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Date | Match Up | Rating | Score | Result | Profit | Lead Time | Analysis |
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04-25-18 | Red Sox -131 v. Blue Jays | Top | 4-3 | Win | 100 | 4 h 1 m | Show |
John Ryan Sports Research Report
@JohnRyanSports1 The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 55-14 over the last 5 seasons for 79.7%, +3600 per $100 wagered.
SIM Matching Game Situations Boston is 15-3 (+11.6 Units) against the money line against right-handed starters this season. Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms applied to the NFL have enhanced our NFL performance with a 46-24 ATS 65.7% record for the 2017 NFL season. College Basketball went 81-63 ATS for 56.3% winners.
NBA since March 1 21-11 ATS for 67%.
MLB 10-Star plays 3-0
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04-22-18 | Padres +145 v. Diamondbacks | Top | 2-4 | Loss | -100 | 7 h 31 m | Show |
JOHN RYAN SPORTS RESEARCH REPORT
@JOHNRYANSPORTS1 The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics
SIM Matching Game Situations San Diego is: Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms applied to the NFL have enhanced our NFL performance with a 46-24 ATS 65.7% record for the 2017 NFL season. College Basketball went 81-63 ATS for 56.3% winners.
NBA since March 1 20-10 ATS for 67%.
MLB 10-Star plays 3-0
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04-22-18 | Blue Jays +218 v. Yankees | Top | 1-5 | Loss | -100 | 3 h 27 m | Show |
JOHN RYAN SPORTS RESEARCH REPORT
@JOHNRYANSPORTS1 The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 65-43 over the last 5 seasons for 60.2%, $3760 per $100 wagered. The average play has been a +124 DOG.
SIM Matching Game Situations Toronto is a solid 28-12 (+18.0 Units) against the money line revenging a loss where the team scored 1 run or less over the last 2 seasons. Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms applied to the NFL have enhanced our NFL performance with a 46-24 ATS 65.7% record for the 2017 NFL season. College Basketball went 81-63 ATS for 56.3% winners.
NBA since March 1 20-10 ATS for 67%.
MLB 10-Star plays 3-0
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04-21-18 | Cubs v. Rockies +126 | Top | 2-5 | Win | 126 | 7 h 33 m | Show |
JOHN RYAN SPORTS RESEARCH REPORT
@JOHNRYANSPORTS1 The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 35-15 since 1997 for 70%, $2410 per $100 wagered.
Play against road teams (CHICAGO CUBS) very good offensive teams scoring 5.0 or more runs-per-game against an average NL starter with an ERA between 4.20 to 5.20 and with an overused bullpen that pitches more than 3.2 innings per game. 38-17 over the last 5 seasons for 69.1%, +2400 per $100 wagered
Play on any NL team (COLORADO) with a team on base percentage .300 or worse on the season after 2 straight losses by 4 runs or more. 136-103 since 1997 for 56.9%, +6570 per $100 wagered.
SIM Matching Game Situations Cubs are just 8-15 (-14.8 Units) against the money line after a win by 6 runs or more over the last 2 seasons. Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms applied to the NFL have enhanced our NFL performance with a 46-24 ATS 65.7% record for the 2017 NFL season. College Basketball went 81-63 ATS for 56.3% winners.
NBA since March 1 18-9 ATS for 67%.
MLB 10-Star plays 2-0
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04-14-18 | Braves +173 v. Cubs | 10-14 | Loss | -100 | 6 h 2 m | Show | |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics
SIM Matching Game Situations Atlanta is a solid 18-14 (+15.2 Units) against the money line vs. teams outscoring opp by 1 or more runs per game on the season over the last 2 seasons. Maddon is 9-17 (-19.4 Units) against the money line in home games facing NL teams scoring 5 or more runs per game on the season as the manager of the CUBS.
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04-13-18 | Yankees v. Tigers +155 | Top | 8-6 | Loss | -100 | 2 h 54 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 252-157 over the last 5 seasons for 61.6%, $7870 per $100 wagered
SIM Matching Game Situations GARDENHIRE is 70-37 (+43.8 Units) against the money line after scoring 4 runs or less 5 straight games in all games he has managed since 1997.
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04-11-18 | Yankees v. Red Sox UNDER 8 | Top | 10-7 | Loss | -110 | 6 h 12 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
SIM Matching Game Situations Data Intelligence working for the UNDER
Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 13-6 ATS NCAA Tournament; 23-12 ATS since March 1. 12-7 ATS in the NBA since March 1 2-0 with MLB 10-Star Titans |
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04-10-18 | A's v. Dodgers -121 | Top | 0-4 | Win | 100 | 13 h 17 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 44-12 over the last 5 seasons for 78.6%, +2800 per $100 wagered.
SIM Matching Game Situations Data Intelligence working for the Dodgers Oakland is just 8-26 (-16.9 Units) against the money line in road games after 3 consecutive game versus a division rival over the last 2 seasons.
Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 13-6 ATS NCAA Tournament; 26-12 ATS since March 1. 11-6-2 ATS in the NBA since March 1 |
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04-08-18 | Diamondbacks v. Cardinals UNDER 7.5 | Top | 4-1 | Win | 100 | 4 h 54 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics
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04-07-18 | Marlins v. Phillies OVER 8 | Top | 1-20 | Win | 100 | 7 h 43 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 49-20 over the last 5 seasons for 71%, $2820 per $100 wagered. Over the last 3 seasons the situation's record is: (29-12, +16.5 units).
SIM Matching Game Situations Data Intelligence working for the OVER. Miami is 23-7 OVER (+15.9 Units) facing fielding teams averaging 0.75 or more errors per game over the last 3 seasons. Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 13-6 ATS NCAA Tournament; 23-12 ATS since March 1. 10-5-2 ATS in the NBA since March 1 |
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04-07-18 | Diamondbacks v. Cardinals -110 | Top | 3-5 | Win | 100 | 4 h 39 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 64-30 over the last 5 seasons for 68.1%, $3290 per $100 wagered
SIM Matching Game Situations Data Intelligence working for St. Louis
St. Louis is 148-77 (+42.8 Units) against the money line in home games after 3 or more consecutive unders since 1997.
Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 13-6 ATS NCAA Tournament; 26-12 ATS since March 1. 10-5-2 ATS in the NBA since March 1 |
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04-07-18 | Rays v. Red Sox UNDER 8.5 | Top | 3-10 | Loss | -100 | 2 h 44 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 44-16 over the last 5 seasons for 73.3%, $2600 per $100 wagered. 61% of all plays made went under by at least 1 runs.
SIM Matching Game Situations Data Intelligence working for the UNDER CASH is 19-7 UNDER (+11.1 Units) off 2 straight road losses against a division rival as the manager of Tampa Bay. |
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04-07-18 | Orioles v. Yankees UNDER 9.5 | Top | 3-8 | Loss | -121 | 2 h 44 m | Show |
JOHN RYAN SPORTS @JOHNRYANSPORTS1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 33-9 since 1997 for 78.6%, $2270 per $100 wagered. Over the last 3 seasons the situation's record is: (4-1, +3 units).
SIM Matching Game Situations Data Intelligence working for the UNDER.
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04-05-18 | Mets +145 v. Nationals | Top | 8-2 | Win | 145 | 1 h 57 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 67-37 since 1997 for 64.4%, $4710 per $100 wagered.
SIM Matching Game Situations Data Intelligence working for the NY Mets
Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 13-6 ATS NCAA Tournament; 26-12 ATS since March 1. 10-5-2 ATS in the NBA since March 1 |
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04-04-18 | Mariners +120 v. Giants | 1-10 | Loss | -100 | 3 h 30 m | Show | |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics
SIM Matching Game Situations Data Intelligence working for Seattle Data Intelligence working against San Francisco Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 5-2 ATS 71.4% 10-Star NBA 2018 season 0-0 -0.00 units in 10-Star MLB 2018. |
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04-03-18 | Orioles +200 v. Astros | Top | 6-10 | Loss | -100 | 6 h 40 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy An option worth considering is to play a 4-Star amount on the money line and a 3-Star amount on the Run Line, which is currently at +105 for the +1 ½ Run Line. This strategy reduces overall risk significantly and still provides very attractive upside gain. In a 1-run loss, Baltimore becomes a modest loss of -1.7 units. If Baltimore wins outright, then the return is a nice 12.15 units.
Game Intelligence Analytics 45-20 since 1997 for 69.2%, $2960 per $100 wagered.
SIM Matching Game Situations Data Intelligence working for Baltimore Data Intelligence working against Houston Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 5-2 ATS 71.4% 10-Star NBA 2018 season 0-0 -0.00 units in 10-Star MLB 2018. |
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03-31-18 | Twins -114 v. Orioles | Top | 6-2 | Win | 100 | 9 h 9 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 32-13 since 1997 for 71.1%, $2210 per $100 wagered.
SIM Matching Game Situations Data Intelligence working for Minnesota Data Intelligence working against Baltimore Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 5-2 ATS 71.4% 10-Star NBA 2018 season 0-0 -0.00 units in 10-Star MLB 2018. |
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03-30-18 | Phillies -103 v. Braves | Top | 5-4 | Win | 100 | 7 h 13 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics Teams that blew a 4-run lead or less and having led in 4 to 7 innings and lost on the road to a division rival are then 379-103 for 79% winners since 2015 and an amazing 60% ROI.
SIM Matching Game Situations Data Intelligence working for the Phillies Data Intelligence working against the Braves. Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 11-6 ATS NCAA Tournament; 23-12 ATS since March 1. 8-2-2 ATS in the NBA since March 1 |
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03-30-18 | Red Sox v. Rays +133 | Top | 1-0 | Loss | -100 | 7 h 47 m | Show |
John Ryan Sports @JohnRyanSports1
The Play The Matchup Start Time SIM grading Recommended Strategy
Consider placing a 3-star amount on a money line parlay with the Rays and Phillies.
Game Intelligence Analytics 71-44 since 1997 for 61.7%, 3750 per $100 wagered.
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03-29-18 | Indians -165 v. Mariners | Top | 1-2 | Loss | -165 | 14 h 44 m | Show |
The MLB Play The Matchup Start Time SIM grading Recommended Strategy
Game Intelligence Analytics 37-6 since 1997 for 86%, +3100 per $100 wagered.
SIM Matching Game Situations Data Intelligence working for Cleveland Data Intelligence working against Seattle Methodologies and Subscriptions If you are new to our service and wager methodologies, we have developed several analytical tools using machine learning techniques - some of which have been around since the 1950's. Also, have deployed AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. Here are the current records for March and season-to-date 11-6 ATS NCAA Tournament; 23-12 ATS since March 1. 8-2-2 ATS in the NBA since March 1 Ryan’s MLB Opening Day Titan |
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11-01-17 | Astros v. Dodgers -148 | Top | 5-1 | Loss | -148 | 3 h 7 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers (912) Start Time: Wednesday, 11/01/2017 8:15 PM SIM grading: 7 stars Recommended Strategy: Wager a 7 star amount on the Dodgers using the money line. An alternative wager is to play a 5 star amount on the money line and add a 2 star amount using the -1 ½ Run Line and if available add a 1.5 star amount to the - 2 ½ Run Line. This is more than the 7 star risk, but the return and the SIm projections are what more than validates the added financial risk.
Round Table Discussion Points Thank you for another successful baseball season. Many of you have been with us for more than decade and even a few can say 2 decades. We greatly appreciate your loyalty and commitment to our work and our efforts to improve successful each season.
I will be tweeting for live in-Game betting opportunities. My handle is JohnRyanSports1.
This year’s Fall Classic has already secured its place in baseball history. And it is not over yet and as we stated last night with our 10 star winner, there would be a Game 7, and this game could bring out the even more incredible situations for all of us to enjoy.
It is rather shocking, to us at least, that the media gives no credit or chance for Darvish to have moderate success tonight in Game 7. Houston struggles away from home scoring 23 runs in 8 playoff games, while scoring 20 runs in just Games, 3,4, and 5 alone. We have also seen in past WS Game 7 action that using an ace out of the pen has not been always the best decision - save that Madison Bumgarner guy from the Giants. So, we do not see Kershaw and Keuchel as automatics out of the bullpen. Darvish has pitched numerous times against the Astros playing then for the Rangers. Past performance, though, has diminished value for a Game 7, but over the years, Altuve and Correa they have been mostly neutralized by Darvish. Altuve is 8-for-34 (.235) with three doubles, six walks and a .674 OPS against Darvish, and Correa is 3-for-16 (.188) with one double, one homer and a .625 OPS. We do hope that Roberts does not attempt to manage this from the computer seat, but rather by the seat of his pants. Gut feelings are why he is a Manager in the first place, especially at the highest level of competition.
Advanced and Predictive Analytics Discussion Points The following database query has gone 124-50 hitting 71.3% winners and has made $5,230 wagering $100 per qualified play. Play on all favorites with a money line of -125 to -175 (LA DODGERS). Starting a pitcher who walked 1 or fewer hitters each of his last 2 outings. And has been a cold hitting team batting .215 or worse over their last 5 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are 29-6 (+19.7 Units) against the money line in home games after allowing 2 runs or less this season. Dodgers are 27-10 when facing high-powered hitting teams averaging 1.25 HR per game.
Methodology Discussion Points If you are new to our service and wager methodologies, we have developed several methods of machine learning, AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms has been applied to the NFL and have no doubt helped propel our NFL plays to an amazing 21-6 ATS record in 2017. So, do yourself a big favor and consider getting on board with a cost saving sports subscription and never miss a play.
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10-31-17 | Astros v. Dodgers -114 | Top | 1-3 | Win | 100 | 8 h 58 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers (912) Start Time: Tuesday, 10/31/2017 8:15 PM SIM grading: 7 stars Recommended Strategy: Wager a 7 star amount on the Dodgers using the money line. An alternative wager is to play a 5 star amount on the money line and add a 2 star amount using the -1 ½ Run Line and if available add a 1.5 star amount to the - 2 ½ Run Line. This is more than the 7 star risk, but the return and the SIm projections are what more than validates the added financial risk.
Round Table Discussion Points This year’s Fall Classic has already secured its place in baseball history. And it is not over yet and we obviously think there will be a Game 7, which could bring out the even more incredible situations for all of us to enjoy.
Rich Hill is on more than full rest given that he pitched four strong innings in Game 2. We strongly believe he will go more than four innings tonight. Maeda has not been dominating against the top half of the Houston RH lineup. Both bullpens are tired to say the least (whether the ball is juiced or not) and Verlander did give up three ER in a game he was trending toward a loss. Let’s not overlook the fact that verlander has been vastly different in road games this season overall. He has posted a 4.16 ERA in 18 road starts completing 110 ⅓ innings allowing 104 hits and a 0.246 batting average. We also expect the veteran Chase Utley to be in the lineup tonight and that he will contribute significantly in some fashion. Whether that is a 3-run homer is yet to be determined.
Advanced and Predictive Analytics Discussion Points The following database query has gone 176-64 hitting 73.3% winners and has made $8,560 wagering $100 per qualified play. Play against all underdogs with a money line of +100 or higher (HOUSTON). With a slugging percentage of .500 or better over their last 3 games. And is now facing an opponent with a hot starting pitcher sporting an ERA less than 2.50 over his last 5 starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is just 16-23 (-14.1 Units) against the money line after a 2 game span where the bullpen threw 9 total innings or more over the last 2 seasons. Rich Hill is 6-1 (4.9 units) when facing a strong HR hitting team that averages more than 1.25 HR per game. Methodology Discussion Points If you are new to our service and wager methodologies, we have developed several methods of machine learning, AI analytics, and combinatorial algorithms that have provided significant value and have augmented total rate of returns in all sports. The first set of Combinatorial Algorithms has been applied to the NFL and have no doubt helped propel our NFL plays to an amazing 21-6 ATS record in 2017. So, do yourself a big favor and consider getting on board with a cost saving sports subscription and never miss a play. |
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10-25-17 | Astros v. Dodgers +102 | Top | 7-6 | Loss | -100 | 4 h 41 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers Start Time: Wednesday, 10/25/2017 8:05 PM SIM grading: 7 out of 10 stars Recommended Strategy: Play a 7 star amount using the money line on the Dodgers.
Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 hitting 75% winners and has made $2,020 wagering $100 per game since 1997. Play against road teams (HOUSTON). That are good AL offensive team scoring 5.1 or more runs/game. And is now facing an NL starting pitcher sporting an ERA of 3.70 or better. After scoring and allowing 3 runs or less. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is just 12-23 (-19.5 Units) against the money line after allowing 3 runs or less 3 straight games over the last 2 seasons. LA is a solid 69-21 (+33.1 Units) against the money line after having won 4 or 5 of their last 6 games this season. LA is 18-3 (+12.8 Units) against the money line in home games after allowing 1 run or less this season. LA is 29-5 (+20.8 Units) against the money line in home games after allowing 2 runs or less this season.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers. |
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10-24-17 | Astros v. Dodgers -165 | Top | 1-3 | Win | 100 | 8 h 49 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers (902) Start Time: Tuesday, 10/24/2017 8:05 PM SIM grading: 7 stars Recommended Strategy: Wagering a 7 star amount on the Dodgers using the money line. Optional strategy is to wagering a 5 star amount on the money line and a 2* amount using the Run Line. Third option if you have availability to the -2 ½ Run Line, then consider wagering a 4 star amount using the money line, a 2 star amount using the Run Line,and 1 star amount using the -2 ½ Run Line.
Round Table Discussion Points Looking at the lines available at Five Dimes we can briefly discuss some of the very interesting and opportunistic betting lines. Wagering a 5 star amount ($100 per star player) on the money line at -167 is risking $835.00 and wagering 2 star amount on the Run Line at +130 is risking $200 for a $260 dollar gain. Total risk of $1035 to win $760.00.
The second optional wager plays out as follows: 4 star on the money line is risking $668 to win $400, 2 star amount at +135 using the -1 ½ Run Line risks $200 to make $260 and 1 star amount on the - 2 ½ Run Line risks $100 to make $210. Total risk of $968 to win $870.
You may initially think that the second three-part wager strategy is the best option since it returns an amount closer the amount being risked. But, you must always factor in the probabilities of any team defeating their opponent by 2 and 3 runs to win the second and third parts respectively. So, ROI, then becomes a very important tool for the complete analysis and is why there are different size amounts wagered for each strategy.
Now, the SIM shows a 14% probability that the Dodgers will win this game by 6 or more runs. The implied probability of a +779 dog wager is calculated as follows: For a Favorite Implied Probability = (-1 * Minus Money-line Odds) / ((-1 * Minus Money-line Odds)+100) IP = (-1* -1207)/((-1*-1207)+100) IP = 1207/-1307 IP = 0.9234
Implied Probability = 100 / (Plus Money-line Odds +100) IP = 100/(779+100) IP = .1137
For the -1207 line that sees Houston getting 6 runs, there is a 92% probability that Houston will NOT lose this game by more than 6 runs. For the DOG line of +779, there is an 11.37% probability that the Dodgers will win this game by 6 or more runs. So, the fact that the SIM shows a 14% probability that the Dodgers will win this game offers a very cheap opportunity. The 14% probability converts to a 600 dog line. We are picking up +179 points (779-600) to assume the risk of the 6 run line wager and makes it an attractive opportunity too, for no more than a ½ star amount.
Advanced and Predictive Analytics Discussion Points The following database query has gone 33-8 hitting 81% winners and has made $2,270 per $100 wagered since 2013. Play on home favorites with a money line of -110 or higher (LA DODGERS). With a starting pitcher posting a winning percentage better than 80%. And now facing an AL opponent with a starting pitcher posting a WHIP is 1.200 or better on the season.. The following game situations match the SIM projections and my compiled research for the outcome of this game. LA Dodgers are 67-19 (+37.9 Units) against the money line after having won 5 or 6 of their last 7 games this season. LA Dodgers are 31-6 (+22.1 Units) against the money line in home games after allowing 1 run or less over the last 2 seasons. Kershaw is 41-8 (+21.2 Units) against the money line as a favorite of -150 or more over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers.
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10-18-17 | Dodgers +105 v. Cubs | Top | 2-3 | Loss | -100 | 4 h 3 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers (967) SIM grading: 7 stars Recommended Strategy: Place a 7 star wager amount using the money line on the Dodgers.
Advanced and Predictive Analytics Discussion Points The following data query has shown that teams that have won the first three games of a 7-game playoff series are 5-2 SU and 5-2 ‘under’ in Game 4. Disregard the average for line, as it is simply summing the negative and positive values instead of centering it on the 100 value.
Here is another query that has produced 44-21 record for 68% winners and has made $2,420 per $100 wagered since 2014. Play on road teams (LA DODGERS). Starting a pitcher who walked 1 or fewer hitters in each of his last 2 outings. And is now facing an opponent starting a pitcher who walked 5 or more hitters last outing.
Arrieta is just 1-4 in 6 career starts against the Dodgers with a 4.25 ERA and a 1.028 WHIP. 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.
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10-17-17 | Dodgers +106 v. Cubs | Top | 6-1 | Win | 106 | 5 h 2 m | Show |
The Play and How to Play it: The Play: Los Angeles Dodgers (963) Start Time: Tuesday, 10/17/2017 9:05 PM SIM grading: 7 stars Recommended Strategy: Wager a 7* amount on the Dodgers. Alternate strategy is to place a 2* amount on the alternate Run Line and a 5* wager using the money line.
Advanced and Predictive Analytics Discussion Points The following system has gone 61-30 over the last 5 seasons for 67% winners and has made $100 per game players $2,800. Play against any team (CHICAGO CUBS). That is a struggling hitting team batting .165 or worse over their last 3 games. Against an opponent with a slugging percentage of .460 or better over their last 15 games. Her e is a second data query that has produced a 50-33 mark good for 60% winners, BUT has made $3,440 averaging a +135 DOG play since 1997. Play against all favorites with a money line of -110 or higher. In a playoff game. And after having lost 4 or 5 of their last 6 games.
The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are 62-18 (+34.1 Units) against the money line after having won 6 or 7 of their last 8 games this season. Cubs are just 13-21 (-16.6 Units) against the money line against NL West opponents this season.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers tonight. |
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10-13-17 | Yankees v. Astros -172 | Top | 1-2 | Win | 100 | 8 h 33 m | Show |
The Play and How to Play it: The Play: Houston (902) Start Time: 7:05 PM ET, Friday, October 13, 2017 SIM grading: 7 stars Recommended Strategy: Wager a 7* amount using the money line. An alternate wager is place an additional 2 star amount using the -2 ½ Run Line.
Round Table Discussion Points Advanced and Predictive Analytics Discussion Points The following system has gone 4-11 hitting 79% winners and has made $2,510 per $100 wagered since 2013. Play against all underdogs with a money line of +100 or higher (NY YANKEES). That are solid offensive teams scoring at least 5.1 runs/game. And are now facing a very good AL starting pitcher with a maximum ERA of 3.50 on the season. And with a struggling bullpen that blows 38% or more of their save opportunities. The following game situations match the SIM projections and my compiled research for the outcome of this game. TANAKA is 0-3 when starting against HOUSTON with an ERA of 8.86 and a WHIP of 1.701. KEUCHEL is 5-2 when starting against NY YANKEES with an ERA of 1.24 and a WHIP of 0.789.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Houston Astros in game of the 2017 ALCS. |
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10-12-17 | Cubs v. Nationals -101 | Top | 9-8 | Loss | -101 | 8 h 41 m | Show |
The Play and How to Play it: The Play: Washington (920) Start Time: 8:05 PM ET SIM grading: 7 stars Recommended Strategy: Play a 7* amount using the money line. An optional and more risky, but still very strong ROI features is to make a combination wager using a 4.5* amount using the money line and a 2.5* amount using the alternative Run Line.
Advanced and Predictive Analytics Discussion Points The following system has gone 84-36 since 1997 for 70% winners, and has made $4,330 per $100 wager. The system has also averaged a +111 DOG matching the current line for this game.
Play on home teams (WASHINGTON). That are very good offensive teams scoring 5.0 runs/game. And now facing a good NL starting pitcher posting an ERA of 3.70 or better. And after allowing 2 runs or less 2 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cubs are a money losing 4-12 (-11.3 Units) against the money line in road games after batting .225 or worse over a 5 game span this season. Cubs are 3-10 (-9.8 Units) against the money line in road games after a 5 game span with an OBP of .285 or worse this season. Gio Gonzalez is a solid 13-4 (+9.4 Units) against the money line when the money line is +125 to -125 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 Washington Nationals.
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10-11-17 | Yankees v. Indians -190 | Top | 5-2 | Loss | -190 | 5 h 0 m | Show |
The Play and How to Play it: The Play: Cleveland (916) Start Time: 8:05 PM ET SIM grading: 7 stars Recommended Strategy: Wager a 7* amount using the money line on Cleveland. An optional combination wager is to place a 5* amount on the money line and a 2* amount using the Run Line.
Advanced and Predictive Analytics Discussion Points The following system has gone 56-10 hitting 85% winners and has made $3,720 per $100 wagered since 1997. Play on all AL favorites with a money line of -175 to -250. Team is a below average hitting team batting less than 0.266. Facing a good starting pitcher sporting an ERA of 4.20 or better. And with a starting pitcher posting a WHIP of less than 1.101 over his last 10 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Yankees are just 13-28 (-15.5 Units) against the money line in road games after 2 straight games where the bullpen gave up no earned runs over the last 3 seasons. Cleveland is 38-16 (+15.4 Units) against the money line after 2 or more consecutive losses 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 Indians. |
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10-06-17 | Red Sox v. Astros OVER 8.5 | Top | 2-8 | Win | 110 | 2 h 40 m | Show |
The Play and how to Play it: 7* graded play ‘OVER’ in Game 2 of the Best-of-Five AL Divisional Series between Boston and Houston set to start at 2:20 PM ET. SIM algorithm shows a high probability that more than 10 runs will be scored in this game. We also have a 7* play on Boston, so this opens up a huge opportunity. The recommended wager is to place a 7* play using the money line on Boston. Then add a 7* play using the ‘over’ and then, Add no more than a 3.5* amount for a parlay using the money line and the ‘over’.
Advanced and Predictive Analytics Discussion Points The following query has gone 11-12 hitting 48% % winners and has made 8.87 units/unit wagered during the 2017 season. Play against a team that has won at least 7 or 8 of their last 8 games. Is now facing a team that has lost 6,7, or 8 of their last 8 games. Is play at home. With a line of -115 or higher.
The following game situations match the SIM projections and my compiled research for the outcome of this game. Pomeranz is a perfect 8-0 making 10.1 units when facing teams outscoring opponents by 1 or more runs/game over the last 3 seasons. Pomeranz is also 15-3 making 15.2 units when facing teams outscoring opp by 0.5 or more runs/game on the season. Pomeranz is 23-10 making 13.8 units when facing a team with a winning record over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘Over’, the Red Sox, and the parlay.
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10-03-17 | Twins +225 v. Yankees | Top | 4-8 | Loss | -100 | 12 h 4 m | Show |
The Play and how to Play it: 7* graded play on the Minnesota Twins (931) as they take on the NY Yankees in the American League Wild Card Game set to start at 8:05 PM ET. Simply make a 7* wager on the Twins using the money line.
An alternate wager is to play a 4* amount using the Run Line and a 3* play using the money line.
We also like the ‘UNDER’ n this game, so an extra and optional wager is to play the Twins using the ML and the ‘under’ for no more than a 2* amount of risk. This parlay with a ML of +200 and the total paying juice of -110 yields about a 5:1 payout. Sok if you are wagering $100 per ‘star’ unit, then this parlay is paying $500 for a risk of $100.
Based on the betting flows, the public is beginning to push the line higher with their thinking that there is just no way the Yankees can lose this game at home. So, we would not be surprised to see this line escalate to the -250 and -260 levels. This level, then changes the parlay payout to a very attractive 5.8:1 ratio or risking $100 to make $580. 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 51-39 hitting 57% winners and has made 48.4 units/unit wagered since 1997. Play on all underdogs with a money line of +150 or more. After allowing one run or less in a win over a division rival. Starting a pitcher who walked less than 2 hitters each of his last 2 outings. 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 tonight.
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09-29-17 | Pirates +181 v. Nationals | Top | 1-6 | Loss | -100 | 2 h 8 m | Show |
7* graded play on the Pirates (903) as they take on the Nationals in MLB ction set to start at 7:05 PM ET.
Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics.
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Nats are just 14-18 (-14.6 Units) against the money line in home games after having won 4 or 5 of their last 6 games this season. Gerrit Cole is 3-1 in five career starts against the Nats with a solid 2.56 ERA and a 1.010 WHIP. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Pirates.
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09-22-17 | Giants +195 v. Dodgers | Top | 2-4 | Loss | -100 | 9 h 43 m | Show |
The Play and how to Play it: 7* graded play on the Giants (963) as they take on the Dodgers in MLB action set to start at 10:10 PM ET. Wager a 7* play using the money line, which is currently at +200. Wager a 4* amount using the money line and a 3* play using the Run Line, which is currently at + 1 ½ -105.
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 Francisco 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 hitting winners and has made units/unit wagered since . The system has also averaged an impressive +173 DOG play. Play on all underdogs with a money line of +150 or more. After allowing one run or less in a win over a division rival. Starting a pitcher who walked 1 or fewer hitters each of his last 2 outings. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a money losing 10-15 (-18.1 Units) against the money line after a 5 game span with an OBP of .285 or worse this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Giants.
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09-19-17 | Nationals -205 v. Braves | Top | 4-2 | Win | 100 | 13 h 7 m | Show |
The Play and how to Play it: 7* graded play on Washington (909) as they take on Atlanta in MLB action set to start at 7:35 PM ET. There are two ways to play this release. Play a 7* amount using the money line Play a combination wager using a 5* play using the money line and a 2* play using the Run Line.
Advanced and Predictive Analytics Discussion Points The following grid shows the 2017 games that qualified as releases based on a specific data query. That data set shows the games and results playing against a home dog of 150 or more and has a starter that won his last start pitching 6 or more innings and allowing 6 or fewer hits. It has produced a record of 5-16 and making 7.24 units/unit wagered in 2017 with an average line of -185. The average loss of these home dogs was 3.14 runs per game. Since 2007 season, this data set has produced a 47-128 record and a -29 ROI, 76-97 Run Line record and a -12.8 ROI. Since 2015, it has produced a 15-42 record and -29 ROI, 23-34 Run Line record and -20 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 tonight. |
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09-15-17 | Diamondbacks v. Giants +145 | Top | 3-2 | Loss | -100 | 7 h 32 m | Show |
The Play and how to Play it: 7* graded play on San Francisco (914) as they take on Arizona in MLB action set to start at 10:15 PM ET. The recommended wager is to place a 5* amount using the money line and add a 2* amount using the Run Line.
Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, the Giants 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 collection 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 40-21 hitting 65.6% winners and has made 34 units/unit wagered since 1997. The system has also averaged an impressive 137.2 dog play. Play on all favorites with a money line of -125 to -175. Team is an average hitting team batting between .255 to .269. Facing an average NL starting pitcher posting an ERA between 4.20 to 5.20. And with a hot starting pitcher posting a WHIP of 0.800 or less over his last 3 starts.
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 Giants.
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09-13-17 | Astros +107 v. Angels | Top | 1-9 | Loss | -100 | 8 h 34 m | Show |
The Play and how to Play it: 7* graded play on Houston (927) as they take on LA Angels in MLB action set to start at 10:05 PM ET. Play is a 7* amount 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. Houston is 16-6 (+10.3 Units) against the money line in road games when playing against a team with a winning record this season. When Skaggs starts, Angels are just 1-9 (-9.6 Units) against the money line vs. good power teams - averaging 1.25 or more HR's/game in the second half of the season 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 Houston Astros. |
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09-13-17 | Braves v. Nationals -285 | Top | 8-2 | Loss | -285 | 5 h 51 m | Show |
The play and how to Play it: 7* graded play on the Washington Nationals (902) as they take on the Atlanta Braves in MLB action set to start at 7:05 PM ET. 5* play using the money line combined with a 2* play using the Run Line. Option is to add a 1 * amount using the -2 ½ Run Line.
Advanced and Predictive Analytics Discussion Points The following system has gone 38-7 hitting 84% winners and has made 27.2 units/unit wagered since 2013. Play against road underdogs with a money line of +100 or higher. Team is an average hitting team batting between .255 to .269. Against a good NL starting pitcher posting an ERA of 3.70 or lower. With a slugging percentage of .500 or better over their last 3 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Scherzer is a solid 106-39 (+30.5 Units) against the money line as a favorite of -150 or more since 1997. Nationals are 24-4 (+17.9 Units) against the money line in home games off a loss to a division rival as a favorite over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Washington Nationals. |
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09-12-17 | Padres v. Twins -164 | Top | 0-16 | Win | 100 | 13 h 48 m | Show |
The play and how to Play it: 7* graded play on the Twins (980) as they take on the Padres in MLB action set to start at 8:10 PM ET. The recommended wager is to create a combination wager using a 5* play on the money line and a 2* play using the Run Line.
Fundamental Matchups, Data Metrics, and Round Table Takeaways Twins are holding a 1-game lead over the Angels for the second wild card berth and will facing what many in the media call an easy schedule. Skipper Paul molitor corrected that by saying “ I find it a little bit comical. I saw something about the lack of teams we play that are over .500 as early as a couple of weeks ago. But the last time I checked, (the games) were all going to be against major league teams." That type of leadership is critical for the Twins right now to keep playing one pitch, one out, one inning, one game at a time. Statements like this one can be more powerful than having the team ace on the hill. Advanced and Predictive Analytics Discussion Points Padres have won 6 of their last 10 games, which isn’t bad for a losing record team. However, teams that are facing a team that have won 6 or more of their last 10 and are installed as a favorite lined at -170 and higher have gone 67-24 for 73.6% winners making 23.22 units/unit wagered in 2017. Moreover, this same situation has produced a 55-36 record against the Run Line for 60.4% winners making 18.55 units/unit wagered and a very nice 18.5% ROI. The Twins are a perfect 4-0 SU and 4-0 RL in the 2017 season.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins. |
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09-06-17 | Blue Jays +153 v. Red Sox | Top | 1-6 | Loss | -100 | 8 h 7 m | Show |
The play and how to Play it: 10* graded play on the Toronto Blue Jays (as they take on Arizona in MLB action set to start at 7:10 PM ET. Make a 7* wager amount on the under dog Blue Jays.
Advanced and Predictive Analytics Discussion Points The following system has gone 43-23 hitting 65% winners and has made 33.7 units/unit wagered since 2013. The system has also averaged an impressive +132 Dog play. Play against all favorites with a money line of -125 to -175. Has strong defensive play allowing 0.5 or less SB's/game on the season. And after two straight games where they stranded 10 or more runners on base.
Here is a second system that has gone 48-34 for 59% winners and has made 44.8 units/unit wagered since 1997.
Play against all favorites with a money line of -150 or more. Averaging 2.75 or less extra base hits per game on the season. And after 2 straight games where they stranded 10 or more runners on base. The following game situations match the SIM projections and my compiled research for the outcome of this game. Fister’s team record is just 3-10 (-10.4 Units) against the money line as a home favorite of -110 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 Toronto Blue Jays. |
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09-04-17 | Diamondbacks v. Dodgers -142 | Top | 13-0 | Loss | -142 | 8 h 35 m | Show |
The play and how to Play it: 7* graded play on the Dodgers as they take on Arizona in MLB action set to start at 8:10 PM ET. Make a straight 7* amount using the money line.
Advanced and Predictive Analytics Discussion Points The following system has gone 61-17 hitting 78% winners and has made 35.1 units/unit wagered since 2013. Play against NL road underdogs with a money line of +100 or higher. Good offensive team scoring >=4.5 runs/game on the season. In September games. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of machine learning ranging from combinatorial algorithms to decision trees and weighted simulations. 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. |
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09-03-17 | Diamondbacks v. Rockies -132 | Top | 5-1 | Loss | -132 | 2 h 50 m | Show |
The play and how to Play it: 7* graded play on Colorado as they take on Arizona in MLB action set to start at 3:10 PM ET. Make a straight 7* amount using the money line.
Advanced and Predictive Analytics Discussion Points The following system has gone 37-8 hitting 82% winners and has made 26.9 units/unit wagered since 1997. Play against all underdogs with a money line of +100 or higher. After 9 or more consecutive wins. Posting a winning record on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of machine learning ranging from combinatorial algorithms to decision trees and weighted simulations. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rockies.
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09-03-17 | Royals v. Twins -183 | Top | 5-4 | Loss | -183 | 1 h 5 m | Show |
The play and how to Play it: 7* graded play on Minnesota Twins as they take on in MLB action set to start at 2:10 PM ET. Make a straight 7* wager on the Twins. Advanced and Predictive Analytics Discussion Points The following system has gone 52-23 hitting 69% winners and has made 29.5 units/unit wagered since 2013. Play against any team. With a starting pitcher posting a winning percentage of worse than 30%. With a struggling bullpen whose ERA is over 6.50 the last 5 games. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of machine learning ranging from combinatorial algorithms to decision trees and weighted simulations. 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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09-01-17 | Red Sox v. Yankees -162 | Top | 4-1 | Loss | -162 | 11 h 33 m | Show |
Boston Red Sox (76-57) @ New York Yankees (70-62) Yankee Stadium Fister(3-7) V. Gray(8-8) Statistical Analysis BOS- Doug Fister has been everything but consistent this season. His statistics on the year are below average to say the least. Sporting a 4.53 ERA over 59.2 innings and a 3-7 record. Even though BOS serve up constant run support and at the top team in the division fister is still struggling in his starts. I don’t see him having an flashes of excellence anytime soon. NYY- Sonny Gray on the other hand is back to his usual self after a tough season in 2016. He has a 3.25 ERA in 127.1 innings with an 8-8 record. Since being traded from OAK to the NYY, he has a 2.70 ERA only going 2-3. Run support has been the biggest issue for him. Aaron Judge isn’t on as hot of a streak since after the all star break. The young line-up is still figuring out how to jell together and beome a force even though they are the second best team in the division. The Yankees are also 37-26 at home this season. Final Analysis In this matchup I am selecting the favorite. The Yankees are playing at home where they have had most of their success. Sonny gray is on the mound who has been a one pitch warrior all season and Doug fister is still struggling to find a groove. If Sonny can get some help on the offensive side this game should be in the bag. |
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08-27-17 | Brewers v. Dodgers -191 | Top | 3-2 | Loss | -191 | 7 h 9 m | Show |
The play and how to Play it: 7* graded play on the Los Angeles Dodgers (962) as they take on the Milwaukee Brewers in MLB action set to start at 4:10 PM ET.
Fundamental Matchups and Data Metrics Milwaukee will start a struggling Jimmy Nelson while the Dodgers start a highly tune Yu Darvish. Nelson has posted a 9.00 ERA and 2.200 WHIP over his last 3 starts spanning just 15 IP. Darvish has posted an impressive 2.50 ERA with a 1.111 WHIP over his last three starts spanning 18 IP and with 22 Ks. Dodgers were held scoreless in yesterday’s 3-0 loss to the Brewers. The Dodgers are 10-2 SU and 8-4 RL following a game where they were shutout at home since 2014. Further, Justin Turner was held hitless Saturday. The Dodgers are 12-1 SU after Turner was hitless in the previous game.
Advanced and Predictive Analytics Discussion Points
Dodgers are 45-14 (+24.7 Units) against the money line vs. NL teams scoring 4.5 or more runs/game this season. Dodgers are 87-34 (+35.2 Units) against the money line vs. teams whose hitters strike out 7 or more times/game this season. Dodgers are 58-17 (+31.9 Units) against the money line after having won 5 or 6 of their last 7 games this season. Dodgers are 55-16 (+30.1 Units) against the money line after having won 6 or 7 of their last 8 games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of machine learning ranging from combinatorial algorithms to decision trees and weighted simulations. 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. |
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08-26-17 | Cubs -193 v. Phillies | Top | 17-2 | Win | 100 | 10 h 45 m | Show |
The play and how to Play it: 7* graded play on the Chicago Cubs (903) as they take on Philadelphia in MLB action set to start at 7:05 PM ET. Cubs are lined just below -200, so this does open up the opportunity to use the combination wager and reduce risk without altering the ROI of this play. The recommended wager is to place a 5* amount using the line and add a 2* play using the - 1 ½ Run Line, which will be about -110 to -120.
Advanced and Predictive Analytics Discussion Points The following system has gone 229-80 hitting 74.1% winners and has made 86.8 units/unit wagered since 2013. Play on all NL favorites with a money line of -150 or more. With a starting pitcher posting an ERA is 3.70 or better on the season. Team is now facing an opponent with a starting pitcher that allows 0.5 or less HR/start. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cubs are 33-18 (+15.3 Units) against the money line in road games facing a starting pitcher that gives up 0.5 or less HR's/start over the last three seasons. Phillies are just 29-61 (-27.4 Units) against the money line against right-handed starters this season.
Methodology Discussion Points Kyle Hendricks is pitching very well posting a 2.16 ERA over his last three starts. He is not a dominating power starter, but he moves the ball well and is able to induce batters to swing at his pitches in favorable pitcher counts. This high performance level has been evident in his three career starts against the Phillies where he has posted a 2.61 ERA and a 0.822 WHIP.
If you are new to my service and wager methodologies, I utilize several methods of machine learning ranging from combinatorial algorithms to decision trees and weighted simulations. 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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08-25-17 | Rockies v. Braves -113 | Top | 2-5 | Win | 100 | 2 h 8 m | Show |
The play and how to Play it: 7* graded play on the Atlanta Braves (960) as they take on Colorado 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 45-19 hitting 70% winners and has made 26.4 units/unit wagered since 2013. Play on all teams when the money line is +125 to -125 (COLORADO) - after scoring and allowing 3 runs or less against opponent after a combined score of 15 runs or more. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Braves. |
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08-23-17 | Rangers +147 v. Angels | Top | 7-5 | Win | 147 | 5 h 11 m | Show |
The Play and how to Play it: 7* graded play on the Texas Rangers (973) as they take on the Los Angeles Angels in AL action set to start at 10:05 PM ET. Using the alternative Run Line often times can provide a very good opportunity for DOG plays. In this case we have the Rangers on the road and installed as modest +135 dogs. The Run Line is currently at + 1 ½ -170. The Alternative Run Line is a wager that Texas to win this game by two or more runs. When this line is published later today, it is expected to be about +230 to +250. So, if you have that line and level, the recommended strategy would be to create a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the Alternative Run Line. Advanced and Predictive Analytics Discussion Points The following game situations reinforce the this play on Texas. Texas is 71-51 (+28.3 Units) against the money line facing a team with a solid bullpen posting a WHIP of 1.250 or better in games played over the last two seasons. Take Texas. |
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08-21-17 | Rangers +136 v. Angels | Top | 5-3 | Win | 136 | 15 h 39 m | Show |
The Play and how to Play it: 7* graded play on the Texas Rangers (965) as they take on the Los Angeles Angels in AL action set to start at 10:05 PM ET. Using the alternative Run Line often times can provide a very good opportunity for DOG plays. In this case we have the Rangers on the road and installed as modest dogs. The Rune Line is currently at + 1 ½ -155. The Alternative Run Line would be for Texas to win this game by two or more runs and when available, the line is expected to be about +200 to +220. So, if you have that line and level, the recommended strategy would be to create a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the Alternative Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 53-27 hitting 66.2% winners and has made 37 units/unit wagered since 2013. The system has also averaged an impressive . Play on all favorites with a money line of -110 or higher. Team is batting .265 or lower for the season. Facing an AL starting pitcher posting an ERA 3.50 on the season.
This situation has gone 24-14 making 14.5 units over the past 3 seasons.
The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas starter Cole Hamels is 15-1 (+14.0 Units) facing AL teams scoring 4.4 or less runs/game in the second half of the season in games played over the last two seasons. Hamels is a solid 14-2 (+11.9 Units) facing an AL team with a batting average of .255 or worse in the second half of the season in games played the last two seasons. Hamels is a solid 27-8 (+19.7 Units) when facing teams that strike out 7 or more times/game in the second half of the season in games played over the last two seasons.
Take Texas. |
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08-18-17 | Blue Jays v. Cubs -167 | Top | 4-7 | Win | 100 | 2 h 28 m | Show |
The Play and how to Play it: 7* graded play on the Cubs as they take on in MLB action set to start at 2:20 PM ET. The recommended wager is a straight 7* amount using the money line. If you do have access to a -2 ½ run line, you may want to consider a combination wager consisting of a 5.5* amount using the money line and a 1.5* amount using the -2 ½ run line. The -2 ½ run line is currently in the +190 to +200 level and offers a very solid opportunity.
Advanced and Predictive Analytics Discussion Points The following system has gone 64-24 hitting 73% winners and has made 34 units/unit wagered since 1997. Play on any team. Off a loss to a division rival. Installed as a favorite of -150 or higher. The team has a win percentage between 51% to 54%. Facing an opponent with a win percentage between 46% to 49%. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cubs starter Arrieta is an outstanding 31-5 (+22.2 Units) against the money line after giving up two or fewer earned runs in his last two outings over the last three seasons. Toronto starter Happ is just 1-4 in 6 career starts against Cubs with a 5.52 ERA and a 1.935 WHIP. Cubs are batting 0.277 and scoring 5.9 RPG when facing a left-handed starter this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs. |
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08-15-17 | Cardinals v. Red Sox -150 | Top | 4-10 | Win | 100 | 1 h 59 m | Show |
The Play and how to Play it: 7* graded play on Boston (978) as they take on St. Louis in MLB action set to start at 7:10 PM ET. This is a straight 7* amount using the money line. Run Line does little to add any value or reduce risk to creating combination wager.
Fundamental Matchups and Data Metrics Jackie Bradley, Jr is coming off a game where he had no hits in a make-up game against Cleveland where the Red Sox lost 7-3. The Red Sox remain at home for the next five games with two against the Cardinals starting tonight and three more to finish out the week against the Yankees. The following grid shows what the Red Sox have done following a game where one of their key players was hitless in the game before. Remember that this is just one of many data sets that underscore the strength and quality of this wager opportunity. The Red Sox have gone 14-2 with an average line of -175 making 11.06 units/unit wagered in games following one where Bradley, Jr. had no hits and at least 2 AB. The ROI is 52% for these results. Advanced and Predictive Analytics Discussion Points The following system has gone 34-12 hitting 74% winners and has made 23.5 units/unit wagered since 1997. Play on home teams. Team is scoring between 4.4 to 4.9 runs/game. Facing an NL starter with an ERA of 3.70 or less.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Red Sox. |
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08-14-17 | Braves v. Rockies -131 | Top | 0-3 | Win | 100 | 9 h 58 m | Show |
The play and how to Play it: 7* graded play on Colorado (906) as they take on Atlanta in MLB action set to start at 8:40 PM ET. Not a validated situation to employ a combination wager for this game. Simply, wager a straight 7* play using the money line.
Advanced and Predictive Analytics Discussion Points The following query has produced games that are hitting 75%winners and have made 6.10 units/unit wagered since the start of the 2013 season. The system has also averaged an a -159 favorite. Game takes place after the All-Star break. Team has lost 4 or 5 of the last 5 games. Team is listed as a home favorite. Team has lost the two previous road games. This game is Game 1 of a series. Team has a winning record.
This query has produced a solid 17.1% ROI over the last 5 seasons. There have been two plays, both winning in 2017. Keep in mind that is just one query of many supporting ones and serves only to reinforce your understanding of why this is a strong wager opportunity. The following game situations match the SIM projections and my compiled research for the outcome of this game. Colorado is a solid 33-17 (+17.2 Units) against the money line with a team slugging percentage .400 or worse on the season (NL) this season. Colorado’s record in Bettis starts are a solid 20-6 (+15.3 Units) against the money line when playing against a team with a losing record over the last 3 seasons. Colorado’s record in Bettis starts are 21-10 (+14.0 Units) against the money line vs. teams averaging 2.75 or less extra base hits per game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rockies. |
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08-13-17 | Astros -138 v. Rangers | Top | 2-1 | Win | 100 | 4 h 16 m | Show |
The play and how to Play it: 7* graded play on Houston as they take on Texas in MLB action set to start at 3:05 PM ET. Houston is a road favorite at -135 currently. So, simply wager a 7* play using the money line. Although, we do have significant evidence suggesting that Houston will win this game by more than 1 runs, there is no supporting reasons to create a combination wager. So, the recommended play is a 7* amount using the money line.
Fundamental Matchups and Data Metrics Altuve was hitless in yesterday’s 8-3 loss at Texas. Houston has also lost five straight games and there is a bit of urgency to get a win today at Texas. The following table shows the results following a game where Altuve was hitless. This is ONLY one data query of numerous that support the play on Houston today. As you can see from the table, the Astros are 4-1 SU and 4-1 against the Run Line following a game where Altuve was hitless.
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston starter Keuchel’s team record is a solid 11-2 (+13.8 Units) against the money line facing an AL teams scoring 4.9 or more runs/game on the season. Houston is 42-21 (+15.6 Units) against the money line when the money line is -100 to -150 this season. Houston is 29-9 (+18.0 Units) against the money line on the road with a money line of -100 to -150 this season. Houston is 8-0 (+9.0 Units) against the money line in road games after a game where they had 4 or less hits over the last 2 seasons.
Regarding the last data set that is 8-0, the SU margin of victory was at least 2 runs in all but one game. |
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08-11-17 | Reds v. Brewers -183 | Top | 11-10 | Loss | -183 | 11 h 12 m | Show |
The play and how to Play it: 7* graded play on the Milwaukee Brewers as they take on in MLB action set to start at PM ET. Currently, the run lie is at +111 and this is an attractive level to consider a combination wager. That wager would be a 5* play using the money line and a 2* play using the run line. The 2* run line portion reduces the overall risk by a 1.22* amount (difference between -150 and +111 = 0.61*2=1.22). Now, the approximate probability that Milwaukee wins this game by more than 1 runs is 47%. Our work shows a much higher 58% probability that they will win by more than 1 run. So, you can see that by adding the 2* run line play, we are reducing risk without impacting the the total rate of return of the wager.
Fundamental Matchups and Data Metrics The following grid is the exact pitch data from Bailey’s last start and demonstrates the depth of our team research and database development. LWTS is an abbreviation for linear weighted outcomes by inning pitched in Bailey’s last start against St. Louis. The data shows that Bailey struggled mightily, especially in the 2nd and 4th innings where the LW stat reached very high levels. Breaking the data down by pitch, his fastball had a LWTS of 3.10 and reflects that pitch offering becoming batted balls in play. The SNIP (strikes not in play) was 46% and reflects the inability for Bailey to locate the fastball anywhere close to the strike zone. Bailey has an above average slider, but the Cardinals approach was clearly to sit on that pitch. He threw the slider 16 times, with Cardinal batters swinging 9 times and producing 5 base hits. Unfortunately, for Bailey, the inability to command and locate his fastball is the dominant reason he is 3-6 with an 8.86 ERA and a 2.06 WHIP this season. In two August starts, Bailey has posted a 10.61 ERA with 6 BB and 6 Ks in just 9 ⅓ innings of work. The two opponents have hit 0.368.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Brewers. |
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08-10-17 | Angels v. Mariners -171 | Top | 6-3 | Loss | -171 | 10 h 47 m | Show |
The play and how to Play it: 7* graded play on Seattle (918) as they take on the Los Angeles Angels in MLB action set to start at 10:10 PM ET. Recommended play is a straight 7* wager using the Money Line. The Run Line is currently at +105 and offers minimal value to creating a combination wager.
Advanced and Predictive Analytics Discussion Points The following system has gone 117-27 hitting 81% winners and has made 59 units/unit wagered since 1997. Play against road underdogs with a money line of +175 to +250. Team with a poor slugging percentage of 0.410 or less. Facing a very good AL starting pitcher posting a WHIP of 1.300 or less. With a starting pitcher that allows 0.5 or less HRs/start. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mariners. |
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08-09-17 | Dodgers -117 v. Diamondbacks | Top | 3-2 | Win | 100 | 14 h 38 m | Show |
The play and how to Play it: 7* graded play on the LA Dodgers (959) as they take on Arizona in MLB action set to start at 9:40 PM ET. The Run Line is borderline for level needed to validate the worthiness of a combination wager. The Run Line needs to be paying at least 135 to make sense for the combination wager that would be created with a 5* play on the money Line and a 2* play using the Run Line. If you can not get a minimum of +135 on your Run Line, then simply make this a straight 7* play using the money line.
Advanced and Predictive Analytics Discussion Points The following system has gone 41-11 hitting 79% winners and has made 28 units/unit wagered since 2013. Play on all NL favorites with a money line of -110 or higher. Allowing 3.5 or less runs/game on the season. Facing a top level team that is outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are 42-13 (+22.9 Units) against the money line vs. NL teams scoring 4.5 or more runs/game on the season this season. Arizona is just 8-19 (-14.5 Units) against the money line in home games facing power teams averaging 1.25 or more HR's/game over the last 2 seasons. Dodgers are 47-12 (+27.9 Units) against the money line after having won 4 or 5 of their last 6 games this season. Fundamental and Methodology Discussion Points Dodgers had a rare loss last night with Arizona hitting a grand slam late in the game to take the lead. Interesting that previous to that grand slam, Arizona had not hit a homerun in their previous three games and were the only team in MLB not to have one over that span. That minor stat did have a lot do with NOT having a play on the Dodgers last night. The Dodgers pitching and defense is by far the best in MLB. Over the last 7 games, opponents are batting 0.203 with a paltry 0.254 OBP and scoring just 2.4 RPG. Arizona is batting just 0.218 with a 0.298 OBP and scoring 4.0 RPG over their last 7 games. What is really alarming is that they have allowed opponents to average 5.4 RPG over their last 7 games. Arizona is battig 0.277 and scoring 5.8 RPG in 54 home games this season. However, they have hit just 0.249 and scored 4.6 RPG against LH starters. They face a very good LH starter tonight in Wood and we think he will dominate in this start.
If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers. |
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08-08-17 | Astros v. White Sox +1.5 | Top | 5-8 | Win | 135 | 13 h 56 m | Show |
7* graded play on the Chicago White Sox as they take on Houston in MLB action set to start at 8:10 PM ET. We also like making this a combination wager using a 5* play on the RL and a 2* play using the inflated money line.
Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, the CWS are today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics.
Advanced and Predictive Analytics Discussion Points The following system has gone 43-16 hitting 73% winners and has made 38 units/unit wagered since 1997. The system has also averaged a 126 DOG wager. Play on AL home teams. Team with a below average OBP of .320 or less. Facing a very good starting pitcher with a WHIP of 1.300 or better. The following game situations match the SIM projections and my compiled research for the outcome of this game. CWS are a stout 15-4 (+12.7 Units) against the money line in home games after 6 or more consecutive losses.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the CWS. |
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08-06-17 | Tigers v. Orioles OVER 10.5 | Top | 3-12 | Win | 101 | 4 h 33 m | Show |
7* graded play ‘OVER’ Detroit-Baltimore (918) in MLB action set to start at 1:35 PM ET. Fundamental Matchups and Data Metrics Detroit is 6-1 over their last 7 games, but are batting 0.257, which is nearly equal to their season batting average of 0.259. So, the winning is being accomplished through superior pitching. However, this recent trend is just not sustainable and this is a matchup where one of these teams may score 8 or more runs on their own merit. Detroit has allowed a poor 5.0 RPG for the season and a 0.269 opponent batting average. Over the last 7 games they have allowed just 3.0 RPG and an opponent batting average of 0.235. This game between recent and season-long data sets up the situation where the data projects a very high scoring game. Further, Detroit’s bullpen is pathetic posting a 6.44 ERA and a 1.582 WHIP in 56 road games. Sanchez is 2-2 and 5-0 ‘over’ in 5 career starts against Baltimore with a 5.85 ERA and a 1.553 WHIP. Jimenez is 6-12 in 22 career starts against baltimore with a poor 5.85 ERA and a 1.553 WHIP. Advanced and Predictive Analytics Discussion Points The following system has gone 40-14 hitting 74% winners and has made 25.3 units/unit wagered since 1997. Play ‘Over’ with a AL road team. With a starting pitcher whose ERA is 4.20 to 4.70 on the season. Facing an AL starting pitcher posting an ERA of 6.20 and higher. The following game situations match the SIM projections and my compiled research for the outcome of this game. Sanchez is a solid 26-10 OVER (+15.9 Units) facing teams who strand 6.9 or less runners on base per game over the last 3 seasons. Sanchez is 10-2 OVER (+8.1 Units) vs. an AL team with an on base percentage .320 or worse in the second half of the season over the last 2 seasons. Detroit is 27-10 OVER (+16.5 Units) in road games vs. an AL starting pitcher whose ERA is 6.90 or worse since 1997. Detroit is 19-5 OVER (+13.2 Units) after batting .200 or worse over a 3 game span over the last 2 seasons. Sanchez is 20-7 OVER (+12.8 Units) when the money line is +125 to -125 over the last 3 seasons. |
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08-06-17 | Padres v. Pirates -174 | Top | 4-5 | Win | 100 | 3 h 14 m | Show |
7* graded play on Pittsburgh (906) as they take on San Diego in MLB action set to start at 1:35 PM ET. Recommended Wagering Strategy Given that Pittsburgh is around a -180 favorite, the combination wager becomes a valid alternative to a straight 7* wager. The Run Line is currently at +115. So, consider a 4.5* amount using the money line and a 2.5* amount using the Run Line.
Advanced and Predictive Analytics Discussion Points The following system has gone 41-15 hitting 73% winners and has made 26 units/unit wagered since 2013. Play on any NL team. Average offensive team scoring 4.0 to 4.5 runs/game. Facing a below average starter posting an ERA between 5.20 to 5.70. And with an overused bullpen that pitches more than 3.2 innings per game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Pirates. |
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08-05-17 | Blue Jays v. Astros -171 | Top | 4-3 | Loss | -171 | 11 h 50 m | Show |
7* graded play on Houston (970) as they take on Toronto in MLB action set to start at 7:10 PM ET. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is a solid 65-34 (+19.6 Units) against the money line vs. teams whose hitters strike out 7 or more times/game this season. Houston is 41-18 (+18.4 Units) against the money line when the money line is -100 to -150 this season. Houston is 54-24 (+23.0 Units) against the money line against right-handed starters this season.
Houston had lost 5 of their last six games until last night’s 16-run barrage and blowout win over Toronto. We are on houston again, today. This pattern of a top-5 MLB team having gone through a losing period is akin to stock market corrections and price retracements. So, Houston surged and distanced themselves from all other divisional opponents and have steadily competed with the Dodgers for the top record in MLB. The recent losing ways are nothing more than a retracement of those summation of wins. If we chart win percentage, he Fibonacci series often times provides an area where we will expect the win percentage to resume rising over time. Based on this analytic alone, Houston is at that inflexion point and we see them winning far more games than losing over the next month.
Houston starter Charlie Morton started at Toronto on July 7 and went 6 IP allowing just 4 hits and 1 ER (home run). We expect another solid performance and a quality start at minimum from Morton tonight. Take Houston. |
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08-04-17 | Blue Jays v. Astros -162 | Top | 7-16 | Win | 100 | 13 h 17 m | Show |
7* graded play on the Houston Astros (922) as they take on Toronto Blue Jays in MLB action set to start at 8:10 PM ET. Recommended Wagering Strategies This game opened at Houston favored at -190 and the line has steadily declined to the -160/-165 area. The current line of -160 is very attractive and if you can get that line or possibly in the 150’s, then place a 7* amount at these levels. The combination wager, which would be a 5* play using the money line and a 2* play using the Money Line does not have as favorable a risk-reward profile as placing a 7* straight money line wager. If you have access to the -2 ½ Run Line, then consider placing an extra 2* amount on that line for a total of 9* amount of risk. This line is anticipated to be around +165. For our record keeping, we will be using a straight 7* money line wager.
Advanced and Predictive Analytics Discussion Points The following system has gone 108-32 hitting 77% winners and has made 59 units/unit wagered since 2013. Play against road underdogs with a money line of +100 or higher. With a slugging percentage of .500 or better over their last 3 games. Facing a starting pitcher posting an ERA less than 2.50 over his last 5 starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 65-33 (+21.0 Units) against the money line vs. teams whose hitters strike out 7 or more times/game this season. Toronto is just 18-31 (-17.1 Units) against the money line in road games after having won 2 of their last 3 games over the last 2 seasons. Houston is a solid 54-24 (+23.0 Units) against the money line against right-handed starters this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Houston Astros. |
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08-02-17 | Diamondbacks +151 v. Cubs | Top | 3-0 | Win | 151 | 5 h 51 m | Show |
7* graded play on Arizona (907) as they take on the Chicago Cubs in MLB action set to start at 8:05 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Arizona is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona starter Godley is a solid 19-10 (+11.4 Units) against the money line facing teams whose hitters strike out 7 or more times/game over the last 2 seasons. Chicago Cubs are just 11-17 (-16.1 Units) against the money line after a 5 game span where the bullpen ERA was 2.00 or better this season. Cubs are a money burning 10-14 (-12.3 Units) against the money line after 2 straight games where the bullpen gave up no earned runs this season. Cubs are an imperfect 0-6 (-12.8 Units) against the money line in home games after scoring 10 runs or more over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Arizona Diamondbacks. |
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08-01-17 | Blue Jays v. White Sox +213 | Top | 8-4 | Loss | -100 | 13 h 33 m | Show |
7* graded play on the Chicago White Sox (972) as they take on the Toronto Blue Jays in MLB action set to start at 8:10 PM ET. How to Play: The recommended play is to use a combination wager consisting of a 4.5* amount on the money line +180 and a 2.5* play using the Run Line, which is currently at + 1 ½ +115 vig. Playing it as a straight 7* amount using the money line is perfectly fine to execute too.
Advanced and Predictive Analytics Discussion Points The following system has gone 82-91 hitting 47% winners and has made 56.6 units/unit wagered since 2013. This system has averaged a very impressive +180 DOG play. Play on all dogs of +150 and higher. Team season batting average of less than 0.265. Team is batting 0.240 or worse over their last 20 games. Facing a solid AL starting pitcher with a 4.20 ERA or lower. Discussion Points This dog may seem to have no chance to win this game and of course the CWS may lose this game. However, our strategy is always focused on the long-term and we know that playing these types of large dogs will pay-off over the course of the season. Whether any play wins or loses or a day ends up a big winner or a real clunker, those results will never impact the decision making for the next day. “Turn the page” is one of my favorite coaching tools for every baseball team I have ever been associated with and it applies to my business practices as well.
Toronto is an imperfect 0-6 against the run line (-8.3 Units) vs. a starting pitcher whose lasts less than 5 innings per start this season. Toronto is a near-imperfect 1-11 against the run line (-11.6 Units) when playing with a day off this season. Stroman is 0-7 (-9.7 Units) against the money line in road games vs teams who strand 6.9 or less runners on base per game in the second half of the season over the last 2 seasons. Stroman is 0-7 (-9.7 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse in the second half of the season over the last 2 seasons. Toronto is 13-20 (-13.9 Units) against the money line when playing with a day off over the last 2 seasons.
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07-30-17 | Mets v. Mariners -226 | Top | 1-9 | Win | 100 | 5 h 35 m | Show |
7* graded play on Seattle (980) as they take on the NY Mets in MLB action set to start at 4:10 PM ET. How to Play: The recommended play is to use a combination wager consisting of a 5* amount on the money line and a 2* play using the Run Line, which is currently at -105 vig.
Advanced and Predictive Analytics Discussion Points The following system has gone 185-60 hitting 76% winners and has made 76 units/unit wagered since 2013. Home favorites with a money line of -150 or more (SEATTLE) - cold hitting team - batting .250 or worse over their last 20 games, starting a pitcher who walked |
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07-29-17 | Giants v. Dodgers -265 | Top | 1-2 | Win | 100 | 7 h 39 m | Show |
7* graded play on the Dodgers (902) as they take on San Francisco Giants in National League MLB action set to start at 4:05 PM ET. How to play this game To reduce risk and optimize the ROI, the recommended wager strategy is to place a 4* amount on the money line and a 3* amount on the Run Line. The RL is currently at -135, which reduces a large piece of the wager loss potential. Money line is -265 so a Dime play loses $2650, while the combination wager has a max loss of $1465. The probability is greater than 63% that the Dodgers win this game by more than 2 runs and a 85% probability that the margin of a Dodger victory will NOT be by 1 run. This may appear confusing at first. The first prediction is based on the game and that includes scenarios where the Giants can pull of the unexpected upset. The second prediction is ONLY if the Dodgers win. So, by using the combination wager, we have reduced the total risk exposure by $995.00 without a significant change in profit optimization.
Advanced and Predictive Analytics Discussion Points The following system has gone hitting winners and has made units/unit wagered since . The system has also averaged an impressive . The following game situations match the SIM projections and my compiled research for the outcome of this game. Giants are just 11-28 (-17.7 Units) against the money line vs. a starting pitcher whose gives up 5.5 or less hits/start this season. Giants are 7-23 (-14.7 Units) against the money line in road games vs. NL teams scoring 5 or more runs/game on the season over the last 2 seasons. Giants are 3-13 (-10.3 Units) against the money line in road games vs. a team with an excellent bullpen whose WHIP is 1.150 or better over the last 2 seasons. Giants are an imperfect 0-8 against the run line (-10.8 Units) in road games when playing against a top-level team winning 62%) or more of their games this season.
Fundamental Game Discussion Points As I had mentioned a few days ago, when the Dodgers had announced that Kershaw and McCarthy went on the 10-day DL, the Dodgers offense has come to life and is more than offsetting the loss of these two starters. The Dodgers have scored 6 runs exact on their last four games and had scored 6 or more runs in just one game between July 23 and July 16. This has not been a shocking prediction as the Dodgers offense is already quite good and will only get better.
Seager leads the Majors in Home Run percentage and all of the starters rank above the average starter at their position. As a team, they rank 3rd in the NL in runs scored, 3rd in doubles, 4th in home runs, and first in walks. The Dodger offense is a constant threat in any inning against any pitching staff and we continue to believe the offense will continue to score runs above their season average. |
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07-28-17 | Astros v. Tigers +141 | Top | 6-5 | Loss | -100 | 5 h 47 m | Show |
7* graded play on Detroit (972) as they take on Houston (971) in MLB action set to start at 7:10 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Detroit is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Now, let’s take a closer look at the supporting Black Jack system. Advanced and Predictive Analytics Discussion Points The following system has gone 51-21 hitting 71% winners and has made 35 units/unit wagered since 2013. Play against road teams. With a hot starting pitcher sporting a WHIP of 1.100 or lower over his last 10 games. After a game where the bullpen was hit hard for 4 or more earned runs. This system is a perfect 3-0 making 3.2 units and 29-13 making 19.2 units over the last three seasons. The spreadsheet below shows the results for when the Houston Astros lost a game by at least 8 runs, used four pitchers, and playing on the road since 2013. The ROI for this query has produced a very nice 21%.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Detroit Tigers. |
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07-26-17 | Brewers +116 v. Nationals | Top | 5-8 | Loss | -100 | 12 h 36 m | Show |
7* graded play on Milwaukee as they take on Washington in MLB action set to start at PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Milwaukee is today’s edition of the ‘Upset Alert’ Titan. Playing all of these “+140 dogs” and hit even 50%, for example, our cash balances will grow steadily throughout the season.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 43-26 hitting 62% winners and has made 37 units/unit wagered since 2013. The system has also averaged an impressive 146 dog play. Play against NL home favorites with a money line of -110 or higher. Home team has a starting pitcher with an ERA is 3.70 or better on the season. With a team slugging percentage of .440 or better on the season.
Key Situations Brewers are 31-18 (+21.3 Units) against the money line after having lost 5 or 6 of their last 7 games over the last 2 seasons. Brewers are 18-7 (+17.5 Units) against the money line after having lost 6 or 7 of their last 8 games over the last 2 seasons. Nationals are just 3-8 (-10.1 Units) against the money line in home games after having won 4 or 5 of their last 6 games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Milwaukee Brewers. |
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07-25-17 | Twins v. Dodgers -1.5 | Top | 2-6 | Win | 120 | 15 h 23 m | Show |
7* graded play on the Los Angeles Dodgers (930) using the Run Line as they take on Minnesota in MLB action set to start at 10:10 PM ET. Recommended Wagering Strategy The current money line is about -175 with some books at -171 and others higher at -178. The Run line is currently at -1.5 +125. So, a combination of these two lines offers an way to optimize the ROI and minimize the risk. This ROI optimization is not beneficial to the user for just one game, however, if it is adopted over the course of the season it will add more profits. So, for this play, the combination wager is optimized ONLY if you have access to the -2 ½ Run Line, which we anticipate to be lined at + 180. If the -2 ½ is not available, then simply wager a 7* amount on the Run Line. If the -2 ½ run line is available, then wager a 4.5* amount using the Run Line and a 2.5* amount using the -2 ½ Run Line.
Fundamental Matchups and Data Metrics Despite losing Clayton Kershaw for 4 to 6 weeks and Brandon McCarthy (blister), the Dodgers are in position to maintain at least ‘500’ ball over the next few weeks. More on this a bit later in the report.
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Twins are just 25-44 against the run line losing 30.4 Units when facing a team with a good bullpen whose ERA is 3.45 or better over the last 2 seasons. Dodgers are a solid 42-22 against the run line making 18.7 Units facing an overused bullpen that pitches more than 3.2 innings per game this season. Dodger starter Maeda is a perfect 6-0 against the run line making 6.7 Units in home games vs. teams whose hitters strike out 7 or more times/game this season.
Team Discussion Points Dodgers have the offense to offset the loss of Kershaw and McCarthy. They are currently batting 0.271 with a 0.351 OBP and 0.830 OPS over their last seven games. Minnesota does not have near the fire-power batting 0.254 with a 0.327 and 0.723 OPS over their last seven games. The biggest advantage for the Dodgers is their bullpen. The relief boys have produced a 2.92 ERA with a 1.082 WHIP allowing just 96 walks while striking out 371 batters. In 54 home games they have been even better with a 2.32 ERA and a 0.982 WHIP allowing 52 walks and recording 199 K’s spanning 186 innings of work. The bullpen is also 12-2 in home games. Twins bullpen is largely inconsistent posting a 4.69 ERA with a 1.446 WHIP allowing 121 walks and recording 273 Ks spanning 343 ⅔ innings of work. Between the offense and the bullpen, the Dodgers will be nearly always competitive in every game played moving forward. The following list of games show that the Dodgers are 7-3 in games played in 2017 where they were in a tied game through six innings. This is not all that relevant for a single game, but does reflect how strong the bullpen has been this season. I rarely state subjective opinions in these reports, but the The ‘Next Man Up’ motto will be apparent for this Dodgers team moving forward. |
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07-23-17 | Brewers v. Phillies -111 | Top | 3-6 | Win | 100 | 2 h 29 m | Show |
7* graded play on Philadelphia (904) as they take on Milwaukee in MLB action set to start at 1:35 PM ET. SIM algorithm shows a high probability that will win this game. Fundamental Matchups and Data Metrics Milwaukee was the leader in the NL Central at the break, but have since lost 6 of 9 games including a four-game losing sweep at Pittsburgh. The Brewers remain the leaders, but the Cubs are just 1-game behind and Pittsburgh has surged to being just 3-games behind. Milwaukee leads the majors in offensive strikeouts and this has been a big reason for their losing ways. Since the Break, the Brewers have had a minimum of 9 K’s per game and 8 straight games with 10 or more. Until, they exercise discipline and reduce the number of swings on balls outside the strike zone, this trend will continue indefinitely. Phillies starter Eickhoff had a solid 2016 season with several KPI in the NL top-10 list. However, he has struggled in 2017 with a 1-7 record and 4.83 ERA. In 3 years of professional service, he has posted a solid 3.80 ERA and averaging 8 K’s per start. Eikhoff is showing significant signs of returning to that 2016 form. Over his last two starts he has recorded 30 strikes looking and 24 strikes swinging and missing. Milwaukee’s free-swinging batters will be to his liking this afternoon.
Advanced and Predictive Analytics Discussion Points The following system has produced a 45-19 record hitting 70% winners and has made 27 units/unit wagered since 1997. Play on all NL teams (home and away). Money line is +125 to -125. With a starting pitcher winning less than 30% of his starts. Facing an opponent with a starting pitcher whose WHIP is 1.450 to 1.550 on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Always note when the situation reflects the power of the dog in units won and not win percentage. Phillies are a solid 37-28 (+19.4 Units) against the money line after having won 3 of their last 4 games over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Phillies. |
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07-22-17 | Braves v. Dodgers -230 | Top | 2-6 | Win | 100 | 13 h 46 m | Show |
7* graded play on Dodgers as they take on the Braves in MLB action set to start at 9:10 PM ET. Recommended Wagering Strategy Given the large amount of wood needed to be paid on the Dodgers, a combination wager is the preferred strategy to offset risk and maintain a strong risk-reward profile. The combination wager is in two parts consisting of a 4.5* play on the Run Line and a 2.5* play on the money line. An alternative strategy is to use the - 2 ½ run line. This strategy is in three parts with a 4* play on the Run Line, a 2* play on the money line and a 1* play using the -2 ½ Run Line.
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 41-20 against the run line (+20.6 Units) facing an overused bullpen that pitches more than 3.2 innings per game this season. Dodgers are 49-12 (+29.9 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Tehran is 9-24 (-16.2 Units) against the money line in night games over the last 2 seasons. Dodgers are 37-11 (+20.4 Units) against the money line after having won 4 or 5 of their last 6 games this season.
Player Focus Admittedly, this is just a single piece of anecdotal evidence that does support the Dodgers, but it may reflect a reason to put Corey Seager on your daily fantasy team today. Seager was hitless in last night’s loss. The Dodgers are 28-7 following a game where Seager had no hits since being called up in September 2015. So, far this season, Seager has had 13 hitless games and the Dodgers are 11-2 in the next game for strong 31% ROI. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers. |
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07-22-17 | Cardinals +145 v. Cubs | Top | 2-3 | Loss | -100 | 5 h 7 m | Show |
7* graded play on St. Louis as they take on the Chicago Cubs in MLB action set to start at 4:05 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, St. Louis is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and advanced analytics. Now, let’s examine the game situations that qualify for the ‘Black Jack’ system. Advanced and Predictive Analytics Discussion Points The following system has gone 83-34 hitting 71% winners and has made 57 units/unit wagered since 1997. Play against NL home teams. With a starting pitcher whose ERA is 3.70 to 4.20 on the season. Following a game where the bullpen was hammered for 6 or more earned runs.
Arrieta pitched well, but the bullpen put in a horrific performance. The Cubs bullpen issued 8 walks and 9 earned runs. Carl Edwards entered the game to start the 7th inning and did not record an out issuing 2 walks, and allowing 3 ER. Next, Rondon entered and he too, did not record an out issuing 2 walks and allowing 4 ER. The Cubs had a 3-2 lead in the top of the 7th inning and allowed NINE earned runs.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cardinals.
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07-21-17 | Red Sox v. Angels +184 | Top | 6-2 | Loss | -100 | 15 h 36 m | Show |
7* graded play on the Angels (926) as they take on Boston in AL action set to start at 10:07 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, the Angels are today’s edition of the ‘Upset Alert’ DOG. Playing all of these “+140 dogs” and hit say 52%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of supporting systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 38-26 hitting 59% winners and has made 38.4 units/unit wagered since 2013. The system has also averaged an impressive 170 DOG.
Play on all AL underdogs. Money line of +150 or more. Team slugging percentage . of 410 or worse on the season. After a win by 6 runs or more.
For the 2017 season, the system by itself has gone 4-4 and made an impressive 3.3 units in profits. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Angels and look for the upset. |
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07-20-17 | Padres +173 v. Giants | Top | 5-2 | Win | 173 | 8 h 16 m | Show |
7* graded play on San Diego as they take on San Francisco in MLB action set to start at 10:10 PM ET. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, San Diego is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 52%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following ‘Black Jack’ system has gone 37-34 hitting just 52% winners, but has made 41.1 units/unit wagered since 2013. The system has also averaged an impressive +203 DOG. Play on road underdogs. Money line of +175 to +250. Team has a terrible OBP of .300 or less. Facing a very good NL starting pitcher with a WHIP greater than 1.250. With an overused bullpen that pitches more than 3.2 innings per game. The following game situations match the SIM projections and my compiled research for the outcome of this game. San Diego is a solid 13-6 (+12.4 Units) against the money line vs. an NL team with a team batting average of .245 or worse this season. San Francisco is just 12-27 (-19.5 Units) against the money line when playing against a team with a losing record this season. San Francisco is just 9-26 (-22.0 Units) against the money line vs. teams whose hitters draw 3 walks or less/game this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board San Diego. |
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07-18-17 | Cubs -106 v. Braves | Top | 5-1 | Win | 100 | 15 h 55 m | Show |
7* graded play on the Chicago Cubs (959) as they take on the Atlanta Braves in NL MLB action set to start at 7:35 PM ET. How to Play One of the dominant keys to profitability is being able to combine and optimize the money line, run line, alternate run lines, and the -2 1.2 run lines. For this game, we recommend a 5* amount using the money line and a 2* amount using the Run Line, which is currently trading at -1.5 +110. If you have access to the -2 ½ Run Line, then consider making a 4.5* amount using the money line, 1.5* amount using the Run Line and a 1* amount using the -2 ½ Run Line. The -2 ½ Run Line is expected to open at around +160/+165. So, if you are playing $100 per ‘*’ unit, the wager is $450 on the money line, $150 on the Run Line, and $100 using the -2 ½ Run Line.
Advanced and Predictive Analytics Discussion Points The following system has gone 60-15 hitting 80% winners and has made 35.7 units/unit wagered since 2013. The system has also averaged an impressive . Play against home underdogs. Money Line of +125 or more. Overused bullpen that pitches more than 3.2 innings per game. Starting pitcher sporting a WHIP of 2.000 or higher over his last three starts. Fundamental Matchups Braves starter Sean Newcomb has been hammered in his last two starts allowing 11 ER, 14 hits, 6 BB, and 9 Ks spanning 7 ⅔ innings of work. His WHIP is a horrifying 2.61 over those last two starts. His third last start was a quality start completing 6 innings and allowing zero earned runs, but it was against the hapless hitting Padres. He is basically a two pitch (FB/Curve) starter with a 93-94 fastball and a78-80 MPH curveball. The following grid shows his pitch stats for his last start. SNIP is strikes Not In Play and do not include any balls in play.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs.
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07-17-17 | Cubs -154 v. Braves | Top | 4-3 | Win | 100 | 13 h 30 m | Show |
7* graded play on the Cubs (909) as they take on the Braves in MLB action set to start at 7:35 PM ET. Recommended Wagering Strategy In situations like this one, we like making these 7* wagers combination wagers that are designed to optimize the ROI for the opportunity. In this game, consider making a 5* play using the Money Line and a 2* play using the Run Line. The current Run Line is - 1 ½ + 110 and offers a more efficient way to reduce overall risk and increase total return of the 7* amount.
Advanced and Predictive Analytics Discussion Points The following system has gone 125-54 hitting 70% winners and has made 53.6 units/unit wagered since 1997. Play on all NL favorites with a money line of -110 or higher (CHICAGO CUBS) with a starting pitcher whose ERA is 4.20 to 4.70 on the season and with that starting pitcher struggling over his last 3 starts posting an ERA of 7.50 and higher. The following game situations match the SIM projections and my compiled research for the outcome of this game. Atlanta starter Tehran is just 6-19 (-15.1 Units) against the money line in home games vs. teams whose hitters strike out 7 or more times/game over the last 2 seasons. Tehran is a money burning 6-21 (-17.1 Units) against the money line in home games over the last 2 seasons. Tehran is a near imperfect 1-9 (-9.6 Units) against the money line in home games after giving up 2 or fewer earned runs in his last 2 outings over the last 2 seasons. Lester has posted a 2.14 ERA and a 1.166 WHIP against the Braves.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs. |
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07-16-17 | Nationals v. Reds +107 | Top | 14-4 | Loss | -100 | 6 h 57 m | Show |
7* graded play on Cincinnati ((52) as they take on Washington in MLB action set to start at 1:10 PM ET. Fundamental Matchups and Data Metrics
Advanced and Predictive Analytics Discussion Points The following system has gone 143-73 hitting 66.2% winners and has made 60 units/unit wagered since 2013. Play against NL road teams (WASHINGTON) with a team batting average of .275 or better on the season. Here is a second system that has produced 35.8 units/unit wagered playing against NL road teams (WASHINGTON) with a team batting average of .275 or better on the season, hot hitting team batting .280 or better over their last 20 games. Here is a third system that has made 23.3 units with a 31015 record good for 67% winners since 1997. Play against road favorites with a money line of -110 or higher (WASHINGTON) with a cold starting pitcher posting a WHIP of 2.000 or higher over his last 5 starts, with an on base percentage of .350 or better over their last 20 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Washington is just 15-21 (-18.3 Units) against the money line in day games this season. Reds are a solid 20-13 (+7.6 Units) against the money line in home games against right-handed starters this season.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds. |
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07-09-17 | Tigers v. Indians -203 | Top | 5-3 | Loss | -203 | 10 h 50 m | Show |
7* graded play on Cleveland (924) as they take on Detroit in MLB action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Cleveland will win this game by at least 2 runs. How to play: We suggest making this a combination wager consisting of 5.5* play using the Run Line and a 1.5* play using the Money Line. If you have access to a -2 ½ alternate line, then we like a 5* play using the Run Line and 2* play using the -2 ½ alternate Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 50-8 hitting 86% winners and has made 35 units/unit wagered since 1997. Play on all favorites with a money line of -175 to -250 (CLEVELAND) average hitting team batting 0.265 or less and with a hot starting pitcher posting a WHIP of no higher than 1.100 over his last 10 games and is now facing a good AL starting pitcher posting an ERA of 4.20 or less. The following game situations match the SIM projections and my compiled research for the outcome of this game. Detroit is 12-25 (-14.8 Units) against the money line vs. a starting pitcher that allows 5.5 or less hits/start this season. Detroit is 10-22 (-14.1 Units) against the money line vs. an AL starting pitcher whose WHIP is 1.300 or better this season. Cleveland is an amazing 18-2 (+16.2 Units) against the money line after 2 straight wins by 4 runs or more over the last 2 seasons.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Cleveland tonight. |
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07-09-17 | Astros +102 v. Blue Jays | Top | 19-1 | Win | 102 | 6 h 32 m | Show |
7* graded play on Houston (913) as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Houston will win this game. Fundamental Matchups and Data Metrics
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 18-5 (+11.3 Units) against the money line in road games when playing against a team with a losing record this season. Houston is 20-7 (+11.3 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse this season. Houston is 35-14 (+16.4 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Houston is 19-3 (+14.3 Units) against the money line facing terrible speed teams averaging 0.35 or less SB's/game this season. Toronto is 6-12 (-13.2 Units) against the money line in home games vs teams who strand 6.9 or less runners on base per game this season. Houston is 19-5 (+14.0 Units) against the money line on the road when the money line is +125 to -125 this season. Houston is 32-10 (+20.5 Units) against the money line in road games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston.
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07-08-17 | Orioles v. Twins -111 | Top | 5-1 | Loss | -111 | 2 h 50 m | Show |
7* graded play on Minnesota (966) as they take on Baltimore in MLB action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly.
We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Orioles are just 2-13 (-11.4 Units) against the money line in road games vs. a team with a poor bullpen whose ERA is 4.20 or worse this season. Orioles are 9-26 (-16.0 Units) against the money line in road games vs. teams whose hitters strike out 7 or more times/game this season.
Manny Machado had a big game last night, but is very alarming at what has occurred in the next game. Orioles are 4-13 SU for a -52% ROI in games following a game where Manny Machado had more than 1 RBI during the 2017 season.
We look at key hitters on teams that will have hitless nights and also extreme performance results mainly for the build of our fantasy data repository, which will be launched ahead of the NFL and NCAAF seasons. In this game, with Baltimore fading, it becomes even more critical and meaningful when a star player has a direct impact on the result of the game. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Minnesota. |
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07-08-17 | Astros +113 v. Blue Jays | Top | 2-7 | Loss | -100 | 2 h 42 m | Show |
7* graded play on Houston as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Houston will win this game. Fundamental Matchups and Data Metrics
Advanced and Predictive Analytics Discussion Points The following system has gone 84-38 hitting 69% winners and has made 44 units/unit wagered since 2013. Play on road teams (HOUSTON) that are hot hitting teams batting .280 or better over their last 20 games, with a hot starting pitcher posting a WHIP less than 1.000 over his last 5 starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 18-5 (+11.3 Units) against the money line in road games when playing against a team with a losing record this season. Houston is 20-7 (+11.3 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse this season. Houston is 35-14 (+16.4 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Houston is 19-3 (+14.3 Units) against the money line facing terrible speed teams averaging 0.35 or less SB's/game this season. Toronto is 6-12 (-13.2 Units) against the money line in home games vs teams who strand 6.9 or less runners on base per game this season. Houston is 19-5 (+14.0 Units) against the money line on the road when the money line is +125 to -125 this season. Toronto is just 1-8 (-9.7 Units) against the money line after allowing 9 runs or more this season.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston. |
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07-07-17 | Royals v. Dodgers UNDER 9 | Top | 1-4 | Win | 100 | 15 h 12 m | Show |
7* graded play on the ‘UNDER’ in the Dodgers - Kansas City (930-929) game set to start at 10:10 PM ET. SIM algorithm shows a high probability that fewer than 8 runs will be scored in this game.
Fundamental Matchups and Data Metrics Looking at our 30-year MLB database, we know that teams that have won 13 or more of their last 16 games are 195-149-17 ‘UNDER’ producing a solid ROI of 14.3 percent since 2012. Adding in home game and home team is favored by at least -180 produces a 41-23-2 ‘UNDER’ record and a very strong 24% ROI. Add in the team filter and Dodgers and we see that they are 7-1 ‘under’ in this validated situation.
Starting pitchers in this matchup are coming off poor starts, bt here again the facts pulled out of the DB clearly support the ‘UNDER’. In games where both starters are coming off non-quality starts (a quality start is 6 IP and allowing 3 or fewer earned runs) and with a home team line of at least 180 favorite have produced a 46-29 ‘UNDER’ mark and a very nice 17.7% ROI.
Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. KC is a solid 37-19 UNDER (+15.7 Units) in road games when playing against a team with a winning record over the last 2 seasons. KC is 43-23 UNDER (+16.4 Units) vs. teams outscoring opp by 0.5 or more runs/game on the season over the last 2 seasons. Dodgers are 44-24 UNDER (+16.9 Units) in home games vs teams who strand 6.9 or less runners on base per game over the last 2 seasons.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’. |
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07-06-17 | Diamondbacks v. Dodgers -151 | Top | 4-5 | Win | 100 | 15 h 38 m | Show |
7* graded play on the Dodgers (960) as they take on Arizona in NL MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game. Fundamental Matchups and Data Metrics Dodgers have been amazing during this first half of the season and are without a doubt the best team in the NL and perhaps in all of baseball. Arizona, though, is just 4 ½ games back of the Dodgers and are the second-best team in the NL.
Over the past five seasons, there have been two other occasions where a MLB team won 22 of their last 26 games as the Dodgers have done. One was in 2013 and it was the Dodgers again and the other was the Rays in 2013.
The following games show 2017 occurrences where a team won 13 or more of their last 16 games, are playing their next game at home and the line is a favorite of at least -150. These teams are 9-3 producing a 14.3% ROI. Location Team Starter Opponent Opponent Score Result O-U Result Line Total home Yankees Michael Pineda - R Orioles Ubaldo Jimenez - R 12-4 W O -175 9 home Astros Brad Peacock - R Angels Matt Shoemaker - R 4-9 L O -165 8.5 home Astros David Paulino - R Angels Jesse Chavez - R 6-12 L O -170 9.5 home Dodgers Alex Wood - L Rockies Kyle Freeland - L 6-1 W U -225 8 home Dodgers Clayton Kershaw - L Rockies Tyler Chatwood - R 4-0 W U -255 7 home Diamondbacks Randall Delgado - R Phillies Jeremy Hellickson - R 2-1 W U -174 10 home Dodgers Brandon McCarthy - R Rockies Tyler Anderson - L 12-6 W O -170 8.5 home Diamondbacks Zack Greinke - R Phillies Nick Pivetta - R 6-1 W U -240 8.5 home Dodgers Rich Hill - L Angels Ricky Nolasco - R 0-4 L U -215 9 home Dodgers Kenta Maeda - R Angels Jesse Chavez - R 4-0 W U -220 8 home Dodgers Clayton Kershaw - L Diamondbacks Patrick Corbin - L 4-3 W P -210 7 home Dodgers Alex Wood - L Diamondbacks Zack Godley - R 1-0 W U -225 7.5 home Dodgers Rich Hill - L Diamondbacks Robbie Ray - L -160 7.5 Advanced and Predictive Analytics Discussion Points The following system has gone 39-11 hitting 78% winners and has made 25.6 units/unit wagered since 2013. Play on all NL favorites with a money line of -110 or higher. Allowing 3.5 or less runs/game on the season. Against an opponent that is a top level team outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 30-10 (+17.1 Units) against the money line facig NL teams scoring 4.5 or more runs/game this season. Dodgers are 44-12 (+21.8 Units) against the money line as a favorite of -150 or more this season. Dodgers are 32-11 (+15.4 Units) against the money line after having won 4 or 5 of their last 6 games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers. |
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07-05-17 | Diamondbacks v. Dodgers UNDER 7.5 | Top | 0-1 | Win | 100 | 15 h 53 m | Show |
7* graded play ‘UNDER’ in the LA Dodgers - Arizona Diamondbacks matchup in NL MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that fewer than 8 runs will be scored in this game. Advanced and Predictive Analytics Discussion Points The following system has gone 40-13 hitting 76% winners and has made 76% units/unit wagered since 2013. Play ‘under’ with home teams (LA DODGERS) during the month of July having won 12 or more of their last 15 games. If we make site equal to ‘any’ then record is still quite solid at 57-21 producing a 35% ROI since 2013. If we add back the home venue and filter only Dodger games we get an amazing 12-2-1 ‘UNDER’ record good for 86% winners. Jul 08, 2013 away Dodgers Zack Greinke - R Diamondbacks Randall Delgado - R 6-1 W U -105 9 Jul 09, 2013 away Dodgers Ricky Nolasco - R Diamondbacks Ian Kennedy - R 6-1 W U 103 9 Jul 10, 2013 away Dodgers Hyun Jin Ryu - L Diamondbacks Tyler Skaggs - L 7-5 W O 100 9 Jul 11, 2013 home Dodgers Chris Capuano - L Rockies Drew Pomeranz - L 6-1 W U -160 8 Jul 12, 2013 home Dodgers Clayton Kershaw - L Rockies Juan Nicasio - R 0-3 L U -255 6.5 Jul 24, 2013 away Dodgers Ricky Nolasco - R Blue Jays Esmil Rogers - R 8-3 W O 100 9.5 Jul 25, 2013 home Dodgers Zack Greinke - R Reds Mat Latos - R 2-5 L P -118 7 Jul 26, 2013 home Dodgers Clayton Kershaw - L Reds Homer Bailey - R 2-1 W U -177 6.5 Jul 27, 2013 home Dodgers Hyun Jin Ryu - L Reds Bronson Arroyo - R 4-1 W U -125 7.5 Jul 28, 2013 home Dodgers Chris Capuano - L Reds Tony Cingrani - L 1-0 W U -102 7.5 Jul 30, 2013 home Dodgers Zack Greinke - R Yankees Andy Pettitte - L 3-2 W U -165 7 Jul 31, 2013 home Dodgers Clayton Kershaw - L Yankees Hiroki Kuroda - R 0-3 L U -180 6 Jul 01, 2017 away Dodgers Rich Hill - L Padres Dillon Overton - L 8-0 W U -210 8.5 Jul 02, 2017 away Dodgers Kenta Maeda - R Padres Jhoulys Chacin - R 3-5 L P -195 8 Jul 04, 2017 home Dodgers Clayton Kershaw - L Diamondbacks Patrick Corbin - L 4-3 W P -210 7 Jul 05, 2017 home Dodgers Alex Wood - L Diamondbacks Zack Godley - R -215 8 Jul 06, 2017 home Dodgers Rich Hill - L Diamondbacks Robbie Ray - L The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona is a solid 22-10 UNDER (+11.0 Units) vs. NL teams scoring 4.5 or more runs/game on the season this season. Dodgers are a solid 14-4 UNDER (+9.6 Units) when playing against a top-level team winning at least 62% of their games this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’. |
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07-05-17 | Padres v. Indians -220 | Top | 6-2 | Loss | -220 | 13 h 38 m | Show |
7* graded play on Cleveland (926) as they take on San Diego in MLB action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Cleveland will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 37-12 hitting 76 % winners and has made units/unit wagered since 1997. Any AL team (CLEVELAND) AL offensive team scoring 4.4 to 4.9 runs/game. Slugging percentage of .370 or worse over their last 10 games. Against an average NL starter sporting an ERA of 4.20 to 5.20. The following game situations match the SIM projections and my compiled research for the outcome of this game. San Diego is 4-16 (-12.5 Units) against the money line when playing against a team winning between 54% to 62% of their games in 2017. San Diego is 17-57 (-30.7 Units) against the money line in road games vs. a starting pitcher whose strikes out 5 or more batters per start over the last 3 seasons. Francona is 56-23 (+23.1 Units) against the money line vs. teams outscored by opp by 0.5 or more runs/game in the second half of the season as the manager of the Indians. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Indians. |
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07-04-17 | Diamondbacks v. Dodgers -283 | Top | 3-4 | Win | 100 | 13 h 39 m | Show |
10* graded play on the LA Dodgers (960) using the Run Line as they take on the Arizona Diamondbacks in MLB action set to start at 9:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game by at least 2 runs. Fundamental Matchups and Data Metrics Kershaw is why we are on this game. He is coming off a splendid outing striking out 12 batters with three straight in the first inning. In games following a start where he fanned 9 or more batters and threw less than 115 pitches his team record is a perfect 22-0 SU and 15-7 against the Run Line. Moreover, the ‘Under’ is whopping 17-4 in these games. In these 22 games, he has allowed 0.86 runs per start. How to Wager We recommend a 7* play using the Run Line, which is currently at -145. If you have access to the -2 ½ run line, add a 3* play, which will be listed as a modest dog payout. Last, consider an optional 5* parlay using the Run Line and the ‘Under’. Advanced and Predictive Analytics Discussion Points The following system has gone 87-21 hitting 81% winners and has made 47.4 units/unit wagered since 2012. Play against all NL underdogs with a money line of +150 or more (ARIZONA) with a low on-base percentage of 0.350 or less) against a team with a good bullpen (WHIP of 1.350 or better), hot hitting team batting .280 or better over their last 20 games. Here is a second system that has gone 47-13 for 78% winners and has made 25 units/unit wagered since 2012. Play against all underdogs with a money line of +150 or more (ARIZONA) top level team, outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Arizona is just 8-22 against the run line (-18.5 Units) vs. good defensive catchers - allowing 0.5 or less SB's/game in the second half of the season over the last 2 seasons. Arizona is 12-31 against the run line (-20.6 Units) vs. a starting pitcher whose gives up 1 or more HR's/start over the last 2 seasons. The Dodgers are a solid 37-19 against the run line (+16.1 Units) vs. good defensive catchers - allowing 0.5 or less SB's/game this season. Dodgers are 9-2 against the run line (+8.2 Units) in home games after 2 straight games where they committed no errors this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers boxed with Kershaw. |
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07-04-17 | Orioles v. Brewers -140 | Top | 2-6 | Win | 100 | 8 h 18 m | Show |
7* graded play on Milwaukee (976) as they take on Baltimore in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game. Fundamental Matchups and Data Metrics Adam Jones and Manny Machado went hitless in yesterday’s drubbing in Game 1 of this 3-game set. Orioles have all but fallen out of contention in the AL East given that they teams above them in the standings are all simply better teams. Orioles rank second worst in run differential. More glaring was their fielding circus allowing a runner, who over ran third base to actually score a run. Milwaukee is the surprise team in the NL Central with a 2.5 game lead over the Cubs. They rank third having hit 127 home runs and a team with solid chemistry. Advanced and Predictive Analytics Discussion Points The following system has gone 43-16 hitting 73% winners and has made 25 units/unit wagered since 2012. The system has also averaged an impressive 136 DOG wager. Play against any team (BALTIMORE) AL team with a terrible OBP of 0.310 or less against a very good NL starting pitcher (WHIP of 1.250 or less), starting a pitcher who gave up 1 or less earned runs last outing. The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is a solid 20-13 (+9.8 Units) against the money line vs. a team with a poor bullpen whose ERA is 4.20 or worse this season. Baltimore is just 54-86 (-30.8 Units) against the money line in road games vs teams who strand 6.9 or less runners on base per game over the last 3 seasons. Jimenez is just 6-18 (-14.2 Units) against the money line in road games in July games since 1997. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Brewers. |
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07-03-17 | White Sox +116 v. A's | Top | 7-2 | Win | 116 | 14 h 1 m | Show |
7* graded play on the CWS (915) as they take on the Oakland A’s in MLB action set to start at 9:05 PM ET. SIM algorithm shows a high probability that CWS will win this game. Fundamental Matchups and Data Metrics Oakland is showing the signs of a team heading in the wrong direction and a team that has struggled essentially all season. They rank 28th in team batting average, 28th in hits-per-game, and 29th in K-game. They do hit home runs, but that is about it, quite frankly. The CWS are a strong hitting team ranking 10th in team batting average, 11th in hits-per-game, and 8th in BABIP (Batting average of ball in play). Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Oakland is just 69-95 (-29.1 Units) against the money line when playing against a team with a losing record over the last 3 seasons. Oakland is 16-31 (-14.8 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Oakland is 44-57 (-32.1 Units) against the money line as a home favorite of -110 or higher over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the White Sox. |
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07-02-17 | Twins +125 v. Royals | Top | 2-6 | Loss | -100 | 7 h 17 m | Show |
7* graded play on Minnesota (975) as they take on Kansas City in AL action set to start at 2:15 PM ET. SIM algorithm shows a high probability that the Twins will win this game. Fundamental Matchups and Data Metrics Wood starts for the Royals and he did compete for a SP position during Spring Training. He has steadily come out of the bullpen and it took until now for him to adjust to the reliever role. Now, after not throwing more than 49 pitches in any appearance this season, management is expecting him to start. This is extremely hard for any pitcher to transition successfully and we expect him to get roughed up early in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is a solid 19-7 (+17.0 Units) against the money line in road games vs. an AL team with a team batting average of .260 or lower this season. Minnesota is 15-6 (+13.9 Units) against the money line in road games vs. good fielding teams averaging 0.6 or fewer errors/game this season. Minnesota is 19-8 (+16.0 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse this season. Minnesota is 21-12 (+14.6 Units) against the money line on the road when the total is 8.5 to 10 this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins. |
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07-01-17 | Cubs v. Reds -101 | Top | 3-5 | Win | 100 | 7 h 33 m | Show |
7* graded play on the Cincinnati Reds (908) as they take on in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Reds will win this game. We also have a 5* play on the ‘over’ in this game. How to Play: Our recommendation is to play a 7* play on the Reds and the ‘Over’. Next, consider making a 5* parlay with the Reds and the ‘over’ and if available add a 3* play using the Reds with the alternate run line and the ‘over’. Fundamental Matchups and Data Metrics We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 53-33 hitting 62% winners and has made 32.8 units/unit wagered since 1997. The system has also averaged an impressive +124 DOG play. Play on home underdogs with a money line of +100 or higher (CINCINNATI) that are good offensive teams scoring 4.7 runs/game or more against a decent NL starting pitcher posting an ERA between 3.70 to 4.20), with an overused bullpen that pitches more than 3.2 innings per game.
Supporting the ‘OVER’ play is a system that has gone 61-18 for 77% winners since 1997. Play ‘over’ with home teams (CINCINNATI) good NL offensive team scoring 4.7 or more runs/game against a team with a very good bullpen posting an ERA of 3.33 or lower, after shutting out their opponent. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds and the ‘OVER’.
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06-30-17 | Braves v. A's -160 | Top | 3-1 | Loss | -160 | 14 h 44 m | Show |
7* graded play on Oakland (980) as they take on the Braves in MLB action set to start at 10:05 PM ET. SIM algorithm report data illustrates conclusively that Oakland has a high probability of winning this game. Fundamental Matchups and Data Metrics Oakland is a power hitting team that ranks 11th in MLB in Slugging percentage and eighth in isolated hitting power. There is a metric coined secondary batting average , which accounts for power, and shows that Oakland ranks 8th in that ratio. Atlanta ranks 28th in secondary BA and 24th in slugging percentage. Atlanta starter Mike Foltynewicz is not a strikeout type pitcher, which has given Oakland trouble this season. Instead, his style augments the power in the Oakland lineup. He has posted a 6.91 ERA with a 2.024 WHIP and allowing 22 hits in his last three starts spanning just 14 ⅓ innings. Advanced and Predictive Analytics Discussion Points Braves have been playing well over the past several weeks, but are now in a difficult to win situation. So far in 2017, teams that have won at least 7 of their last 10 games and are now installed as 135 or higher dogs are 14-37 for 27.5% and have lost 15.55 units averaging a 162 dog. These results produce a -30.5 ROI. In May alone, this situation occurred 23 times and the play against team went a horrid 3-20 for 13% winners and losing 15.6 units for a horrifying -68% ROI.
Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Oakland.
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06-28-17 | A's +168 v. Astros | Top | 8-11 | Loss | -100 | 13 h 58 m | Show |
7* graded play on Oakland (971) as they take on Houston in MLB action set to start at 8:10 PM ET. SIM algorithm shows a high probability that Oakland will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Oakland is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 27-12 hitting 69% winners and has made 24.6 units/unit wagered since 1997. The system has also averaged an impressive 136 DOG play. Play against AL home favorites with a money line of -125 to -175 that is a top-level offensive team scoring 5.4 runs/game or more and is now facing a decent starting pitcher posting an ERA between 4.20 to 4.70, with a starting pitcher whose WHIP is 1.400 to 1.500 on the season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Oakland A’s. |
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06-27-17 | Twins +179 v. Red Sox | Top | 2-9 | Loss | -100 | 12 h 21 m | Show |
7* graded play on Minnesota (915) as they take on Boston in MLB action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Minnesota is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 101-109 hitting only 48% winners and has made an incredible 80.5 units/unit wagered since 1997. The system has also averaged an impressive 188 Dog Play. Play against home favorites with a money line of -175 to -250 (BOSTON) starting a pitcher who gave up 2 or fewer earned runs in his last 2 outings against an opponent with a cold starting pitcher sporting an ERA of 7.00 or higher over his last five starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is a perfect 6-0 (+8.9 Units) against the money line in road games when playing against a good team winning between 54 and 62% of their games this season. Minnesota is 16-5 (+15.4 Units) against the money line in road games vs. AL teams allowing 4.4 or less runs/game on the season this season. Minnesota is 20-8 (+17.6 Units) against the money line as a road underdog of +100 or higher this season. Pomerantz is a horrid 2-10 (-10.5 Units) against the money line at home when the total is 10 or higher since 1997. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins. |
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06-25-17 | Rockies v. Dodgers -151 | Top | 6-12 | Win | 100 | 6 h 14 m | Show |
7* graded play on the Dodgers as they take on Colorado in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game. Fundamental Matchups and Data Metrics Dodgers and Clayton Kershaw defeated the Rockies 4-0 Saturday night. Kershaw had to throw 33 pitches to get out of a bases loaded 1-out jam in the first inning. In only what few SP can do at this level, Kershaw completed 6 innings on 103 pitches and got the job more than done. Dodgers are truly having fun and the chemistry couldn’t be better. They rank just 15th in team batting average, but are first with 152 doubles. Having a talent like Puig batting 7th in this lineup makes it one of the best in the Majors. Team pitching has been incredible and it is not just due to Kershaw. The team pitching ranks first in ERA, 4th in saves, 1st in hits allowed, third in HR allowed (would be first if not for the higher number of bombs that Kershaw has allowed), and first in strikeouts. The now have 50 wins and are the best team in the NL. They have won nine straight games and have not missed a beat with Gonzalez and Seager on the 10-day DL. In fact,m they have won 16 of the last 17 games and have lost at home just 10 times this season and lost just three home games since May 18. Advanced and Predictive Analytics Discussion Points The following system has gone 86-21 hitting 80.4% winners and has made 46.4 units/unit wagered since 2012. Play against all NL underdogs with a money line of +150 or more (COLORADO) with a low on-base percentage of .350 or less and is now facing a team with a good bullpen posting a WHIP of 1.350 or lower and a team batting .280 or better over their last 20 games. The following game situations match the SIM projections and my compiled research for the outcome of this game. Dodgers are a solid 36-8 (+24.5 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Dodgers are 42-13 (+25.3 Units) against the money line in home games vs. NL teams scoring 4.5 or more runs/game on the season over the last 2 seasons. Dodgers are 19-3 (+15.2 Units) against the money line in home games after allowing 2 runs or less 2 straight games over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Dodgers. |
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06-25-17 | Reds +138 v. Nationals | Top | 6-2 | Win | 138 | 5 h 0 m | Show |
7* graded play on Cincinnati ( 903) as they take on in Washington MLB action set to start at 1:35 PM ET. SIM algorithm shows a high probability that Cincinnati will win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Cincinnati is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Feldman is a perfect 7-0 (+8.7 Units) against the money line on the road when the total is 10 to 10.5 since 1997. Washington is just 13-18 (-15.3 Units) against the money line in day games this season. Reds have fallen on very hard times having lost 12 of their last 13 games and were hammered in Saturday’s game. However, this is a one-game situation we have identified where the lie is providing extra value given that the public will be betting heavily on the Nationals. Washington won 18-5 Saturday. Teams that have scored 18 or more runs in a game and playing at home with the a line of at least -150 in the next game are 8-8 and losing n incredible 9.4 units/unit wagered since 2004. The Nationals are 4-7 losing 4.2 units in the game following one where they scored 15 or more runs. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds. |
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06-24-17 | Mets +102 v. Giants | Top | 5-2 | Win | 102 | 11 h 56 m | Show |
7* graded play on the Mets (959) as they take on the Giants in MLB action set to start at 7:15 PM ET. SIM algorithm shows a high probability that the Mets will win this game. Fundamental Matchups and Data Metrics Mets have been playing terrible baseball and last night’s win ended a 4-game losing streak. However, the Giants are playing even worse and are 22-games under 500 for the season. The Mets bullpen is horrific posting a 6.64 ERA and a 1.732 WHIP in 32 road games spanning 105 ⅔ innings of work. DeGrom starts tonight and we are will to bet that the bullpen will be needed for just 1 and perhaps 2 innings maximum. DeGrom has pitched 17 innings over his last two starts allowing just 1 ER and eight hits. We expect a similar effort against a very weak hitting Giants lineup. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Giants are just 7-21 (-16.1 Units) against the money line vs. an NL team with a team batting average of .250 or worse this season. Giants are 11-24 (-17.1 Units) against the money line vs teams who strand 6.9 or less runners on base per game this season. 10-24 (-16.1 Units) against the money line vs. an NL team with an on base percentage .325 or worse this season. Giants are 11-23 (-16.9 Units) against the money line when the money line is -100 to -150 this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mets. |
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06-23-17 | Brewers v. Braves +100 | Top | 4-5 | Win | 100 | 12 h 2 m | Show |
7* graded play on Atlanta (906) as they take on Milwaukee in MLB action set to start at 7:10 PM ET. SIM algorithm program results point towards Atlanta winning this game. Fundamental Wagering Scenarios We also like making this opportunity a combination wager consisting of a 5* play using the money line and a 2* play using the Run Line. The must-have is that the RL must be offering the DOG side of the line. Current lines are showing a 1 ½ line for the host Braves and this would not work for this wager. If your book offers the alternate run line, then you will be able to get the dog side, which we estimate will be -1 ½ + 165 at minimum. The Braves allowed more than 10 runs and used five pitchers to earn their way to yesterday’s 12-11 win. They scored 8 runs in the fifth inning and had to hold on as Giants scored 3 runs in the 8th and 3 runs in the ninth. However, since 2004, teams that used 5 or more pitchers, allowed 10 runs, and still got the win are 50-32 making 10 units with a -133 average line and a solid 9.1% ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Foltynewicz is 10-1 against the run line (+10.8 Units) in home games vs. an NL team with they batting average of .255 or worse over the last 3 seasons. Foltynewicz is 7-0 against the run line (+9.2 Units) in home games vs teams who strand 6.9 or less runners on base per game over the last 2 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Braves. |
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06-21-17 | Red Sox v. Royals OVER 9.5 | Top | 4-6 | Win | 100 | 7 h 34 m | Show |
10* graded play ‘OVER’ the posted total in the Boston - Kansas City game set to start at 2:15 PM ET. SIM algorithm shows a high probability that more than 10 runs will be scored in this game. Fundamental Matchups and Data Metrics We did play on KC and starter Ian Kennedy in his last start with great success. Kennedy took a perfect game into the 6th inning. However, he is 1-4 with a 7.75 ERA over his last seven starts and Boston is arguably the best hitting team in the Majors. Boston has had 10 or more hits in four straight games and going against Kennedy lends support that this will be the fifth straight game. Pomerantz is a solid starter and has averaged a 3.84 ERA over his 7-year career. However, this season he is getting hit more often and allowing more runs posting an ERA of 4.19. Moreover, he has posted a K/9 ratio of 11.8 in his home games and a much lower 8.8 K/9 in road starts this season. This implies more batted balls in play and more hits and scoring opportunities. Advanced and Predictive Analytics Discussion Points The following system has gone 45-19 hitting 70% winners and has made 26 units/unit wagered since 2012. Play ‘OVER’ the posted total with AL home teams where the total is 9 to 9.5 (KANSAS CITY) and is a poor hitting team batting that is batting .260 or less and with a starting pitcher whose WHIP is 1.300 or better on the season and is now facing an opponent with a good starting pitcher posting an ERA of 4.20 or less. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’ for this afternoon matchup. |
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06-19-17 | Padres v. Cubs -220 | 2-3 | Win | 100 | 13 h 10 m | Show | |
7* graded play on Chicago Cubs (908) as they take on San Diego in MLB action set to start at PM ET. SIM algorithm shows a high probability that the Cubs will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 173-54 hitting 76% winners and has made 75.4 units/unit wagered since 2012. Play on home favorites with a money line of -150 or more (CHICAGO CUBS) cold hitting team batting .250 or worse over their last 20 games and starting a pitcher who walked 1 or no hitters each of his last 2 outings. This system has gone 12-2 making 8.4 units this season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Lester is a solid 26-5 (+18.2 Units) against the money line facing an NL team with a team batting average of .250 or worse over the last 3 seasons. (Team's Record) Padres are 17-55 (-28.7 Units) against the money line in road games vs. a starting pitcher whose strikes out 5 or more batters per start over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs. |
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06-18-17 | Mariners v. Rangers -186 | Top | 7-3 | Loss | -186 | 7 h 21 m | Show |
7* graded play on Texas (974) as they take on Seattle in MLB action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Texas will win this game. Fundamental Matchups and Data Metrics Advanced and Predictive Analytics Discussion Points The following system has gone 55-13 hitting 81% winners and has made 37.1 units/unit wagered since 2012. Play against all AL underdogs with a money line of +100 or higher (SEATTLE) with a starting pitcher whose ERA is 5.70 to 6.20 for the season and has posted an ERA at 7.50 or higher over his last three starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas is a solid 19-7 (+12.6 Units) against the money line when playing against a marginal losing team with a win percentage between 46% to 49% in games played over the last 2 seasons. Texas is 73-47 (+31.1 Units) against the money line vs. good fielding teams averaging less than 0.6 errors/game over the last 2 seasons. Texas is 17-5 (+9.8 Units) against the money line as a favorite of -110 or higher this season. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rangers. |
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06-16-17 | Royals +112 v. Angels | Top | 3-1 | Win | 112 | 14 h 8 m | Show |
7* graded play on Kansas City (952) as they take on Los Angeles Angels in MLB action set to start at 10:05 PM ET. SIM algorithm shows a high probability that Kansas City will win this game. Fundamental Matchups and Data Metrics The Royals are fighting back and won their last three series including AL-Best Houston. They swept a 2-game set in SF before winning the first game of this four-game series against the Angels. Ian Kennedy is winless and he is not pitching at a solid MLB-level. He did post a 6 inning start allowing 4 ER, 2 BB, and 5 Ks in his last start. We believe all he needs to get is first win is a similar start tonight. Chavez has the ball for the Angels and he was hammered in his last start allowing 6 ER with 4 BB in just 3 ⅔ innings of work. The Royals team momentum will carry Kennedy to his first win tonight. Advanced and Predictive Analytics Discussion Points The following system has gone 88-47 hitting 65% winners and has made 39.7 units/unit wagered since 1997. Play against all teams when the money line is +125 to -125 (LA ANGELS) with a starting pitcher that gives up 1 or more HR's/start against opponent with a starting pitcher who is winless after 5 or more starts. The following game situations match the SIM projections and my compiled research for the outcome of this game. Chavez is just 4-14 (-12.0 Units) against the money line vs. teams whose hitters draw 3 walks or less/game over the last 3 seasons. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Royals. |
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06-10-17 | Reds +226 v. Dodgers | Top | 4-5 | Loss | -100 | 5 h 15 m | Show |
7* graded play on Cincinnati (959) as they take on the Dodgers in MLB action set to start at 10:10 PM ET. SIM algorithm shows a high probability that Cincinnati can win this game. Fundamental Matchups and Data Metrics When the SIM shows, for example, that team A has a 62% probability of winning, it is also dependent on the current line. The goal is always to achieve optimal risk/reward opportunities. So, if Team A is lined at -175 favorite, a 62% projection does not have a solid risk/reward profile when compared a 62% probability aligned with a +140 DOG. In this game today, Cincinnati is today’s edition of that identified DOG. Playing all of these “+140 dogs” and hit say 62%, for example, our cash balances will have a great chance of increasing significantly. We have a large set of systems that we have coined The BlackJack Systems drawing on the popular casino game. In the game of BlackJack players have essentially a 50% probability of winning or losing money. However, these BJ systems hit in excess of 50% and produce significant amounts of profits over extended periods of time and multiple seasons. So, let’s construct an example where a system that has gone 60-60 averaging a +140 DOG play. If you played the same number of BJ hands as games wagered (125), you would have made $0 playing $100 per hand. However, if you had played this system, you would have made $8400 from the wins and lost $6000 from the losses, for a net profit of $2400 wagering $100 per hand. This is one of the near-countless reasons our team focuses on identifying the DOGS produced by the SIM and then reinforced by strong matchup fundamentals and other advanced analytics. Advanced and Predictive Analytics Discussion Points The following system has gone 79-75 hitting 51.3% winners and has made 75.2 units/unit wagered since 1997. The system has also averaged an impressive 190 dog play. Play against NL home favorites with a money line of -175 to -250 (LA DODGERS) with a starting pitcher whose ERA is 3.00 or better on the season, with a hot bullpen whose ERA is under 1.50 the last 5 games. Methodology Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds. |
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