against a team with a losing record over the last 3 seasons. (Team's Record) 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 Rangers. Rangers lost yesterday and had just two hits. The good news, though, is that road teams that have had 2 or fewer hits in their last game and now are favored in their next game are a very strong 74-34 for 69% winners and a 18% ROI. So, if you wagered $1,000 per play you would have made $27,877 on this simply, yet profitable, situation. Moreover, the Run-Line fairs equally as well sporting a 43-36 mark for only 54.4% winners, BUT has produced a remarkable 21% ROI. The reason is that the Run Line averages +128 and Dime Players added $18,737 to their account. |
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04-16-17 | Wild -120 v. Blues | Top | 1-3 | Loss | -120 | 3 h 6 m | Show |
7* graded play on Minnesota (1) as they take on St. Louis in NHL action set to start at 3:05 PM ET, Sunday April 16. SIM algorithm shows a high probability that Minnesota will win this match and put themselves back into the series after losing the first 2 games at home. Advanced and Predictive Analytics Discussion Points The following system has gone 56-16 hitting 78% winners and has made 36 units/unit wagered since 1996. Play on road favorites against the money line (MINNESOTA) revenging 2 straight close losses vs opponent by 1 goal or less, winning between 51% and 60% of their games on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is 12-4 against the money line (+8.0 Units) in road games after having won 4 or 5 of their last 6 games this season. St. Louis is an imperfect 0-5 against the money line (-6.7 Units) in home games when leading in a playoff series 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 Minnesota. |
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04-15-17 | Astros v. A's +140 | 10-6 | Loss | -100 | 4 h 18 m | Show | |
7* graded play on Oakland (976) as they take on Houston in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that Oakland will win this game. Current line shows Oakland as a +125 home dog. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. McCullers is a near-imperfect 1-9 (-9.6 Units) against the money line in road games vs. AL teams scoring 4.4 or less runs/game on the season over the last 3 seasons. (Team's Record) McCullers is 1-11 (-12.0 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse over the last 3 seasons. (Team's Record) McCullers is just 4-12 (-10.3 Units) against the money line in road games 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 Oakland A’s. |
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04-15-17 | Bruins v. Senators -102 | Top | 3-4 | Win | 100 | 3 h 60 m | Show |
7* graded play on Ottawa (80) as they take on Boston in NHL action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Ottawa will win this match. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Ottawa is a solid 20-14 against the money line (+11.9 Units) when playing against a team with a winning record this season. Ottawa is 17-10 against the money line (+10.7 Units) after having lost 2 of their last 3 games this season. Ottawa is 8-1 against the money line (+7.1 Units) in home games revenging a close loss vs opponent of 1 goal or less this season. 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 Ottawa. |
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04-15-17 | Pacers +9 v. Cavs | Top | 108-109 | Win | 100 | 5 h 10 m | Show |
7* graded play on Indiana as they take on Cleveland in Game 1 of the First Round of the NBA playoffs set to start at 3:00 PM ET. SIM algorithm shows a high probability that Indiana will lose this game by fewer than 7 points and has a great opportunity to win this game. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 36-18 hitting 67% winners and has made 20 units/unit wagered since 2012 . Play on road teams vs. the money line (INDIANA) after 2 consecutive covers as a favorite, playing with 2 days rest. The following game situations match the SIM projections and my compiled research for the outcome of this game. Indiana is 217-140 ATS (+63.0 Units) when they make 39% to 45% of their three point attempts in a game. Cleveland is just 1-10 ATS (-10.0 Units) after scoring 85 points or less over the last 2 seasons. Cleveland is 4-14 ATS (-11.4 Units) after scoring 90 points or less 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 |
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04-14-17 | Mets -160 v. Marlins | Top | 2-3 | Loss | -160 | 7 h 15 m | Show |
7* graded play on the Mets (903) as they take on the Marlins in NL East action set to start at 7:10 PM ET. SIM algorithm shows a high probability that the Mets 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. The following system has produced a 52-21 result good for 71% winners and has made 31.8 units/unit wagered since 2011. Play on any team (NY METS) team who had a good bullpen last season that converted on 75%+ of their save opportunities and now starting a pitcher who gave up 1 or less earned runs last outing. Mets are a strong 41-13 (+26.5 Units) against the money line after 6 consecutive games versus division rivals over the last 3 seasons. Mets are 19-3 (+15.6 Units) against the money line off a one run win over a division rival over the last 3 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 Mets. Syndergaard gets the start tonight and is pitching at an elite level. In two starts, he has posted a 0.67 ERA with 16 K’s and ZERO walks in 13 IP. Moreover, he has posted a 3-0 record with a 1.67 ERA and a 0.926 WHIP in 4 career starts against the Marlins. |
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04-13-17 | A's +119 v. Royals | Top | 1-3 | Loss | -100 | 14 h 48 m | Show |
7* graded play on Oakland (969) as they take on Kansas City in AL action set to start at 8:15 PM ET. SIM algorithm shows a high probability that Oakland 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. Here is a system that has gone 31-9 for 78% winners and has made 24 units/unit wagered since 1997. Play on road teams when the money line is +125 to -125 (OAKLAND) AL team with a low on-base percentage of .320 or less and with an excellent bullpen whose ERA is 3.00 or better on the season and is now facing a team with a struggling bullpen posting a WHIP of 1.550 and higher. 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 A’s. |
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04-13-17 | Maple Leafs v. Capitals UNDER 5.5 | Top | 2-3 | Win | 100 | 12 h 40 m | Show |
7* graded play ‘UNDER’ in Game 1 of the Washington-Toronto (11-12) Matchup set to start at 7:05 PM ET. SIM algorithm shows a high probability that fewer than six goals will be scored in this game. We also have a 5* play on Washington. This opens up the parlay opportunity to play Washington and ‘under’ for a 3* amount. Given that Washington is a 2-1 favorite, the parlay using the money line is not that attractive. So, using the puck line and expecting Washington to win by two or more goals produces a far better 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. Toronto is just 3-18 against the money line (-15.5 Units) when playing against a good team (Win Pct. 60% to 75%) in the second half of the season over the last 3 seasons. Toronto is 8-30 against the money line (-19.4 Units) against good teams outscoring their opponents by 0.3+ goals/game 2nd half of the season over the last 3 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 ‘Under’ and the other optional wagers detailed above. In the NHL playoffs, teams that are playing at home and favored by -200 or more are a remarkable 8-1 for 89% winners. No opponent scored more than 2 goals in any of these nine games and 6 of the 10 saw 1 or fewer goals scored. The ‘under’ is also 8-1 in these games with the last 7 going ‘under’ the total. Ironically, the last loss occurred April 22, 2016 when the Flyers won in Washington 2-0. |
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04-13-17 | Rangers v. Angels +125 | Top | 8-3 | Loss | -100 | 8 h 3 m | Show |
7* graded play on the LA Angels (964) as they take on the Texas Rangers in AL action set to start at 3:35 PM ET. SIM algorithm shows a high probability that will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 42-21 for 67% winners and has made 25 units/unit wagered since 2012. Play against road favorites with a money line of -110 or higher (TEXAS) where team's hitters draw 3 walks or less/game on the season against opponent good power team averaging 1.25 or more HR's/game on the season. LA Angels are 19-5 (+13.6 Units) against the money line in home games after having won 4 or 5 of their last 6 games 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 LA Angels. |
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04-12-17 | Bruins -123 v. Senators | Top | 2-1 | Win | 100 | 12 h 39 m | Show |
7* graded play on Boston (9) as they take on Ottawa in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Boston will win this game and take a 1-0 lead in this best-of-seven Round 1 playoff series. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is an incredible system that has gone 25-5 for 83.3% winners and has made 20 units/unit wagered since 1996. Play on road teams when the money line is -100 to -150 revenging 2 straight close losses vs opponent by 1 goal, and is a marginal winning team (51% to 60%) playing a winning record team in the 2nd half of the season and playoffs. Ottawa is 0-8 against the money line (-12.3 Units) as a # 2 seed in the playoffs since 1996. 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 Boston Bruins. |
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04-12-17 | Mets +106 v. Phillies | Top | 5-4 | Win | 106 | 12 h 49 m | Show |
7* graded play on the NY Mets as they take on the Philadelphia Phillies in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the NY Mets 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. Mets are a solid 38-13 (+23.2 Units) against the money line after 6 consecutive games versus division rivals over the last 3 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 Mets. The Mets hit SEVEN home runs last night in their 14-4 drubbing of the Phillies last night. Normally, a team that exceeds an average performance level by this amount have a strong propensity to play back to that average or even below average in the next game. Not so fast. Teams who have hit 7 or more home runs in their previous game and find themselves playing on the road are a remarkable 8-2 SU having had an average line of -107 since 2004. This data set has produced a remarkable 52% ROI. Coincidentally, the Mets have been on the winning side of three of these 10 games. Back on August 24, 2015, the Mets were at Philadelphia and the two teams combined for 11 home runs. The next day Noah Syndergaard struggled but led the Mets to a hard fought 6-5 win. |
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04-11-17 | Reds +174 v. Pirates | Top | 6-2 | Win | 174 | 14 h 36 m | Show |
7* graded play on the Cincinnati Reds (957) as they take on the Pittsburgh Pirates in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Reds 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. Pirates are just 13-26 (-14.8 Units) against the money line in home games when playing against a team with a winning record 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 Reds. Granted, it is very early in the season, but the big surprise is the Reds bullpen. They have gone 3-for-3 in save opportunities and have posted a strong 2.02 ERA with a 1.343 WHIP and recording 25 Ks in 22 1/3 innings of work. This pen will be a critical part of the Reds win tonight. |
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04-10-17 | Mets -140 v. Phillies | Top | 4-3 | Win | 100 | 12 h 37 m | Show |
7* graded play on the NY Mets as they take on the Philadelphia Phillies in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Mets will win this game. We also like using an alternative combination ager consisting of a 5* play using the money line and a 2* play using the Run Line. The current RL is – 1 ½ +125, so this offers an optimized ROI when combined with the 5* play using the money 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. Here is an amazing system that has gone 46-5 using the money line and has made 37.5 units/unit wagered since 2012. Play on all NL favorites with a money line of -150 or more with a team slugging percentage .390 or worse on the season and is now facing an NL opponent with a team slugging percentage of .430 or better on the season. DeGrom is a solid 22-7 (+13.4 Units) against the money line when the money line is -100 to -150 since 1997. (Team's Record) 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 Mets. |
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04-09-17 | Mavs v. Suns -2.5 | Top | 111-124 | Win | 100 | 7 h 44 m | Show |
7* graded play on Phoenix (512) as they take on Dallas in NBA action set to start at 6:05 PM ET. SIM algorithm shows a high probability that Phoenix will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Phoenix is 15-6 ATS (+8.4 Units) when their opponents make 32% to 38% of their 3 pointers in a game this season. Phoenix is 24-11 ATS (+11.9 Units) in home games when they make 71% to 77% of their free throws in a game over the last 3 seasons. Phoenix is a perfect 8-0 ATS (+8.0 Units) when they allow 100 to 105 points in a game this season. Here is a system that has gone 97-50 for 66% winners since 2012. Play against favorites (PHOENIX) an excellent offensive team scoring 102 PPG or more against a poor defensive team allowing 98 to 102 PPG, after a combined score of 215 points or more 2 straight games. 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 Suns. |
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04-09-17 | Giants v. Padres +1.5 | Top | 5-3 | Loss | -125 | 8 h 56 m | Show |
7* graded play on San Diego (962) using the Run Line as they take on San Francisco in NL action set to start at PM ET. SIM algorithm shows a high probability that SD will lose this game by 1 run covering the Run Line and also may win the game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the Run 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 RL and a 1.5* play using the money line. This combination maximizes your ROI for this wager based on the probabilistic projections from the SIM. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 27-8 for 82% winners since 1997. Play on home underdogs against a 1.5 run line (SAN DIEGO) below average NL hitting team batting .255 or less and us now facing a team with a below average bullpen posting an ERA >=4.50, with a struggling bullpen whose ERA is 5.50 or worse on the season. SD is 16-4 against the run line (+13.0 Units) in home games facing a struggling bullpen whose ERA is 4.50 or worse 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 SD. |
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04-09-17 | Twins +120 v. White Sox | Top | 4-1 | Win | 120 | 6 h 41 m | Show |
7* graded play on Minnesota (973) as they take on the CWS in AL action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Current line is +120 and we expect this line to climb modestly based on current public betting flows. Never hurts to shop for the best line, so over the last 2 hours before first pitch, look to try and get a line at =125 or higher. If not, then simply wager what line is available to you. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 92-58 for 61.3% winners and has made 31.6 units/unit wagered since 2012. Play against home teams when the money line is +125 to -125 (CHI WHITE SOX) American League team who had a batting average of .260 or worse last season. 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 Twins. Twins are playing well. Granted, it is just a 4-game sample size, but teams that have won 4 straight games in the month of April are 16-19 for just 46% winners, BUT has made 4.8 units/unit wagered averaging a +147 DOG line. So, another example of the power of the DOG in MLB and exploiting the money line opportunities. Erwin Santana is an excellent starter with an above average slider that generates far more GB outs than the MLB average. It has 12-6 movement and is largely the reason why he gest weakly hit GB outs on that pitch. His change, though is what is his most ‘out’ pitch and has amazing deception. This in turn, makes his FB look much faster and explodes late on the hitter with many late swing misses. |
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04-08-17 | Dodgers -200 v. Rockies | Top | 2-4 | Loss | -200 | 9 h 22 m | Show |
7* graded play on the Dodgers (911) boxed with Kershaw and using the -1 ½ RUN Line as they take on the Colorado Rockies in NL West action set to start at 8:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game by at least 2 runs. Playing it as a straight money line play is acceptable as well, albeit with the obvious increased 2:1 risk. Another wager consideration is make a combination wager using a 3* play on the RL and a 4* play using the 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. Here is a system that has gone 103-20 for 84% winners using the money line and has made 59 unis/unit wagered since 2012. Play against all underdogs with a money line of +175 to +250 (COLORADO) -NL team with a low on-base percentage of .350 or less against a team with a good bullpen posting a WHIP 1.350 or less, with a good bullpen that converts on 75% or more of their save opportunities. Here is a second system that has gone 29-11 good for 73% winners using the money line and has made 21 units/unit wagered since 1997. Play against home teams (COLORADO) first 12 games of the season, after closing out last season poorly with 9 or more losses in last 12 games, marginal losing team from last season who won 40 to 49% of their games. 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 Dodgers boxed with Kershaw. |
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04-08-17 | Celtics -1 v. Hornets | Top | 121-114 | Win | 100 | 26 h 9 m | Show |
7* graded play on Boston (703) as they take on Charlotte in NBA action set to start at 6:05 PM ET. SIM algorithm shows a high probability that Boston will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Charlotte is just 9-20 ATS (-13.0 Units) where both teams score 105 or more points in a game this season. Charlotte is 4-13 ATS (-10.3 Units) against Atlantic division opponents this season. Charlotte is 8-17 ATS (-10.7 Units) revenging a road loss vs opponent this season. Boston is coming of a bad streak of games and have shot less than 42% from the field in their last two games. They also rebounded badly with just 47 boards in their loss at Atlanta. This was on the heels of the obliterating defeat they suffered at home to the Cavs. 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 Boston. Since 2014, Boston has performed well and bounced back nicely after B2B games of this scope. They are 9-3 ATS after 2 straight games shooting less than 42% from the field and getting just 47 boards in their last game. |
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04-08-17 | Islanders v. Devils +140 | Top | 4-2 | Loss | -100 | 25 h 44 m | Show |
7* graded play on the New Jersey Devils (8) as they take on the NY Islanders in NHL action set to start at 6:05 PM ET. SIM algorithm shows a high probability that the Devils 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. Here is a nice system that has gone 111-89 for 56% winners and has made 60 units/unit wagered since 1996. The average line has been a +134 dog. Play against road favorites against the money line (NY ISLANDERS) after allowing 2 goals or less in 4 straight games against opponent after allowing 4 goals or more. 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 NJ Devils. |
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04-07-17 | Thunder -9.5 v. Suns | Top | 99-120 | Loss | -102 | 6 h 46 m | Show |
7* graded play on Oklahoma City (515) as they take on Phoenix in NBA action set to start at 10:05 PM ET. SIM algorithm shows a high probability that the Thunder will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is a rock solid 18-7 ATS (+10.3 Units) when they grab more than 58 rebounds in a game this season. Phoenix is just 10-23 ATS (-15.3 Units) when they make 25% to 31% of their three point attempts in a game over the last 2 seasons. Phoenix is 10-22 ATS (-14.2 Units) when they grab 4 to 9 fewer rebounds than their opponents in a game over the last 2 seasons. OKC is a remarkable 18-4 ATS (+13.6 Units) when playing against a struggling team (Win Pct. 25% to 40%) this season. 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 Thunder. |
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04-07-17 | Blue Jays v. Rays OVER 8 | Top | 8-10 | Win | 100 | 8 h 34 m | Show |
7* graded play ‘OVER’ Tampa Bay-Toronto (970 set to start at 7:10 PM ET. SIM algorithm shows a high probability that more than 8 runs will be scored in this matchup. Further, there is a 55% probability that one of these teams will score 8 on their own merit. There is a lean toward TB, but that is not a reason to play TB to win the game. The probability exists for either team to score 8 runs and of course there is a chance (11%) that both teams will score 8 or more runs. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Liriano is a solid 25-13 OVER (+11.5 Units) when the total is 7 to 8.5 over the last 3 seasons. (Team's Record) Andriese is 0-1 in three starts facoing Toronto with a 5.25 ERA and a 1.167 WHIP. Liriano is 2-3 in 9 starts against TB with a 4.67 ERA and a 1.288 WHIP. 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 ‘OVER’ |
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04-07-17 | Nationals v. Phillies +165 | Top | 7-6 | Loss | -100 | 4 h 51 m | Show |
7* graded play on Philadelphia (954) as they take on Washington in NL East action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Philadelphia will win their home opener. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 49-29 for 63% winners and has made 33 units/unit wagered since 2012. Play against road favorites with a money line of -125 to -175 (WASHINGTON) after 2 straight games where they committed no errors against opponent after 2 straight games where they stranded 5 or less runners on base. 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 Philadelphia. |
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04-07-17 | Braves +137 v. Pirates | Top | 4-5 | Loss | -100 | 4 h 38 m | Show |
7* graded play on Atlanta (951) as they take on Pittsburgh in NL action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Atlanta 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. Here is a nice system that has gone 78-43 for 65% winners and has made 36 units/unit wagered since 2012. Play on any team (ATLANTA) after a loss by 4 runs or more against opponent after a combined score of 3 runs or less. Atlanta is 30-28 (+20.2 Units) against the money line in road games against right-handed starters over the last 2 seasons. Pittsburgh is just 8-19 (-16.2 Units) against the money line in home games after 2 or more consecutive losses 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 Atlanta Braves. |
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04-06-17 | Giants -106 v. Diamondbacks | Top | 3-9 | Loss | -106 | 14 h 30 m | Show |
7* graded play on San Francisco (911) as they take on Arizona in NL action set to start at 9:40 PM ET. SIM algorithm shows a high probability that San Francisco 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. Here is a system that has gone 41-23 for 64% winners and has made 28 units/unit wagered since 1997. Play against home favorites with a money line of -110 or higher (ARIZONA) first 12 games of the season, non-playoff team from prior season who won their last 3 games, team that had a losing record last season. Arizona is 32-60 (-30.9 Units) against the money line when the total is 8.5 to 10 over the last 2 seasons. Arizona is 10-21 (-12.7 Units) against the money line in home games after a win 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 San Francisco. |
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04-06-17 | Nets +2.5 v. Magic | Top | 107-115 | Loss | -105 | 12 h 15 m | Show |
10* graded play on the Nets (701) as they take on the Orlando Magic in NBA action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Nets will losethis game by fewer than 3 points and has a great shot at winning the 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. Brooklyn is 9-1 ATS (+7.9 Units) in road games when their opponents make 43% to 47% of their shots in a game this season. Brooklyn is 35-20 ATS (+13.0 Units) in road games in games where they commit 13 to 17 turnovers over the last 3 seasons. Orlando is 14-23 ATS (-11.3 Units) in up-tempo games where they attempt 88 or more shots this season. Orlando is 2-10 ATS (-9.0 Units) in home games when they attempt 23 to 28 free throws in a game this season. Orlando is 14-24 ATS (-12.4 Units) when they grab 10 to 15 offensive rebounds in a game this season. 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 |
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04-06-17 | Rockies +112 v. Brewers | Top | 2-1 | Win | 112 | 6 h 50 m | Show |
7* graded play on Colorado (903) as they take on Milwaukee in MLB action set to start at 1:40 PM ET. SIM algorithm shows a high probability that Colorado 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. Milwaukee is 16-37 (-20.1 Units) against the money line after a win by 4 runs or more over the last 3 seasons. Milwaukee is 14-34 (-19.8 Units) against the money line in April games over the last 3 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 Colorado Rockies. |
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04-05-17 | Warriors v. Suns +10 | Top | 120-111 | Win | 100 | 5 h 60 m | Show |
7* graded play on the Phoenix Suns (514) as they take on the Golden State Warriors in NBA action set to start at 10:00 PM ET. SIM algorithm shows a high probability that Phoenix will lose this game by fewer than 7 points and has a modest shot at being a headline on Sports Center tomorrow morning with an upset win. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the 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. GS is just 12-21 ATS (-11.1 Units) where both teams score 105 or more points in a game this season. GS is 11-25 ATS (-16.5 Units) when playing against a team with a losing record this season. Phoenix is a solid 24-12 ATS (+10.8 Units) in home games when playing against a team with a winning record 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 Phoenix Suns. |
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04-05-17 | Mariners +103 v. Astros | Top | 3-5 | Loss | -100 | 2 h 3 m | Show |
7* graded play on Seattle (975) as they take on Houston in MLB action set to start at 8:10 PM ET. SIM algorithm shows a high probability that Seattle 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. This system has gone 90-48 for 65% winners and has made 40.3 units/unit wagered since 2011. Play against home teams when the money line is +125 to -125 (HOUSTON) American League team who had a batting average of .260 or worse last season. This system is 3-2 making 0.8 units/unit wagered through 2 days of MLB action. Houston is a money burning 3-12 (-11.5 Units) against the money line after a game with a combined score of 4 runs or less 2 straight games over the last 3 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 Houston Astros. |
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04-03-17 | North Carolina v. Gonzaga UNDER 154 | Top | 71-65 | Win | 100 | 14 h 35 m | Show |
10* graded play on ‘UNDER’ in the NCAA Final featuring UNC (602) against Gonzaga that is set to start at 9:20 PM ET. SIM algorithm shows a high probability that fewer than 150 points will be scored in this game. Projections also call for both teams to score ‘UNDER’ 75 points as well. So, we recommend playing ‘under’ in each team’s total for a 3* amount each. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 318-194 ‘under’ good for 62% winners since 2011. Play ‘under’ - neutral court teams where the total is between 150 and 159.5 points in a NCAA tournament game. We provide that system more for you copy and paste it, so that you can tap into its’ benefits next season. Tweaking this a bit or your reference library creation, moving the total to 159 to 165 points has provided a very strong 18-10 ‘under’ record in 2016 All Tournament action (NCAA, CBI, and NIT). 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’ UNC is a solid 15-5 UNDER (+9.5 Units) when they attempt 14 to 18 free throws in a game over the last 3 seasons. UNC is 12-3 UNDER (+8.7 Units) when they score 75 to 80 points in a game over the last 2 seasons. |
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04-02-17 | Yankees v. Rays +108 | Top | 3-7 | Win | 108 | 4 h 26 m | Show |
7* graded play on Tampa Bay as they take on the New York Yankees in AL action set to start at 1:10 PM ET. SIM algorithm shows a high probability that Tampa Bay will win this game. 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 Tampa Bay. Tanaka is making his third consecutive Opening Day start and the 28-year old ace, who was 14-1 with a 3.07 ERA in 31 starts last seasons. He set caeer highs in wins and innings (199 2/3) K’s (165) and quality starts at (19). Archers is coming off a very disappointing last season and is looking to rebound to his elite ace form in 2017. He has been lights out all Spring and made a solid start in the WBC too. He is throwing at 97 MPH with significant movement and his slider is still one of the best in the Majors. HI improvement from an 0-4 horrid start in 2016 was quite evident before the season was over. Over his final 13 starts, however, Archer pitched to a 3.11 ERA and 1.00 WHIP, striking out 97 batters over 84 innings while holding hitters to a .605 OPS. So, with three new youngsters, albeit very good players, we like Archer and the Rays for Opening Day. |
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04-01-17 | Oregon v. North Carolina -4.5 | Top | 76-77 | Loss | -102 | 10 h 5 m | Show |
10* graded play on North Carolina as they take on Oregon in Final Four action set to start at 8:35 PM ET. SIM algorithm shows a high probability that UNC will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. UNC is 12-4 ATS (+7.6 Units) when they make 31% to 37% of their three point attempts in a game over the last 2 seasons. UNC is 14-6 ATS (+7.4 Units) when they grab 14 or more offensive rebounds in a game this season. UNC is 10-3 ATS (+6.7 Units) when they grab more than 45 rebounds in a game this season. 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 UNC. Each of these teams come in on four-game ATS win streaks. Oregon is coming off an exceptional performance hitting 50.5% of their shots and allowed just 35% shooting in their Elite 8 Regional win over Kansas. However, teams in this situation and facing an opponent on a 4-game ATS win streak are 0-4 ATS since 2011. So, this combination of factors is rare, but still very meaningful and reveals our team’s belief that Oregon will not be able to replicate the pinnacle performance they had with Kansas tonight against UNC. Rebounding is a huge edge to UNC and there is no team better on the offensive glass. UNC ranks best n the nation averaging 45 boards per game and best in offensive rebounding percentage at 41%. That means that UNC gets multi-shot possessions on at least half of their possessions. Oregon ranks 130th in the nation averaging 36.1 boards per game, and 68th with a 30.6 offensive rebounding percentage. So, the wider the rebounding edge favoring UNC, the greater the scoring differential. |
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04-01-17 | South Carolina v. Gonzaga UNDER 138 | Top | 73-77 | Loss | -100 | 8 h 40 m | Show |
7* graded play ‘UNDER’ South Carolina Gonzaga (811) in their Final Four showdown set to start at 6:05 PM ET. SIM algorithm shows a high probability that fewer than 135 points 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. Gonzaga is 19-9 UNDER (+9.1 Units) in road games when they attempt 54 to 62 shots in a game over the last 3 seasons. SC is7-1 UNDER (+5.9 Units) when they make 34% to 39% of their shots in a game this season. SC is 11-3 UNDER (+7.7 Units) in road games when they make 31% to 37% of their three point attempts in a game over the last 3 seasons. SC is 19-7 UNDER (+11.3 Units) when they attempt 19 to 24 free throws in a game over the last 3 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 ‘UNDER’ |
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03-31-17 | Capitals v. Coyotes +235 | Top | 3-6 | Win | 235 | 13 h 14 m | Show |
7* graded play on Arizona (12) as they take on Washington in NHL action set to start at 10:05 PM ET. SIM algorithm shows a better than 60% probability that Arizona will win this game. The line is at +225 and if you wager on these types of dogs in the NHL and MLB, your win percentage may not even approach 50%, BUT your units won will put a lot of cash in your account. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a dog play system tht has gone 23-18 for 67% winners, BUT has made a whopping 27 units/unit wagered averaging a +195 DOG play since 1996. Play against road favorites of -200 to -300 against the money line (WASHINGTON) after successfully covering the spread in 4 or more consecutive games, with a winning record on the season playing a losing team in the second half of the season. 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. |
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03-31-17 | 76ers +11.5 v. Cavs | Top | 105-122 | Loss | -110 | 12 h 37 m | Show |
7* graded play on the Philadelphia 76ers (505) as they take on the Cleveland Cavaliers in NBA action set to start at PM ET. SIM algorithm shows a high probability that the 76ers will lose this game by fewer than 7 points and has a great opportunity to win the 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. Philadelphia is 16-7 ATS (+8.3 Units) in up-tempo games where they attempt 88 or more shots this season. Philadelphia is 18-6 ATS (+11.4 Units) when they make 43% to 47% of their shots in a game this season. Philadelphia is 22-10 ATS (+11.0 Units) when they make 32% to 38% of their three point attempts in a game this season. Philadelphia is 22-8 ATS (+13.2 Units) in games where they force 13 to 17 turnovers this season. Philadelphia is 12-1 ATS (+10.9 Units) when they score 100 to 105 points in a game this season. 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 76ers. Cleveland is not playing well and has lost three straight games. Betting public will undoubtedly be all over the CAVS as the day unwinds and that will support our cause for the 76ers. Further, teams that have a win % at 0.630 or higher and are off three straight SU losses are 13-22 ATS since 2014. Add in the home court parameter and the results are 3-12 ATS since 2014. |
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03-31-17 | Coastal Carolina +8.5 v. Wyoming | Top | 59-83 | Loss | -108 | 11 h 33 m | Show |
7* graded play on Coastal Carolina (523) as they take on Wyoming in Game 3 of the CBI Tournament Final set to start at 7:00 PM ET. SIM algorithm shows a high probability that Coastal Carolina will lose this game by fewer than 6 points and has a great shot at winning the game and the Tournament Championship. 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 line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the 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. Ellis is a solid Ellis is 35-18 ATS (+15.2 Units) versus poor pressure defensive teams - forcing |
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03-29-17 | Warriors v. Spurs -4.5 | Top | 110-98 | Loss | -105 | 12 h 15 m | Show |
7* graded play on San Antonio (516) as they take on the Golden State Warriors in NBA action set to start at 9:35 PM ET. SIM algorithm shows a high probability that the Spurs will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Spurs are 14-5 ATS (+8.5 Units) when they make 78% to 83% of their free throws in a game this season. Spurs are 51-34 ATS (+13.6 Units) in games where they force 13 to 17 turnovers over the last 2 seasons. Spurs are 26-14 ATS (+10.6 Units) when they grab 4 to 9 more rebounds than their opponents in a game over the last 2 seasons. Spurs are 217-106 ATS (+100.4 Units) when they score 100 to 105 points in a game since 1996. Spurs are a solid 19-6 ATS (+12.4 Units) versus strong offensive teams scoring 106+ points/game this season. 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 Spurs. |
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03-29-17 | Coastal Carolina v. Wyoming UNDER 156.5 | Top | 57-81 | Win | 100 | 13 h 8 m | Show |
7* graded play on ‘UNDER’ Coastal Carolina – Wyoming (522) in Game 2 of the CBI Tournament finals set to start at 9:00 PM ET. SIM algorithm shows a high probability that fewer than 150 points 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. Coastal Carolina is 9-2 UNDER (+6.8 Units) after scoring 80 points or more this season. Wyoming is 15-5 UNDER (+9.5 Units) in home games after covering 5 or 6 of their last 7 against the spread 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’ in Game 2. |
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03-28-17 | Warriors v. Rockets -1.5 | Top | 113-106 | Loss | -107 | 13 h 6 m | Show |
7* graded play on Houston (772) as they take on Golden State in NBA action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Houston will win this game by at least 7 points. 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 20-10 ATS (+9.0 Units) in games where they force 13 to 17 turnovers this season. Houston is 107-39 ATS (+64.1 Units) when they score 112 to 116 points in a game since 1996. Houston is 28-12 ATS (+14.8 Units) when they score 112 or more points in a game this season. 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 Houston. Golden State has not been a road dog all that often in past seasons. In fact, this will be the second time this season and just the 21st time in the past three seasons. They are 0-1 ATS this season getting crushed at San Antonio 107-85 March 11. Although a very good team, they have changed significantly with the absence of Durant and the Rockets are a team that can wear them down over the course of a game. Nobody shoots more three-point shots (40 per game) than Houston and they rank 7th taking 87 shots per game. Moreover, they rank second in shooting efficiency. |
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03-28-17 | CS Bakersfield v. Georgia Tech OVER 123 | Top | 61-76 | Win | 100 | 11 h 7 m | Show |
7* graded play ’OVER’ in the NIT semifinal game between G-Tech and Cal State Bakersfield set to start at 7:00 PM ET. SIM algorithm shows a high probability that 130 or more points 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. G-Tech is 14-5 OVER (+8.5 Units) in road games when they make 40% to 46% of their shots in a game over the last 3 seasons. G-Tech is 9-1 OVER (+7.9 Units) in road games when playing only their 2nd game in 8 days over the last 2 seasons. CS-Bakersfield is 6-0 OVER (+6.0 Units) as an underdog 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 ‘OVER’ tonight. |
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03-27-17 | Magic v. Raptors -9 | Top | 112-131 | Win | 100 | 12 h 22 m | Show |
7* graded play on Toronto (732) as they take on Orlando in NBA action set to start at 7:30 PM ET. SIM algorithm shows a high probability that Toronto will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Orlando is just 21-43 ATS (-26.3 Units) when they make 25% to 31% of their three point attempts in a game over the last 3 seasons. Orlando is 5-14 ATS (-10.4 Units) when they make 71% to 77% of their free throws in a game this season. Orlando is 15-31 ATS (-19.1 Units) when they allow 106 to 111 points in a game over the last 3 seasons. Orlando is 5-13 ATS (-9.3 Units) when they grab 48 to 52 rebounds in a game this season. Orlando is 5-13 ATS (-9.3 Units) when they grab 4 to 9 fewer rebounds than their opponents in a game this season. Toronto is a solid 31-8 ATS (+22.2 Units) when their opponents make 25% to 31% of their 3 pointers in a game over the last 2 seasons. Toronto is 24-12 ATS (+10.8 Units) when they allow 94 to 99 points in a game over the last 2 seasons. Toronto is 144-62 ATS (+75.8 Units) when they score 106 to 111 points in a game since 1996. Here is a system that has gone 29-8 ATS good for 79% winners since 2012. Play on underdogs (ORLANDO) after beating the spread by more than 24 points in their previous game, a struggling team, winning 25% to 40% of their games on the season. 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 Toronto. |
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03-27-17 | Red Wings +166 v. Hurricanes | Top | 4-3 | Win | 166 | 11 h 30 m | Show |
7* graded play on Detroit (5) as they take on Carolina in NHL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Detroit will win this game. Detroit us a +160 dog currently, and given the projections, we like the puck line too. In this specific situation making a 4* play using the puck line and a 3* play using the money line provides and excellent 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. This system has gone 22-9 for 71% winners and has made 20.3 units/unit wagered since 2012. Play against home favorites of -200 or less against the money line (CAROLINA) off a win or tie in their previous game, a marginal losing team (40% to 49%) playing a bad team winning between 25 and 40% in the second half of the season. Carolina is just 5-10 against the money line (-11.4 Units) in home games when playing against a team with a losing record this season. 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 Detroit. |
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03-26-17 | Kentucky v. North Carolina UNDER 161 | Top | 73-75 | Win | 100 | 4 h 46 m | Show |
7* graded play on ‘UNDER’ n the Elite 8 Round between Kentucky and UNC set to start at 5:05 PM ET. SIM algorithm shows a high probability that fewer than 155 points 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. The current line at 159.5 and likely to move to 160 given the public betting flows. Kentucky is coming off a game where they committed just 8 turnovers and this combined with the current line produces a very favorable set of criteria for the ‘UNDER’ to bring home the bacon. In games on a neutral court where one of the teams committed just 8 or fewer turnovers and the line is between 158 and 165 has produced a 15-6 ‘UNDER’ mark good for 71.4% winners since the 2012 season. Kentucky is 14-2 UNDER (+11.8 Units) when they attempt 54 to 62 shots in a game this season. 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’ |