Date | Match Up | Rating | Score | Result | Profit | Lead Time | Analysis |
---|---|---|---|---|---|---|---|
05-03-17 | Mets v. Braves +140 | Top | 16-5 | Loss | -100 | 13 h 57 m | Show |
7* graded play on the Atlanta Braves (956) as they take on the NY Mets in MLB action set to start at 7:10 PM ET. We had the Braves yesterday in their high scoring win over the Mets. This was a 9-3 game till the Mets scored 4 in the top of the 9th to make it look far closer than it really was. We write about Matt Harvey and his loss of control and velocity and it showed up even more last night. He has allowed 6 ER in 2 straight starts, which he has never had occur in his career. We are sports fans here at John Ryan Sports and we truly hope there is not an underlying injury with Harvey and the Mets can ill afford another loss to the starting rotation that showed so much promise in Spring Training. SIM algorithm shows a high probability in excess of 80% that Atlanta will win this game. The projections also show a poor performance late in the game by the Mets bullpen. That unit has been terrible to say the least as they have posted a lofty 6.09 ERA and a 1.714 WHIP in 11 road games spanning 44 1/3 innings of work. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Mets are just |
|||||||
05-02-17 | Mets v. Braves +105 | Top | 7-9 | Win | 105 | 13 h 7 m | Show |
7* graded play on Atlanta (902) as they take on the NY Mets in MLB action set to start at 7:35 PM ET. SIM algorithm shows a high probability that Atlanta will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 126-50 hitting 71.6% winners and has made 57.4 units/unit wagered since 1997. 6-13 (-12.4 Units) against the money line as a favorite of -110 or higher this season. Harvey’s team reord is |
|||||||
05-01-17 | Rangers +188 v. Astros | Top | 2-6 | Loss | -100 | 13 h 36 m | Show |
7* graded play on Texas (967) as they take on Houston in MLB action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Texas will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 hitting 75% winners and has made units/unit wagered since 2012. The system has also averaged an impressive +112 DOG considering it wins 75% of the time. Play on road underdogs in May with a money line of +150 or more (TEXAS) and is a below average AL hitting team batting 265 or worse against a team with a good bullpen posting an ERA of 3.75 or less. The following game situations match the SIM projections and my compiled research for the outcome of this game. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rangers tonight. |
|||||||
05-01-17 | Capitals v. Penguins -120 | Top | 3-2 | Loss | -120 | 12 h 21 m | Show |
7* graded play on Pittsburgh (14) as they take on Washington in Game 3 of their best-of-seven Eastern Conference Semifinals set to start at 7:30 PM ET. SIM algorithm shows a high probability that Pittsburgh will win this match. Advanced and Predictive Analytics Discussion Points The following system has gone 98-37 hitting 73% winners and has made 45.7 units/unit wagered since 1996. 21-3 against the money line (+16.5 Units) in home games against good starting goalies saving >= 91.5% of shots against this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Penguins. |
|||||||
04-30-17 | Phillies v. Dodgers -188 | Top | 3-5 | Win | 100 | 6 h 21 m | Show |
7* graded play on the LA Dodgers (912) as they take on Philadelphia Phillies in MLB action set to start at 4:10 PM ET. SIM algorithm shows a high probability that LA will win this game and complete the sweep. Advanced and Predictive Analytics Discussion Points The following system has gone 162-52 hitting 76% winners and has made 68 units/unit wagered since 2012. |
|||||||
04-30-17 | Jazz v. Clippers -3.5 | Top | 104-91 | Loss | -105 | 7 h 35 m | Show |
7* graded play on the Clippers (722) as they take on Jazz in NBA action set to start at 3:30 PM ET, Sunday, April 30. SIM algorithm shows a high probability that the Clippers will win this game by more than 4 points. Advanced and Predictive Analytics Discussion Points Somehow, the Clippers have staged Game-7 without having Blake Griffin. They obviously have adjusted and Chris Paul is playing with the heart of a Champion. Utah fids themselves not shooting well at all in their last 2 games. Teams in the playoffs that have shot less than 43.5% in 2 straight games and now go onto the road after having lost at home are 22-31 ATS since 2003. In 2017, this set of conditions is 2-0 ATS and 6-2 ATS over the L2 playoff seasons. On April 16, the Thunder were crushed by the Rockets 118-87 installed as 7 point dogs. On April 26, the Bulls lost in Boston 108-97 installed as 8 point dogs. The following game situations match the SIM projections and my compiled research for the outcome of this game. Utah is a near-imperfect 5-14 ATS (-10.4 Units) when they allow 100 to 105 points in a game this season. Utah is 17-31 ATS (-17.1 Units) as a road underdog over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Clippers and see them advance to the next round with this Game-7 win. |
|||||||
04-29-17 | Rangers v. Senators +115 | Top | 5-6 | Win | 115 | 4 h 30 m | Show |
7* graded play on Ottawa (56) as they take on the NY Rangers in game 2 of their best-of-seven Eastern Conference Semifinal set to start at 3:00 PM ET. SIM algorithm shows a high probability that Ottawa will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Ottawa is 13-7 against the money line (+10.7 Units) against good teams - outscoring their opponents by 0.3+ goals/game this season. Ottawa is 29-25 against the money line (+13.6 Units) as an underdog this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Senators. |
|||||||
04-29-17 | Orioles v. Yankees -1.5 | Top | 4-12 | Win | 120 | 6 h 0 m | Show |
10* graded play on the NY Yankees (966) as they take on the Baltimore Orioles using the Run Line in AL East action set to start at 1:05 PM ET. SIM algorithm shows a high probability that the Yankees will win this game. We also like using an alternative combination ager consisting of a 3.5* play using the money line and a 6.5* play using the Run Line. The current RL is – 1 ½ +115, so this offers an optimized ROI when combined with the 3.5* play using the money line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Yankees are 20-9 against the run line (+14.1 Units) in home games vs. a starting pitcher whose lasts less than 5 innings per start as the manager of NY Yankees. So, teams that scored 4 or more runs against the bullpen than the starter are 59-52 against the Run Line making 30.54 units/unit wagered ($3,054 per $100 wager) since 2012. The play has averaged a +140 Run Line and that alone is why this situation is credible and proven money maker. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Yankees. |
|||||||
04-29-17 | Rays +112 v. Blue Jays | Top | 1-4 | Loss | -100 | 4 h 9 m | Show |
7* graded play on Tampa Bay (967) as they take on Toronto in MLB action set to start at 1:05 PM ET. SIM algorithm shows a high probability that the Rays will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 79-52 hitting 60.3% winners and has made 52.8 units/unit wagered since 2012. The system has also averaged an impressive +133 dog play, which also matches the current lines we are seeing this morning. 3-10 (-10.6 Units) against the money line vs. an overused bullpen that pitches more than 3.2 innings per game this season. Toronto is 4-13 (-12.8 Units) against the money line when the money line is -100 to -150 over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rays. |
|||||||
04-28-17 | Clippers +5.5 v. Jazz | Top | 98-93 | Win | 100 | 39 h 25 m | Show |
7* graded play on the Clippers (507) as they take on Jazz in NBA action set to start at 10:35 PM ET, Friday, April 28. SIM algorithm shows a high probability that the Clippers will lose this game by fewer than 4 points and has a great shot at getting the elimination game win and sending the series back to LA for the deciding game-7. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 146-176 hitting 45% winners and has made 63.7 units/unit wagered since 2012. The system has also averaged an impressive +164 DOG play as well. These systems are simply the most powerful money generators. When dealing with the money line, win percentage means essentially zero and units won means essentially almost everything. The following game situations match the SIM projections and my compiled research for the outcome of this game. Clippers are 10-24 against the money line (-22.6 Units) when they allow 100 to 105 points in a game over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Clippers Friday night. |
|||||||
04-27-17 | Yankees v. Red Sox -170 | Top | 3-0 | Loss | -170 | 12 h 41 m | Show |
7* graded play on Boston (966) as they take on the NY Yankees in AL East action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Boston will win this game. 41-8 Advanced and Predictive Analytics Discussion Points The following system has gone 41-8 hitting 83.7% winners and has made 27.7 units/unit wagered since 2012. 13-31 (-16.6 Units) against the money line in road games against division opponents over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Red Sox tonight. |
|||||||
04-27-17 | Raptors v. Bucks -1.5 | Top | 92-89 | Loss | -110 | 12 h 50 m | Show |
7* graded play on Milwaukee (502) as they take on Toronto in NBA action set to start at 7:00 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game by at least 5 points and will cover the spread easily. Advanced and Predictive Analytics Discussion Points The following system has gone 54-21 hitting 72% winners and has made 25.9 units/unit wagered since 1996. Play against r14-5 ATS (+8.5 Units) in home games when their opponents make 43% to 47% of their shots in a game this season. Milwaukee is 43-26 ATS (+14.4 Units) where both teams score 99 or less points in a game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board |
|||||||
04-25-17 | Grizzlies +10 v. Spurs | Top | 103-116 | Loss | -105 | 13 h 16 m | Show |
7* graded play on Memphis (703) as they take on San Antonio in NBA playoff action set to start at 9:00 PM ET. SIM algorithm shows a high probability that Memphis will lose this game by fewer than 8 points and has a shot at getting the key Game-5 win. will win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 144-50 hitting 74% winners and has made 58.4 units/unit wagered since 2012. Play against any team using the money line (SAN ANTONIO) revenging 2 straight losses where opponent scored 100 or more points, off a loss against a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. Memphis is a solid 16-7 ATS (+8.3 Units) as an underdog of 3.5 to 9.5 points this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Memphis and expect the upset win. |
|||||||
04-25-17 | Reds +111 v. Brewers | Top | 1-9 | Loss | -100 | 12 h 13 m | Show |
7* graded play on the Reds (903) as they take on Milwaukee in MLB action set to start at 7:40 PM ET. SIM algorithm shows a high probability that the Reds will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is just 10-28 (-16.0 Units) against the money line in home games vs. an NL starting pitcher whose WHIP is 1.150 or better over the last 3 seasons. Starting Pitching and Team Metrics We really like Amir Garrett and especially in this matchup. He has made 3 starts and has posted a strong 1.83 ERA with a 0.864 WHIP with just 3 BB and 21 Ks in 19 2/3 innings of work. The big surprise for the Reds has been their bullpen. Although overused to date by many standard metrics, they have posted a 1.48 ERA and a 0.986 WHIP in 6 road games spanning 24 1/3 innings of work.
Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds. |
|||||||
04-23-17 | Nationals -148 v. Mets | Top | 6-3 | Win | 100 | 12 h 14 m | Show |
7* graded play on Washington (963) as they take on the NY Mets in NL East action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Washington will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 82-41 hitting 67% winners using the Run line and has made 37.9 units/unit wagered since 2012. The system has also covered the Run Line by more than 1 extra run in 58% of these games. Play against NL home teams against a 1.5 run line (NY METS) average offensive team (4.0 to 4.5 runs/game) against a very good starter (ERA |
|||||||
04-23-17 | Indians -184 v. White Sox | Top | 2-6 | Loss | -184 | 6 h 28 m | Show |
7* graded play on the Cleveland Indians (967) as they take on the Chicago White Sox in AL action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Cleveland will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Cleveland is a solid 10-2 (+8.9 Units) against the money line in road games vs. AL teams allowing 3.9 or less runs/game on the season over the last 2 seasons. Cleveland is 58-31 (+20.3 Units) against the money line vs. AL teams allowing 4.4 or less runs/game on the season over the last 2 seasons. Cleveland is 61-28 (+24.9 Units) against the money line when the total is 8 to 8.5 over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board |
|||||||
04-23-17 | Cubs -168 v. Reds | Top | 5-7 | Loss | -168 | 5 h 21 m | Show |
7* graded play on the Cubs (951) as they take on the Reds in NL Central action set to start at 1:10 PM ET. SIM algorithm shows a high probability that the Cubs will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 43-11 hitting 80% winners and has made 24.7 units/unit wagered since 2012. Play against all underdogs with a money line of +150 or more (CINCINNATI) with a top level team, outscoring opponents by 1 or more runs/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Cubs are a solid 42-19 (+21.9 Units) against the money line vs. a team with a very good bullpen whose ERA is 3.00 or better over the last 3 seasons. Reds are just 12-47 (-26.6 Units) against the money line vs. a starting pitcher whose strikes out 5 or more batters per start over the last 2 seasons. Reds are 9-27 (-19.2 Units) against the money line in home games after having lost 6 or 7 of their last 8 games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs. |
|||||||
04-23-17 | Cavs v. Pacers +4 | Top | 106-102 | Push | 0 | 5 h 48 m | Show |
7* graded play on Indiana (510) as they take on Cleveland in NBA playoff action set to start at 1:00 PM ET. SIM algorithm shows a high probability that Indiana will win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 43-18 hitting 71%winners since 2012. Play on any team (INDIANA) off a home loss against a division rival against opponent off a win against a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. CLV is just 7-16 ATS (-10.6 Units) when their opponents make 39% to 45% of their 3 pointers in a game this season. CLV is 11-22 ATS (-13.2 Units) when they allow 106 to 111 points in a game over the last 2 seasons. Indiana is a solid 12-3 ATS (+8.7 Units) when they grab 4 to 9 more rebounds than their opponents in a game this season. Indiana is 15-5 ATS (+9.5 Units) when they score 106 to 111 points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Pacers. Pacers blew a league-record 25-poit lead in game 3 and you would think that they would really have no motivation for this game. Not so fast, as teams that have blown 14 or greater point leads in home playoff games are 13-5 in the next game. |
|||||||
04-22-17 | Canadiens -102 v. Rangers | Top | 1-3 | Loss | -102 | 6 h 8 m | Show |
7* graded play on Montreal (51) as they take on NY Rangers Game 6 of their best-of-seven playoff series set to start at 8:05 PM ET. SIM algorithm shows a high probability that Montreal will win this game and send the series back to Montreal for the deciding Game 7. Advanced and Predictive Analytics Discussion Points The following system has gone 27-6 hitting 82% winners and has made 20.2 units/unit wagered since 1996. Play on road teams when the money line is -100 to -150 (MONTREAL) revenging 2 straight close losses vs opponent by 1 goal or less, a marginal winning team (51% to 60%) playing a winning team in the 2nd half of the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Rangers are just 11-17 against the money line (-13.7 Units) in home games against poor defensive teams - opponents average 29.5+ shots on goal this season. Rangers are 4-10 against the money line (-9.8 Units) in home games against poor defensive teams - opponents average 29.5+ shots on goal in the 2nd half of the year this season. Rangers are 5-13 against the money line (-13.3 Units) in home games against poor defensive teams allowing 29 or more shots on goal, convert 17% or more of their pp opportunities this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Montreal. |
|||||||
04-22-17 | Indians -210 v. White Sox | 7-0 | Win | 100 | 5 h 23 m | Show | |
7* graded play on the Cleveland (917) as they take on CWS in MLB action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Cleveland will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Cleveland is a solid10-2 (+8.9 Units) against the money line in road games vs. AL teams allowing 3.9 or less runs/game on the season over the last 2 seasons. Cleveland is 17-5 (+13.2 Units) against the money line in road games vs. an AL team with a team batting average of .255 or worse since 1997. (Team's Record) Cleveland is 93-48 (+32.7 Units) against the money line when the total is 7 to 8.5 over the last 2 seasons. Cleveland is 20-8 (+13.4 Units) against the money line after 4 or more consecutive wins over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cleveland Indians. CWS are a very weak hitting team right now and have scored 4 or more runs in just 3 of their 15 games, and batting a horrid 0.213 on the season. Further, they send out a highly suspect Mike Pelfry to the hill to fend off a vastly superior offensive lineup in the Indians. Further, Cleveland starts Carlos Cattasco, who sports a stout 2.33 ERA with a 0.931 WHIP and 19 Ks in three starts spanning 19 1/3 innings of work. |
|||||||
04-22-17 | Raptors v. Bucks -2 | Top | 87-76 | Loss | -108 | 6 h 38 m | Show |
10* graded play on Milwaukee (502) as they take on Toronto in Game 4 of their best-of-seven playoff series set to start at 3:00 PM ET. SIM algorithm shows a high probability that Milwaukee will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points In Game 3, Toronto shot 33.8% and Toronto shot 52.7% in Milwaukee’s blowout 104-77 win in Game 3. Teams, like Milwaukee, who have covered three straight ATS, and are coming off a game as defined by Game 3 above, are an incredible 8-0 ATS in Game 4. Date Day Season Team Opponent Site Final Line Total ATS Margin OU Margin SU ATS OU Apr 22, 2017 Sat 2016 Bucks Raptors home -2.0 195.5 May 05, 2012 Sat 2011 Spurs Jazz away 102-90 -6.0 202.0 6.0 -10.0 W W U Apr 16, 2011 Sat 2010 Mavericks Trailblazers home 89-81 -5.0 186.0 3.0 -16.0 W W U May 06, 2010 Thu 2009 Magic Hawks home 112-98 -9.5 189.5 4.5 20.5 W W O May 09, 2009 Sat 2008 Cavaliers Hawks away 97-82 -9.5 181.0 5.5 -2.0 W W U Apr 29, 2009 Wed 2008 Nuggets Pelicans home 107-86 -10.5 197.5 10.5 -4.5 W W U Apr 22, 2006 Sat 2005 Bulls Heat away 106-111 8.0 193.5 3.0 23.5 L W O Apr 19, 2004 Mon 2003 Spurs Grizzlies home 87-70 -10.0 173.5 7.0 -16.5 W W U Apr 18, 2004 Sun 2003 Timberwolves Nuggets home 106-92 -10.0 186.5 4.0 11.5 W W O Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Milwaukee. |
|||||||
04-21-17 | Royals +151 v. Rangers | Top | 2-6 | Loss | -100 | 12 h 42 m | Show |
7* graded play on Kansas City (969) as they take Texas in MLB action set to start at PM ET. SIM algorithm shows a high probability that KC will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas is just 3-12 (-10.8 Units) against the money line in home games after having lost 5 or 6 of their last 7 games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Royals. Two of the worst hitting teams so far this season square off tonight. KC ranks 28th with a team batting average of 0.211. However, Texas is dead last in 30th position with a 0.206 BA. Texas ranks 9th in RPG at 4.56 and this reflects a ton of key situational hits. This type of scoring just is not sustainable by any team in any season. BWe believe that Nate Karns will have a solid start and complete at least 6 innings. Hamels is a very good veteran starter, but there are some red flags. He has made three starts and averaging 6 IP/start, but has record just 11 strikeouts with 7 BB and 3 HR allowed. He has allowed 1 HR exact in each of these three starts and yielding the HR has been a periodic problem for him in his career. |
|||||||
04-21-17 | Cubs -179 v. Reds | Top | 6-5 | Win | 100 | 8 h 27 m | Show |
7* graded play on the Cubs (955) as they take on the Reds in NL Central action set to start at 7:10 PM ET. SIM algorithm shows a high probability that the Cubs boxed with starter Jon Lester will win this game. We also like using an alternative combination ager consisting of a 5* play using the money line and a 2* play using the Run Line. The current RL is – 1 ½ -125, so this offers an optimized ROI when combined with the 5* play using the money line. Either wager is valid and the combination wager simply offers a different approach to play this game. Advanced and Predictive Analytics Discussion Points The following system has gone 49-9 hitting 84.5% winners and has made 33.4 units/unit wagered since 2012. The system has also averaged a -173 favorite, which nearly matches the line for this game too. Play on all favorites with a money line of -150 or more (CHICAGO CUBS) with a team slugging percentage .390 or worse on the season (NL) against opponent with a team slugging percentage of .430 or better on the season (NL). The following game situations match the SIM projections and my compiled research for the outcome of this game. Reds are a horrid 12-46 (-25.6 Units) against the money line vs. a starting pitcher whose strikes out 5 or more batters per start over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cubs. |
|||||||
04-20-17 | Royals v. Rangers +106 | Top | 0-1 | Win | 106 | 13 h 9 m | Show |
7* graded play on Texas (916) as they take on Kansas City in MLB action set to start at PM ET. SIM algorithm shows a high probability that Texas will win this game. Advanced and Predictive Analytics Discussion Points The following system has gone 44-22 hitting 67% winners and has made 26.7 units/unit wagered since 2012. The system has also averaged an +111 DOG play. Play against road favorites with a money line of -110 or higher (KANSAS CITY) where team's hitters draw 3 walks or less/game on the season against opponent good power team averaging 1.25 or more HR's/game on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Texas is a solid 21-9 (+13.3 Units) against the money line in home games facing a starting pitcher whose strikes out 5 or more batters per start over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Texas Rangers. |
|||||||
04-19-17 | Ducks v. Flames UNDER 5 | Top | 3-1 | Win | 130 | 16 h 43 m | Show |
7* graded play ‘UNDER’ in the Anaheim – Calgary (63 and 64) matchup in NHL Playoff action set to start at 10:05 PM ET. SIM algorithm shows a high probability that fewer than five goals will be scored in this match. Anaheim leads 3-0 in this best-of-seven Western Conference quarterfinals series and can wrap it all up tonight with a sweep. Advanced and Predictive Analytics Discussion Points The following system has gone 30-10 ‘under’ for 75% winners and has made 21.6 units/unit wagered since 2012. Play ‘under’ with home teams where the total is 5 or less (CALGARY) revenging 2 straight close losses vs opponent by 1 goal or less, a marginal winning team winning between 51% to 60% of their games and playing a winning record team. The following game situations match the SIM projections and my compiled research for the outcome of this game. Calgary is a near-perfect 11-1 UNDER (+10.1 Units) after allowing 5 goals or more this season. Calgary is 19-7 UNDER (+11.6 Units) after allowing 4 goals or more this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’. Calgary has lost three straight by 1 goal. In the playoffs, teams that have lost three straight games by 1 goal exact are 25-10-4 ‘UNDER’ for 71.4% winners. |
|||||||
04-19-17 | Thunder v. Rockets -7.5 | Top | 111-115 | Loss | -110 | 38 h 37 m | Show |
7* graded play on Houston (704) as they take on Oklahoma City in NBA Round 1 Playoff action set to start at 8:00 PM ET. SIM algorithm shows a high probability that will win this game by at least points and will cover the spread. Advanced and Predictive Analytics Discussion Points The following system has gone 32-5 ATS hitting 87% winners and has made 26.5 units/unit wagered since 2012. Play against underdogs of 3.5 to 9.5 points (OKLAHOMA CITY) revenging a road blowout loss vs opponent of 20 points or more against opponent off an home win scoring 110 or more points. The following system has gone 40-11 ATS hitting 78% winners and has made 28 units/unit wagered since 1996. Play on home favorites of 3.5 to 9.5 points (HOUSTON) that is a good team (+3 to +7 PPG differential) against an average team (+/- 3 PPG differential) and after 42+ games, after scoring 110 points or more 2 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is just 4-13 ATS (-10.3 Units) in road games when they allow 112 or more points in a game this season. Houston is 24-11 ATS (+11.9 Units) when their opponents make 25% to 31% of their 3 pointers in a game over the last 2 seasons. Houston is 21-12 ATS (+7.8 Units) in games where they force 13 to 17 turnovers this season. Houston is 107-39 ATS (+64.1 Units) when they score 112 to 116 points in a game since 1996. Houston is 29-15 ATS (+12.5 Units) when they score 112 or more points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston. |
|||||||
04-18-17 | Jazz v. Clippers -9 | Top | 91-99 | Loss | -110 | 16 h 25 m | Show |
10* graded play on the LA Clippers (530) as they take on the Utah Jazz in NBA Round One Playoff action set to start at 10:30 PM ET. SIM algorithm shows a high probability that the Clippers will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. · Utah is 62-112 ATS (-61.2 Units) in road games when their opponents make 48% to 51% of their shots in a game · Utah is 27-85 ATS (-66.5 Units) in road games when they allow 106 to 111 points in a game · Clippers are 230-110 ATS (+109.0 Units) when they make 48% to 51% of their shots in a game since 1996. · Clippers are 14-5 ATS (+8.5 Units) in home games after 1 or more consecutive unders this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Clippers. |
|||||||
04-17-17 | Grizzlies v. Spurs -11 | Top | 82-96 | Win | 100 | 15 h 9 m | Show |
7* graded play on San Antonio (520) as they take on Memphis in Game 2 of the First Round Playoff matchup set to start at PM ET. SIM algorithm shows a high probability that San Antonio will win this game by at least points 11 and will cover the spread. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Spurs are 32-19 ATS (+11.1 Units) when their opponents make 39% to 42% of their shots in a game over the last 2 seasons. Spurs are 51-37 ATS (+10.3 Units) in games where they force 13 to 17 turnovers over the last 2 seasons. Spurs are 27-15 ATS (+10.5 Units) when they grab 4 to 9 more rebounds than their opponents in a game over the last 2 seasons. Memphis is just 3-13 ATS (-11.3 Units) after a division game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Spurs. The Spurs superior ball movement has always been their best asset in all of their previous playoff matchups and this one notwithstanding. They are a mistake free team ranking 7th in personal fouls/game with just 18 per game. Memphis ranks 29th in the league averaging 22.4. After the 46-point reversal in Game 1, we do not see Memphis responding well enough to keep this game competitive for 48 minutes. |
|||||||
04-17-17 | Blackhawks v. Predators -109 | Top | 2-3 | Win | 100 | 15 h 57 m | Show |
7* graded play on Nashville (14) as they take on Chicago in NHL Round 1 Playoff action set to start at 9:35 PM ET. SIM algorithm shows a high probability that Nashville will win this match and take a commanding 3-0 lead in this best-of-seven series. Advanced and Predictive Analytics Discussion Points The following system has gone 97-37 hitting 72.4% winners and has made 44.7 units/unit wagered since 1996. Play against road teams against the money line (CHICAGO) revenging a loss where opponent scored 4 or more goals, off an embarrassing loss by 4 goals or more to a division rival. The following game situations match the SIM projections and my compiled research for the outcome of this game. Nashville is 10-3 against the money line (+9.1 Units) against good starting goalies (saving better than 91.5% of shots against) in the 2nd half of the season this season. Joel Quenneville is 6-15 against the money line (-13.8 Units) in the 3rd game of a playoff series as the coach of Chicasgo. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Nashville. |
|||||||
04-17-17 | White Sox v. Yankees OVER 8.5 | Top | 4-7 | Win | 100 | 12 h 4 m | Show |
7* graded play ‘OVER’ the posted total in the Chicago Whites and NY Yankees game set to start at 7:05 PM ET. SIM algorithm shows a high probability that more than 9 runs will be scored in this game. There is also a metric projecting that one of these teams will score 8 or more runs on their own merit. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Holland is 13-3 OVER (+10.0 Units) vs. teams outscoring opponents by 1 or more runs/game on the season. Holland is 20-8 OVER (+11.6 Units) after giving up |
|||||||
04-16-17 | Thunder +7 v. Rockets | Top | 87-118 | Loss | -105 | 9 h 15 m | Show |
7* graded play on Oklahoma City (515) as they take on Houston in Game 1 of their First Round playoff series set to start at 9:00 PM ET. SIM algorithm shows a high probability that OKC will lose this game by fewer than 7 points and has a great shot at winning this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following MONEY LINE system has gone just 49-62 hitting 44% winners, BUT has made a whopping 54.3 units/unit wagered since 2012. The system has also averaged an impressive +238 DOG play. Play against favorites using the money line (HOUSTON) good team outscoring their opponents by 3+ points/game, after a combined score of 215 points or more 3 straight games. The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is a solid 23-14 ATS (+7.6 Units) in up-tempo games where they attempt 88 or more shots this season. OKC is 18-8 ATS (+9.2 Units) when their opponents make 32% to 38% of their 3 pointers in a game this season. OKC is 20-9 ATS (+10.1 Units) when they grab more than 58 rebounds in a game this season. OKC is 20-5 ATS (+14.5 Units) when they grab 10+ more rebounds than their opponents in a game this season. Houston is just 5-13 ATS (-9.3 Units) in home games when playing against a team with a winning record this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Thunder. |
|||||||
04-16-17 | Rangers -108 v. Mariners | Top | 7-8 | Loss | -108 | 4 h 27 m | Show |
7* graded play on the Texas Rangers (925) as they take on in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that the Rangers will win this game. We also like playing a 5* amount using the Run Line. Advanced and Predictive Analytics Discussion Points The following system has gone 53-23 hitting 70% winners and has made 30.5 units/unit wagered since 2012 . The system has also averaged a +102 line. Play on any team, who had a good bullpen last season that converted on 75%+ of their save opportunities, starting a pitcher who gave up 1 or less earned runs last outing. The following game situations match the SIM projections and my compiled research for the outcome of this game. Seattle is just 18-28 (-18.3 Units) against the money line in home games vs. an AL team with a team batting average of .255 or worse over the last 2 seasons. Seattle starter Iwakuma is just 3-9 (-11.6 Units) against the money line in home games when playing against a team with a losing record over the last 3 seasons. (Team's Record) Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rangers. Rangers lost yesterday and had just two hits. The good news, though, is that road teams that have had 2 or fewer hits in their last game and now are favored in their next game are a very strong 74-34 for 69% winners and a 18% ROI. So, if you wagered $1,000 per play you would have made $27,877 on this simply, yet profitable, situation. Moreover, the Run-Line fairs equally as well sporting a 43-36 mark for only 54.4% winners, BUT has produced a remarkable 21% ROI. The reason is that the Run Line averages +128 and Dime Players added $18,737 to their account. |
|||||||
04-16-17 | Wild -120 v. Blues | Top | 1-3 | Loss | -120 | 3 h 6 m | Show |
7* graded play on Minnesota (1) as they take on St. Louis in NHL action set to start at 3:05 PM ET, Sunday April 16. SIM algorithm shows a high probability that Minnesota will win this match and put themselves back into the series after losing the first 2 games at home. Advanced and Predictive Analytics Discussion Points The following system has gone 56-16 hitting 78% winners and has made 36 units/unit wagered since 1996. Play on road favorites against the money line (MINNESOTA) revenging 2 straight close losses vs opponent by 1 goal or less, winning between 51% and 60% of their games on the season. The following game situations match the SIM projections and my compiled research for the outcome of this game. Minnesota is 12-4 against the money line (+8.0 Units) in road games after having won 4 or 5 of their last 6 games this season. St. Louis is an imperfect 0-5 against the money line (-6.7 Units) in home games when leading in a playoff series over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Minnesota. |
|||||||
04-15-17 | Astros v. A's +140 | 10-6 | Loss | -100 | 4 h 18 m | Show | |
7* graded play on Oakland (976) as they take on Houston in MLB action set to start at 4:05 PM ET. SIM algorithm shows a high probability that Oakland will win this game. Current line shows Oakland as a +125 home dog. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. McCullers is a near-imperfect 1-9 (-9.6 Units) against the money line in road games vs. AL teams scoring 4.4 or less runs/game on the season over the last 3 seasons. (Team's Record) McCullers is 1-11 (-12.0 Units) against the money line in road games vs. an AL team with an on base percentage .330 or worse over the last 3 seasons. (Team's Record) McCullers is just 4-12 (-10.3 Units) against the money line in road games over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Oakland A’s. |
|||||||
04-15-17 | Bruins v. Senators -102 | Top | 3-4 | Win | 100 | 3 h 60 m | Show |
7* graded play on Ottawa (80) as they take on Boston in NHL action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Ottawa will win this match. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Ottawa is a solid 20-14 against the money line (+11.9 Units) when playing against a team with a winning record this season. Ottawa is 17-10 against the money line (+10.7 Units) after having lost 2 of their last 3 games this season. Ottawa is 8-1 against the money line (+7.1 Units) in home games revenging a close loss vs opponent of 1 goal or less this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Ottawa. |
|||||||
04-15-17 | Pacers +9 v. Cavs | Top | 108-109 | Win | 100 | 5 h 10 m | Show |
7* graded play on Indiana as they take on Cleveland in Game 1 of the First Round of the NBA playoffs set to start at 3:00 PM ET. SIM algorithm shows a high probability that Indiana will lose this game by fewer than 7 points and has a great opportunity to win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following system has gone 36-18 hitting 67% winners and has made 20 units/unit wagered since 2012 . Play on road teams vs. the money line (INDIANA) after 2 consecutive covers as a favorite, playing with 2 days rest. The following game situations match the SIM projections and my compiled research for the outcome of this game. Indiana is 217-140 ATS (+63.0 Units) when they make 39% to 45% of their three point attempts in a game. Cleveland is just 1-10 ATS (-10.0 Units) after scoring 85 points or less over the last 2 seasons. Cleveland is 4-14 ATS (-11.4 Units) after scoring 90 points or less over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board |
|||||||
04-14-17 | Mets -160 v. Marlins | Top | 2-3 | Loss | -160 | 7 h 15 m | Show |
7* graded play on the Mets (903) as they take on the Marlins in NL East action set to start at 7:10 PM ET. SIM algorithm shows a high probability that the Mets will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. The following system has produced a 52-21 result good for 71% winners and has made 31.8 units/unit wagered since 2011. Play on any team (NY METS) team who had a good bullpen last season that converted on 75%+ of their save opportunities and now starting a pitcher who gave up 1 or less earned runs last outing. Mets are a strong 41-13 (+26.5 Units) against the money line after 6 consecutive games versus division rivals over the last 3 seasons. Mets are 19-3 (+15.6 Units) against the money line off a one run win over a division rival over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mets. Syndergaard gets the start tonight and is pitching at an elite level. In two starts, he has posted a 0.67 ERA with 16 K’s and ZERO walks in 13 IP. Moreover, he has posted a 3-0 record with a 1.67 ERA and a 0.926 WHIP in 4 career starts against the Marlins. |
|||||||
04-13-17 | A's +119 v. Royals | Top | 1-3 | Loss | -100 | 14 h 48 m | Show |
7* graded play on Oakland (969) as they take on Kansas City in AL action set to start at 8:15 PM ET. SIM algorithm shows a high probability that Oakland will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 31-9 for 78% winners and has made 24 units/unit wagered since 1997. Play on road teams when the money line is +125 to -125 (OAKLAND) AL team with a low on-base percentage of .320 or less and with an excellent bullpen whose ERA is 3.00 or better on the season and is now facing a team with a struggling bullpen posting a WHIP of 1.550 and higher. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the A’s. |
|||||||
04-13-17 | Maple Leafs v. Capitals UNDER 5.5 | Top | 2-3 | Win | 100 | 12 h 40 m | Show |
7* graded play ‘UNDER’ in Game 1 of the Washington-Toronto (11-12) Matchup set to start at 7:05 PM ET. SIM algorithm shows a high probability that fewer than six goals will be scored in this game. We also have a 5* play on Washington. This opens up the parlay opportunity to play Washington and ‘under’ for a 3* amount. Given that Washington is a 2-1 favorite, the parlay using the money line is not that attractive. So, using the puck line and expecting Washington to win by two or more goals produces a far better ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Toronto is just 3-18 against the money line (-15.5 Units) when playing against a good team (Win Pct. 60% to 75%) in the second half of the season over the last 3 seasons. Toronto is 8-30 against the money line (-19.4 Units) against good teams outscoring their opponents by 0.3+ goals/game 2nd half of the season over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘Under’ and the other optional wagers detailed above. In the NHL playoffs, teams that are playing at home and favored by -200 or more are a remarkable 8-1 for 89% winners. No opponent scored more than 2 goals in any of these nine games and 6 of the 10 saw 1 or fewer goals scored. The ‘under’ is also 8-1 in these games with the last 7 going ‘under’ the total. Ironically, the last loss occurred April 22, 2016 when the Flyers won in Washington 2-0. |
|||||||
04-13-17 | Rangers v. Angels +125 | Top | 8-3 | Loss | -100 | 8 h 3 m | Show |
7* graded play on the LA Angels (964) as they take on the Texas Rangers in AL action set to start at 3:35 PM ET. SIM algorithm shows a high probability that will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 42-21 for 67% winners and has made 25 units/unit wagered since 2012. Play against road favorites with a money line of -110 or higher (TEXAS) where team's hitters draw 3 walks or less/game on the season against opponent good power team averaging 1.25 or more HR's/game on the season. LA Angels are 19-5 (+13.6 Units) against the money line in home games after having won 4 or 5 of their last 6 games over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the LA Angels. |
|||||||
04-12-17 | Bruins -123 v. Senators | Top | 2-1 | Win | 100 | 12 h 39 m | Show |
7* graded play on Boston (9) as they take on Ottawa in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Boston will win this game and take a 1-0 lead in this best-of-seven Round 1 playoff series. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is an incredible system that has gone 25-5 for 83.3% winners and has made 20 units/unit wagered since 1996. Play on road teams when the money line is -100 to -150 revenging 2 straight close losses vs opponent by 1 goal, and is a marginal winning team (51% to 60%) playing a winning record team in the 2nd half of the season and playoffs. Ottawa is 0-8 against the money line (-12.3 Units) as a # 2 seed in the playoffs since 1996. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Boston Bruins. |
|||||||
04-12-17 | Mets +106 v. Phillies | Top | 5-4 | Win | 106 | 12 h 49 m | Show |
7* graded play on the NY Mets as they take on the Philadelphia Phillies in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the NY Mets will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Mets are a solid 38-13 (+23.2 Units) against the money line after 6 consecutive games versus division rivals over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mets. The Mets hit SEVEN home runs last night in their 14-4 drubbing of the Phillies last night. Normally, a team that exceeds an average performance level by this amount have a strong propensity to play back to that average or even below average in the next game. Not so fast. Teams who have hit 7 or more home runs in their previous game and find themselves playing on the road are a remarkable 8-2 SU having had an average line of -107 since 2004. This data set has produced a remarkable 52% ROI. Coincidentally, the Mets have been on the winning side of three of these 10 games. Back on August 24, 2015, the Mets were at Philadelphia and the two teams combined for 11 home runs. The next day Noah Syndergaard struggled but led the Mets to a hard fought 6-5 win. |
|||||||
04-11-17 | Reds +174 v. Pirates | Top | 6-2 | Win | 174 | 14 h 36 m | Show |
7* graded play on the Cincinnati Reds (957) as they take on the Pittsburgh Pirates in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Reds will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Pirates are just 13-26 (-14.8 Units) against the money line in home games when playing against a team with a winning record over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Reds. Granted, it is very early in the season, but the big surprise is the Reds bullpen. They have gone 3-for-3 in save opportunities and have posted a strong 2.02 ERA with a 1.343 WHIP and recording 25 Ks in 22 1/3 innings of work. This pen will be a critical part of the Reds win tonight. |
|||||||
04-10-17 | Mets -140 v. Phillies | Top | 4-3 | Win | 100 | 12 h 37 m | Show |
7* graded play on the NY Mets as they take on the Philadelphia Phillies in NL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Mets will win this game. We also like using an alternative combination ager consisting of a 5* play using the money line and a 2* play using the Run Line. The current RL is – 1 ½ +125, so this offers an optimized ROI when combined with the 5* play using the money line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is an amazing system that has gone 46-5 using the money line and has made 37.5 units/unit wagered since 2012. Play on all NL favorites with a money line of -150 or more with a team slugging percentage .390 or worse on the season and is now facing an NL opponent with a team slugging percentage of .430 or better on the season. DeGrom is a solid 22-7 (+13.4 Units) against the money line when the money line is -100 to -150 since 1997. (Team's Record) Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Mets. |
|||||||
04-09-17 | Mavs v. Suns -2.5 | Top | 111-124 | Win | 100 | 7 h 44 m | Show |
7* graded play on Phoenix (512) as they take on Dallas in NBA action set to start at 6:05 PM ET. SIM algorithm shows a high probability that Phoenix will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Phoenix is 15-6 ATS (+8.4 Units) when their opponents make 32% to 38% of their 3 pointers in a game this season. Phoenix is 24-11 ATS (+11.9 Units) in home games when they make 71% to 77% of their free throws in a game over the last 3 seasons. Phoenix is a perfect 8-0 ATS (+8.0 Units) when they allow 100 to 105 points in a game this season. Here is a system that has gone 97-50 for 66% winners since 2012. Play against favorites (PHOENIX) an excellent offensive team scoring 102 PPG or more against a poor defensive team allowing 98 to 102 PPG, after a combined score of 215 points or more 2 straight games. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Suns. |
|||||||
04-09-17 | Giants v. Padres +1.5 | Top | 5-3 | Loss | -125 | 8 h 56 m | Show |
7* graded play on San Diego (962) using the Run Line as they take on San Francisco in NL action set to start at PM ET. SIM algorithm shows a high probability that SD will lose this game by 1 run covering the Run Line and also may win the game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the Run Line and money line for maximum return on investment (ROI). In this case, the optimal combination is to wager a 5.5* play on the RL and a 1.5* play using the money line. This combination maximizes your ROI for this wager based on the probabilistic projections from the SIM. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 27-8 for 82% winners since 1997. Play on home underdogs against a 1.5 run line (SAN DIEGO) below average NL hitting team batting .255 or less and us now facing a team with a below average bullpen posting an ERA >=4.50, with a struggling bullpen whose ERA is 5.50 or worse on the season. SD is 16-4 against the run line (+13.0 Units) in home games facing a struggling bullpen whose ERA is 4.50 or worse over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board SD. |
|||||||
04-09-17 | Twins +120 v. White Sox | Top | 4-1 | Win | 120 | 6 h 41 m | Show |
7* graded play on Minnesota (973) as they take on the CWS in AL action set to start at 2:10 PM ET. SIM algorithm shows a high probability that Minnesota will win this game. Current line is +120 and we expect this line to climb modestly based on current public betting flows. Never hurts to shop for the best line, so over the last 2 hours before first pitch, look to try and get a line at =125 or higher. If not, then simply wager what line is available to you. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 92-58 for 61.3% winners and has made 31.6 units/unit wagered since 2012. Play against home teams when the money line is +125 to -125 (CHI WHITE SOX) American League team who had a batting average of .260 or worse last season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Twins. Twins are playing well. Granted, it is just a 4-game sample size, but teams that have won 4 straight games in the month of April are 16-19 for just 46% winners, BUT has made 4.8 units/unit wagered averaging a +147 DOG line. So, another example of the power of the DOG in MLB and exploiting the money line opportunities. Erwin Santana is an excellent starter with an above average slider that generates far more GB outs than the MLB average. It has 12-6 movement and is largely the reason why he gest weakly hit GB outs on that pitch. His change, though is what is his most ‘out’ pitch and has amazing deception. This in turn, makes his FB look much faster and explodes late on the hitter with many late swing misses. |
|||||||
04-08-17 | Dodgers -200 v. Rockies | Top | 2-4 | Loss | -200 | 9 h 22 m | Show |
7* graded play on the Dodgers (911) boxed with Kershaw and using the -1 ½ RUN Line as they take on the Colorado Rockies in NL West action set to start at 8:10 PM ET. SIM algorithm shows a high probability that the Dodgers will win this game by at least 2 runs. Playing it as a straight money line play is acceptable as well, albeit with the obvious increased 2:1 risk. Another wager consideration is make a combination wager using a 3* play on the RL and a 4* play using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 103-20 for 84% winners using the money line and has made 59 unis/unit wagered since 2012. Play against all underdogs with a money line of +175 to +250 (COLORADO) -NL team with a low on-base percentage of .350 or less against a team with a good bullpen posting a WHIP 1.350 or less, with a good bullpen that converts on 75% or more of their save opportunities. Here is a second system that has gone 29-11 good for 73% winners using the money line and has made 21 units/unit wagered since 1997. Play against home teams (COLORADO) first 12 games of the season, after closing out last season poorly with 9 or more losses in last 12 games, marginal losing team from last season who won 40 to 49% of their games. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board The Dodgers boxed with Kershaw. |
|||||||
04-08-17 | Celtics -1 v. Hornets | Top | 121-114 | Win | 100 | 26 h 9 m | Show |
7* graded play on Boston (703) as they take on Charlotte in NBA action set to start at 6:05 PM ET. SIM algorithm shows a high probability that Boston will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Charlotte is just 9-20 ATS (-13.0 Units) where both teams score 105 or more points in a game this season. Charlotte is 4-13 ATS (-10.3 Units) against Atlantic division opponents this season. Charlotte is 8-17 ATS (-10.7 Units) revenging a road loss vs opponent this season. Boston is coming of a bad streak of games and have shot less than 42% from the field in their last two games. They also rebounded badly with just 47 boards in their loss at Atlanta. This was on the heels of the obliterating defeat they suffered at home to the Cavs. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Boston. Since 2014, Boston has performed well and bounced back nicely after B2B games of this scope. They are 9-3 ATS after 2 straight games shooting less than 42% from the field and getting just 47 boards in their last game. |
|||||||
04-08-17 | Islanders v. Devils +140 | Top | 4-2 | Loss | -100 | 25 h 44 m | Show |
7* graded play on the New Jersey Devils (8) as they take on the NY Islanders in NHL action set to start at 6:05 PM ET. SIM algorithm shows a high probability that the Devils will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a nice system that has gone 111-89 for 56% winners and has made 60 units/unit wagered since 1996. The average line has been a +134 dog. Play against road favorites against the money line (NY ISLANDERS) after allowing 2 goals or less in 4 straight games against opponent after allowing 4 goals or more. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board The NJ Devils. |
|||||||
04-07-17 | Thunder -9.5 v. Suns | Top | 99-120 | Loss | -102 | 6 h 46 m | Show |
7* graded play on Oklahoma City (515) as they take on Phoenix in NBA action set to start at 10:05 PM ET. SIM algorithm shows a high probability that the Thunder will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. OKC is a rock solid 18-7 ATS (+10.3 Units) when they grab more than 58 rebounds in a game this season. Phoenix is just 10-23 ATS (-15.3 Units) when they make 25% to 31% of their three point attempts in a game over the last 2 seasons. Phoenix is 10-22 ATS (-14.2 Units) when they grab 4 to 9 fewer rebounds than their opponents in a game over the last 2 seasons. OKC is a remarkable 18-4 ATS (+13.6 Units) when playing against a struggling team (Win Pct. 25% to 40%) this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Thunder. |
|||||||
04-07-17 | Blue Jays v. Rays OVER 8 | Top | 8-10 | Win | 100 | 8 h 34 m | Show |
7* graded play ‘OVER’ Tampa Bay-Toronto (970 set to start at 7:10 PM ET. SIM algorithm shows a high probability that more than 8 runs will be scored in this matchup. Further, there is a 55% probability that one of these teams will score 8 on their own merit. There is a lean toward TB, but that is not a reason to play TB to win the game. The probability exists for either team to score 8 runs and of course there is a chance (11%) that both teams will score 8 or more runs. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Liriano is a solid 25-13 OVER (+11.5 Units) when the total is 7 to 8.5 over the last 3 seasons. (Team's Record) Andriese is 0-1 in three starts facoing Toronto with a 5.25 ERA and a 1.167 WHIP. Liriano is 2-3 in 9 starts against TB with a 4.67 ERA and a 1.288 WHIP. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’ |
|||||||
04-07-17 | Nationals v. Phillies +165 | Top | 7-6 | Loss | -100 | 4 h 51 m | Show |
7* graded play on Philadelphia (954) as they take on Washington in NL East action set to start at 3:05 PM ET. SIM algorithm shows a high probability that Philadelphia will win their home opener. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 49-29 for 63% winners and has made 33 units/unit wagered since 2012. Play against road favorites with a money line of -125 to -175 (WASHINGTON) after 2 straight games where they committed no errors against opponent after 2 straight games where they stranded 5 or less runners on base. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Philadelphia. |
|||||||
04-07-17 | Braves +137 v. Pirates | Top | 4-5 | Loss | -100 | 4 h 38 m | Show |
7* graded play on Atlanta (951) as they take on Pittsburgh in NL action set to start at 1:05 PM ET. SIM algorithm shows a high probability that Atlanta will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a nice system that has gone 78-43 for 65% winners and has made 36 units/unit wagered since 2012. Play on any team (ATLANTA) after a loss by 4 runs or more against opponent after a combined score of 3 runs or less. Atlanta is 30-28 (+20.2 Units) against the money line in road games against right-handed starters over the last 2 seasons. Pittsburgh is just 8-19 (-16.2 Units) against the money line in home games after 2 or more consecutive losses over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Atlanta Braves. |
|||||||
04-06-17 | Giants -106 v. Diamondbacks | Top | 3-9 | Loss | -106 | 14 h 30 m | Show |
7* graded play on San Francisco (911) as they take on Arizona in NL action set to start at 9:40 PM ET. SIM algorithm shows a high probability that San Francisco will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 41-23 for 64% winners and has made 28 units/unit wagered since 1997. Play against home favorites with a money line of -110 or higher (ARIZONA) first 12 games of the season, non-playoff team from prior season who won their last 3 games, team that had a losing record last season. Arizona is 32-60 (-30.9 Units) against the money line when the total is 8.5 to 10 over the last 2 seasons. Arizona is 10-21 (-12.7 Units) against the money line in home games after a win over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board San Francisco. |
|||||||
04-06-17 | Nets +2.5 v. Magic | Top | 107-115 | Loss | -105 | 12 h 15 m | Show |
10* graded play on the Nets (701) as they take on the Orlando Magic in NBA action set to start at 7:05 PM ET. SIM algorithm shows a high probability that the Nets will losethis game by fewer than 3 points and has a great shot at winning the game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Brooklyn is 9-1 ATS (+7.9 Units) in road games when their opponents make 43% to 47% of their shots in a game this season. Brooklyn is 35-20 ATS (+13.0 Units) in road games in games where they commit 13 to 17 turnovers over the last 3 seasons. Orlando is 14-23 ATS (-11.3 Units) in up-tempo games where they attempt 88 or more shots this season. Orlando is 2-10 ATS (-9.0 Units) in home games when they attempt 23 to 28 free throws in a game this season. Orlando is 14-24 ATS (-12.4 Units) when they grab 10 to 15 offensive rebounds in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board |
|||||||
04-06-17 | Rockies +112 v. Brewers | Top | 2-1 | Win | 112 | 6 h 50 m | Show |
7* graded play on Colorado (903) as they take on Milwaukee in MLB action set to start at 1:40 PM ET. SIM algorithm shows a high probability that Colorado will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Milwaukee is 16-37 (-20.1 Units) against the money line after a win by 4 runs or more over the last 3 seasons. Milwaukee is 14-34 (-19.8 Units) against the money line in April games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Colorado Rockies. |
|||||||
04-05-17 | Warriors v. Suns +10 | Top | 120-111 | Win | 100 | 5 h 60 m | Show |
7* graded play on the Phoenix Suns (514) as they take on the Golden State Warriors in NBA action set to start at 10:00 PM ET. SIM algorithm shows a high probability that Phoenix will lose this game by fewer than 7 points and has a modest shot at being a headline on Sports Center tomorrow morning with an upset win. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. GS is just 12-21 ATS (-11.1 Units) where both teams score 105 or more points in a game this season. GS is 11-25 ATS (-16.5 Units) when playing against a team with a losing record this season. Phoenix is a solid 24-12 ATS (+10.8 Units) in home games when playing against a team with a winning record over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Phoenix Suns. |
|||||||
04-05-17 | Mariners +103 v. Astros | Top | 3-5 | Loss | -100 | 2 h 3 m | Show |
7* graded play on Seattle (975) as they take on Houston in MLB action set to start at 8:10 PM ET. SIM algorithm shows a high probability that Seattle will win this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system has gone 90-48 for 65% winners and has made 40.3 units/unit wagered since 2011. Play against home teams when the money line is +125 to -125 (HOUSTON) American League team who had a batting average of .260 or worse last season. This system is 3-2 making 0.8 units/unit wagered through 2 days of MLB action. Houston is a money burning 3-12 (-11.5 Units) against the money line after a game with a combined score of 4 runs or less 2 straight games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Houston Astros. |
|||||||
04-03-17 | North Carolina v. Gonzaga UNDER 154 | Top | 71-65 | Win | 100 | 14 h 35 m | Show |
10* graded play on ‘UNDER’ in the NCAA Final featuring UNC (602) against Gonzaga that is set to start at 9:20 PM ET. SIM algorithm shows a high probability that fewer than 150 points will be scored in this game. Projections also call for both teams to score ‘UNDER’ 75 points as well. So, we recommend playing ‘under’ in each team’s total for a 3* amount each. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 318-194 ‘under’ good for 62% winners since 2011. Play ‘under’ - neutral court teams where the total is between 150 and 159.5 points in a NCAA tournament game. We provide that system more for you copy and paste it, so that you can tap into its’ benefits next season. Tweaking this a bit or your reference library creation, moving the total to 159 to 165 points has provided a very strong 18-10 ‘under’ record in 2016 All Tournament action (NCAA, CBI, and NIT). Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’ UNC is a solid 15-5 UNDER (+9.5 Units) when they attempt 14 to 18 free throws in a game over the last 3 seasons. UNC is 12-3 UNDER (+8.7 Units) when they score 75 to 80 points in a game over the last 2 seasons. |
|||||||
04-02-17 | Yankees v. Rays +108 | Top | 3-7 | Win | 108 | 4 h 26 m | Show |
7* graded play on Tampa Bay as they take on the New York Yankees in AL action set to start at 1:10 PM ET. SIM algorithm shows a high probability that Tampa Bay will win this game. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Tampa Bay. Tanaka is making his third consecutive Opening Day start and the 28-year old ace, who was 14-1 with a 3.07 ERA in 31 starts last seasons. He set caeer highs in wins and innings (199 2/3) K’s (165) and quality starts at (19). Archers is coming off a very disappointing last season and is looking to rebound to his elite ace form in 2017. He has been lights out all Spring and made a solid start in the WBC too. He is throwing at 97 MPH with significant movement and his slider is still one of the best in the Majors. HI improvement from an 0-4 horrid start in 2016 was quite evident before the season was over. Over his final 13 starts, however, Archer pitched to a 3.11 ERA and 1.00 WHIP, striking out 97 batters over 84 innings while holding hitters to a .605 OPS. So, with three new youngsters, albeit very good players, we like Archer and the Rays for Opening Day. |
|||||||
04-01-17 | Oregon v. North Carolina -4.5 | Top | 76-77 | Loss | -102 | 10 h 5 m | Show |
10* graded play on North Carolina as they take on Oregon in Final Four action set to start at 8:35 PM ET. SIM algorithm shows a high probability that UNC will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. UNC is 12-4 ATS (+7.6 Units) when they make 31% to 37% of their three point attempts in a game over the last 2 seasons. UNC is 14-6 ATS (+7.4 Units) when they grab 14 or more offensive rebounds in a game this season. UNC is 10-3 ATS (+6.7 Units) when they grab more than 45 rebounds in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board UNC. Each of these teams come in on four-game ATS win streaks. Oregon is coming off an exceptional performance hitting 50.5% of their shots and allowed just 35% shooting in their Elite 8 Regional win over Kansas. However, teams in this situation and facing an opponent on a 4-game ATS win streak are 0-4 ATS since 2011. So, this combination of factors is rare, but still very meaningful and reveals our team’s belief that Oregon will not be able to replicate the pinnacle performance they had with Kansas tonight against UNC. Rebounding is a huge edge to UNC and there is no team better on the offensive glass. UNC ranks best n the nation averaging 45 boards per game and best in offensive rebounding percentage at 41%. That means that UNC gets multi-shot possessions on at least half of their possessions. Oregon ranks 130th in the nation averaging 36.1 boards per game, and 68th with a 30.6 offensive rebounding percentage. So, the wider the rebounding edge favoring UNC, the greater the scoring differential. |
|||||||
04-01-17 | South Carolina v. Gonzaga UNDER 138 | Top | 73-77 | Loss | -100 | 8 h 40 m | Show |
7* graded play ‘UNDER’ South Carolina Gonzaga (811) in their Final Four showdown set to start at 6:05 PM ET. SIM algorithm shows a high probability that fewer than 135 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Gonzaga is 19-9 UNDER (+9.1 Units) in road games when they attempt 54 to 62 shots in a game over the last 3 seasons. SC is7-1 UNDER (+5.9 Units) when they make 34% to 39% of their shots in a game this season. SC is 11-3 UNDER (+7.7 Units) in road games when they make 31% to 37% of their three point attempts in a game over the last 3 seasons. SC is 19-7 UNDER (+11.3 Units) when they attempt 19 to 24 free throws in a game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’ |
|||||||
03-31-17 | Capitals v. Coyotes +235 | Top | 3-6 | Win | 235 | 13 h 14 m | Show |
7* graded play on Arizona (12) as they take on Washington in NHL action set to start at 10:05 PM ET. SIM algorithm shows a better than 60% probability that Arizona will win this game. The line is at +225 and if you wager on these types of dogs in the NHL and MLB, your win percentage may not even approach 50%, BUT your units won will put a lot of cash in your account. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a dog play system tht has gone 23-18 for 67% winners, BUT has made a whopping 27 units/unit wagered averaging a +195 DOG play since 1996. Play against road favorites of -200 to -300 against the money line (WASHINGTON) after successfully covering the spread in 4 or more consecutive games, with a winning record on the season playing a losing team in the second half of the season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Arizona. |
|||||||
03-31-17 | 76ers +11.5 v. Cavs | Top | 105-122 | Loss | -110 | 12 h 37 m | Show |
7* graded play on the Philadelphia 76ers (505) as they take on the Cleveland Cavaliers in NBA action set to start at PM ET. SIM algorithm shows a high probability that the 76ers will lose this game by fewer than 7 points and has a great opportunity to win the game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Philadelphia is 16-7 ATS (+8.3 Units) in up-tempo games where they attempt 88 or more shots this season. Philadelphia is 18-6 ATS (+11.4 Units) when they make 43% to 47% of their shots in a game this season. Philadelphia is 22-10 ATS (+11.0 Units) when they make 32% to 38% of their three point attempts in a game this season. Philadelphia is 22-8 ATS (+13.2 Units) in games where they force 13 to 17 turnovers this season. Philadelphia is 12-1 ATS (+10.9 Units) when they score 100 to 105 points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the 76ers. Cleveland is not playing well and has lost three straight games. Betting public will undoubtedly be all over the CAVS as the day unwinds and that will support our cause for the 76ers. Further, teams that have a win % at 0.630 or higher and are off three straight SU losses are 13-22 ATS since 2014. Add in the home court parameter and the results are 3-12 ATS since 2014. |
|||||||
03-31-17 | Coastal Carolina +8.5 v. Wyoming | Top | 59-83 | Loss | -108 | 11 h 33 m | Show |
7* graded play on Coastal Carolina (523) as they take on Wyoming in Game 3 of the CBI Tournament Final set to start at 7:00 PM ET. SIM algorithm shows a high probability that Coastal Carolina will lose this game by fewer than 6 points and has a great shot at winning the game and the Tournament Championship. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Ellis is a solid Ellis is 35-18 ATS (+15.2 Units) versus poor pressure defensive teams - forcing |
|||||||
03-29-17 | Warriors v. Spurs -4.5 | Top | 110-98 | Loss | -105 | 12 h 15 m | Show |
7* graded play on San Antonio (516) as they take on the Golden State Warriors in NBA action set to start at 9:35 PM ET. SIM algorithm shows a high probability that the Spurs will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Spurs are 14-5 ATS (+8.5 Units) when they make 78% to 83% of their free throws in a game this season. Spurs are 51-34 ATS (+13.6 Units) in games where they force 13 to 17 turnovers over the last 2 seasons. Spurs are 26-14 ATS (+10.6 Units) when they grab 4 to 9 more rebounds than their opponents in a game over the last 2 seasons. Spurs are 217-106 ATS (+100.4 Units) when they score 100 to 105 points in a game since 1996. Spurs are a solid 19-6 ATS (+12.4 Units) versus strong offensive teams scoring 106+ points/game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Spurs. |
|||||||
03-29-17 | Coastal Carolina v. Wyoming UNDER 156.5 | Top | 57-81 | Win | 100 | 13 h 8 m | Show |
7* graded play on ‘UNDER’ Coastal Carolina – Wyoming (522) in Game 2 of the CBI Tournament finals set to start at 9:00 PM ET. SIM algorithm shows a high probability that fewer than 150 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Coastal Carolina is 9-2 UNDER (+6.8 Units) after scoring 80 points or more this season. Wyoming is 15-5 UNDER (+9.5 Units) in home games after covering 5 or 6 of their last 7 against the spread Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’ in Game 2. |
|||||||
03-28-17 | Warriors v. Rockets -1.5 | Top | 113-106 | Loss | -107 | 13 h 6 m | Show |
7* graded play on Houston (772) as they take on Golden State in NBA action set to start at 8:05 PM ET. SIM algorithm shows a high probability that Houston will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 20-10 ATS (+9.0 Units) in games where they force 13 to 17 turnovers this season. Houston is 107-39 ATS (+64.1 Units) when they score 112 to 116 points in a game since 1996. Houston is 28-12 ATS (+14.8 Units) when they score 112 or more points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Houston. Golden State has not been a road dog all that often in past seasons. In fact, this will be the second time this season and just the 21st time in the past three seasons. They are 0-1 ATS this season getting crushed at San Antonio 107-85 March 11. Although a very good team, they have changed significantly with the absence of Durant and the Rockets are a team that can wear them down over the course of a game. Nobody shoots more three-point shots (40 per game) than Houston and they rank 7th taking 87 shots per game. Moreover, they rank second in shooting efficiency. |
|||||||
03-28-17 | CS Bakersfield v. Georgia Tech OVER 123 | Top | 61-76 | Win | 100 | 11 h 7 m | Show |
7* graded play ’OVER’ in the NIT semifinal game between G-Tech and Cal State Bakersfield set to start at 7:00 PM ET. SIM algorithm shows a high probability that 130 or more points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. G-Tech is 14-5 OVER (+8.5 Units) in road games when they make 40% to 46% of their shots in a game over the last 3 seasons. G-Tech is 9-1 OVER (+7.9 Units) in road games when playing only their 2nd game in 8 days over the last 2 seasons. CS-Bakersfield is 6-0 OVER (+6.0 Units) as an underdog over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’ tonight. |
|||||||
03-27-17 | Magic v. Raptors -9 | Top | 112-131 | Win | 100 | 12 h 22 m | Show |
7* graded play on Toronto (732) as they take on Orlando in NBA action set to start at 7:30 PM ET. SIM algorithm shows a high probability that Toronto will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Orlando is just 21-43 ATS (-26.3 Units) when they make 25% to 31% of their three point attempts in a game over the last 3 seasons. Orlando is 5-14 ATS (-10.4 Units) when they make 71% to 77% of their free throws in a game this season. Orlando is 15-31 ATS (-19.1 Units) when they allow 106 to 111 points in a game over the last 3 seasons. Orlando is 5-13 ATS (-9.3 Units) when they grab 48 to 52 rebounds in a game this season. Orlando is 5-13 ATS (-9.3 Units) when they grab 4 to 9 fewer rebounds than their opponents in a game this season. Toronto is a solid 31-8 ATS (+22.2 Units) when their opponents make 25% to 31% of their 3 pointers in a game over the last 2 seasons. Toronto is 24-12 ATS (+10.8 Units) when they allow 94 to 99 points in a game over the last 2 seasons. Toronto is 144-62 ATS (+75.8 Units) when they score 106 to 111 points in a game since 1996. Here is a system that has gone 29-8 ATS good for 79% winners since 2012. Play on underdogs (ORLANDO) after beating the spread by more than 24 points in their previous game, a struggling team, winning 25% to 40% of their games on the season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Toronto. |
|||||||
03-27-17 | Red Wings +166 v. Hurricanes | Top | 4-3 | Win | 166 | 11 h 30 m | Show |
7* graded play on Detroit (5) as they take on Carolina in NHL action set to start at 7:05 PM ET. SIM algorithm shows a high probability that Detroit will win this game. Detroit us a +160 dog currently, and given the projections, we like the puck line too. In this specific situation making a 4* play using the puck line and a 3* play using the money line provides and excellent ROI. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system has gone 22-9 for 71% winners and has made 20.3 units/unit wagered since 2012. Play against home favorites of -200 or less against the money line (CAROLINA) off a win or tie in their previous game, a marginal losing team (40% to 49%) playing a bad team winning between 25 and 40% in the second half of the season. Carolina is just 5-10 against the money line (-11.4 Units) in home games when playing against a team with a losing record this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Detroit. |
|||||||
03-26-17 | Kentucky v. North Carolina UNDER 161 | Top | 73-75 | Win | 100 | 4 h 46 m | Show |
7* graded play on ‘UNDER’ n the Elite 8 Round between Kentucky and UNC set to start at 5:05 PM ET. SIM algorithm shows a high probability that fewer than 155 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. The current line at 159.5 and likely to move to 160 given the public betting flows. Kentucky is coming off a game where they committed just 8 turnovers and this combined with the current line produces a very favorable set of criteria for the ‘UNDER’ to bring home the bacon. In games on a neutral court where one of the teams committed just 8 or fewer turnovers and the line is between 158 and 165 has produced a 15-6 ‘UNDER’ mark good for 71.4% winners since the 2012 season. Kentucky is 14-2 UNDER (+11.8 Units) when they attempt 54 to 62 shots in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’ |
|||||||
03-26-17 | Thunder v. Rockets OVER 232 | 125-137 | Win | 100 | 4 h 53 m | Show | |
10* graded play ‘OVER’ Houston- OKC (707) in NBA action set to start at 3:35 PM ET. SIM algorithm shows a high probability that more than 235 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 21-9 OVER (+11.1 Units) after having won 4 of their last 5 games over the last 2 seasons. Houston is 21-8 OVER (+12.2 Units) after a division game over the last 2 seasons. Houston is 41-25 OVER (+13.5 Units) as a home favorite over the last 2 seasons. D’Antoni is 40-18 OVER (+20.2 Units) versus good offensive teams scoring 106+ points/game in all games he has coached. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’ in this marquee matchup. |
|||||||
03-26-17 | South Carolina +3.5 v. Florida | Top | 77-70 | Win | 100 | 3 h 60 m | Show |
7* graded play South Carolina (721) on as they take on Florida in the East Regional Final set to start at 2:20 PM ET. SIM algorithm shows a high probability that SC will win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 35-9 ATS good for 80% winners since 2011. Play on neutral court teams as an underdog (S CAROLINA) after beating the spread by more than 12 points in two consecutive games. SC is 19-8 ATS (+10.2 Units) versus good teams - outscoring their opponents by 4+ points/game over the last 2 seasons. SC is 19-8 ATS (+10.2 Units) versus good teams - outscoring their opponents by 4+ points/game over the last 2 seasons. SC is a near-perfect 9-1 ATS (+7.9 Units) in road games after 2 consecutive non-conference games over the last 2 seasons. SC is 7-1 ATS (+5.9 Units) after playing a game as an underdog this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board South Carolina. |
|||||||
03-25-17 | Xavier v. Gonzaga -7.5 | Top | 59-83 | Win | 100 | 10 h 31 m | Show |
7* graded play on Gonzaga (514) as they take Xavier in the Final of the West Region of the NCAA Tournament set to start at 6:05 PM ET. SIM algorithm shows a high probability that Gonzaga will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 34-11 ATS for 76% winners since 2011. Play on neutral court teams as a favorite or pick (GONZAGA) good 3PT shooting team making 36.5% or better and is now playing against an average 3PT shooting team making between 32 and 36.5%, after game allowing a shooting percentage of 33% or less. Gonzaga is 23-10 ATS (+12.0 Units) when they attempt 19 to 24 free throws in a game over the last 3 seasons. Gonzaga is 14-3 ATS (+10.7 Units) when they score 81 or more points in a game this season. Gonzaga is a solid 13-3 ATS (+9.7 Units) versus good shooting teams making 45% or better of their shots this season. Gonzaga is 12-3 ATS (+8.7 Units) versus good teams outscoring their opponents by 4 or more points/game this season. Gonzaga is 18-4 ATS (+13.6 Units) after 6 or more consecutive wins this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Gonzaga. |
|||||||
03-24-17 | South Carolina +3.5 v. Baylor | Top | 70-50 | Win | 100 | 11 h 49 m | Show |
7* graded play on South Carolina (873) as they take on Baylor in Sweet 16 action set to start at 7:25 PM ET. SIM algorithm shows a high probability that South Carolina will win this game. Given the favorable projections, we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case, the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has produced a 33-9 ATS record good for 79% winners since 2011. Play on neutral court teams as an underdog (S CAROLINA) after beating the spread by more than 12 points in two consecutive games. SC is 18-8 ATS (+9.2 Units) versus good teams - outscoring their opponents by 4+ points/game over the last 2 seasons. 9-1 ATS (+7.9 Units) in road games after a non-conference game over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board South Carolina. |
|||||||
03-24-17 | Nuggets +2 v. Pacers | Top | 125-117 | Win | 100 | 1 h 55 m | Show |
7* graded play on Denver (853) as they take on Indiana in NBA action set to start at PM ET. SIM algorithm shows a high probability that Denver will win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Denver is 20-8 ATS (+11.2 Units) when they allow 106 to 111 points in a game over the last 2 seasons. Denver is 24-13 ATS (+9.7 Units) where both teams score 105 or more points in a game this season. Indiana is a money burning 11-28 ATS (-19.8 Units) when they allow 106 to 111 points in a game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Denver. |
|||||||
03-22-17 | Cavs v. Nuggets +3.5 | Top | 113-126 | Win | 100 | 6 h 3 m | Show |
7* graded play on Denver (762) as they take on Cleveland in NBA action set to start at 9:05 PM ET. SIM algorithm shows a high probability that Denver will win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. CLV is just 5-15 ATS (-11.5 Units) when their opponents make 48% to 51% of their shots in a game this season. CLV is 13-24 ATS (-13.4 Units) when their opponents make 39% to 45% of their 3 pointers in a game over the last 2 seasons. CLV is 6-15 ATS (-10.5 Units) when they allow 112 or more points in a game this season. Denver is a solid 13-2 ATS (+10.8 Units) when they make 48% to 51% of their shots in a game this season. Denver is a near-perfect 13-1 ATS (+11.9 Units) when they make 39% to 45% of their three point attempts in a game this season. 22-2 ATS (+19.8 Units) when they score 117 or more points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board |
|||||||
03-21-17 | Warriors v. Mavs OVER 209 | Top | 112-87 | Loss | -110 | 13 h 29 m | Show |
7* graded play on the ‘OVER’ in the Golden State-Dallas (660) NBA matchup set to start at 8:35 PM ET. SIM algorithm shows a high probability that Golden State and Dallas will score more than 215 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Dallas is a perfect 8-0 OVER (+8.0 Units) in home games versus very good teams outscoring their opponents by 6+ points/game in the 2nd half of the season over the last 3 seasons. Dallas is 19-8 OVER (+10.2 Units) after failing to cover 4 or 5 of their last 6 against the spread over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘OVER’. |
|||||||
03-20-17 | Warriors -2 v. Thunder | Top | 111-95 | Win | 100 | 13 h 31 m | Show |
7* graded play on Golden State (611) as they take on Oklahoma City in NBA action set to start at 8:00 PM ET. SIM algorithm shows a high probability that Golden State will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Warriors are 40-18 ATS (+20.2 Units) when they make 39% to 45% of their three point attempts in a game over the last 3 seasons. Warriors are 27-17 ATS (+8.3 Units) when they score 112 or more points in a game this season. OKC is just 13-28 ATS (-17.8 Units) when their opponents make 39% to 45% of their 3 pointers in a game over the last 3 seasons. OKC is 5-16 ATS (-12.6 Units) when they allow 112 or more points in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board The Warriors. |
|||||||
03-19-17 | Michigan State v. Kansas -7.5 | Top | 70-90 | Win | 100 | 4 h 20 m | Show |
7* graded play on Kansas (728) as they take on Michigan State in Round 2 NCAA Tournament action set to start at 5:15 PM ET. SIM algorithm shows a high probability that Kansas will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Here is a system that has gone 36-12 ATS good for 75% winners since 1997. Play on neutral court teams (KANSAS) an explosive offensive team scoring 76 PPG against an average offensive team allowing between 67 and 74 PPG after 15+ games, after leading in their previous game by 20 or more points at the half. Kansas is a solid 15-6 ATS (+8.4 Units) in road games when they attempt 54 to 62 shots in a game over the last 2 seasons. Kansas is 11-2 ATS (+8.8 Units) in road games when they make 47% to 53% of their shots in a game over the last 2 seasons. Kansas is 9-2 ATS (+6.8 Units) in road games when they allow 67 to 74 points in a game over the last 2 seasons. Kansas is 16-5 ATS (+10.5 Units) when they score 75 to 80 points in a game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Kansas. |
|||||||
03-19-17 | Michigan v. Louisville UNDER 143 | Top | 73-69 | Win | 100 | 3 h 44 m | Show |
7* graded play ‘UNDER’ Michigan – Louisville (721) in Round 2 NCAA action set to start at 12:10 PM ET. SIM algorithm shows a high probability that fewer than 135 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system has gone 45-13 ‘UNDER’ for 78% winners since 1997. Play ‘UNDER’ with neutral court teams where the total is between 140 and 149.5 points (MICHIGAN) in a game involving 2 very good teams outscoring opponents by 8+ PPG, after allowing 85 points or more. Louisville is 21-7 UNDER (+13.3 Units) when they attempt 14 to 18 free throws in a game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to take the ‘UNDER’ in this matchup. |
|||||||
03-18-17 | Northwestern v. Gonzaga -11 | Top | 73-79 | Loss | -103 | 9 h 49 m | Show |
7* graded play on Gonzaga (530) as they take on Northwestern in Round 2 of the NCAA Tournament set to start at 6:00 PM ET. SIM algorithm shows a high probability that Gonzaga will win this game by at least 14 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Gonzaga is 12-4 ATS (+7.6 Units) in road games when they attempt 54 to 62 shots in a game over the last 2 seasons. Gonzaga is 8-2 ATS (+5.8 Units) when they make 47% to 53% of their shots in a game this season. Gonzaga is 8-2 ATS (+5.8 Units) when their opponents make 34% to 39% of their shots in a game this season. Gonzaga is 23-10 ATS (+12.0 Units) when they attempt 19 to 24 free throws in a game over the last 3 seasons. Gonzaga is 9-2 ATS (+6.8 Units) when they force 10 to 13 turnovers in a game this season. Gonzaga is 7-1 ATS (+5.9 Units) when they grab 40 to 44 rebounds in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Gonzaga. |
|||||||
03-18-17 | Wisconsin v. Villanova -5.5 | Top | 65-62 | Loss | -110 | 6 h 2 m | Show |
7* graded play on Villanova (520) as they take on Wisconsin in Round 2 action set to start at 2:40 PM ET. SIM algorithm shows a high probability that Villanova will win this game by at least 11 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Nova is a solid 27-11 ATS (+14.9 Units) when they make 47% to 53% of their shots in a game over the last 3 seasons. Nova is 25-14 ATS (+9.6 Units) when they make 79% or more of their free throws in a game over the last 2 seasons. Nova is 27-11 ATS (+14.9 Units) facing excellent ball handling teams committing 12 or fewer turnovers/game over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Villanova. |
|||||||
03-17-17 | Kent State v. UCLA -18 | Top | 80-97 | Loss | -105 | 13 h 27 m | Show |
10* graded play on UCLA (846) as they take on Kent State (845) in NCAA Round 1 Tournament action set to start at 9:55 PM ET. SIM algorithm shows a high probability that UCLA will win this game by at least 21 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system has gone an outstanding 78-34 ATS for 70% winners since 2011. Play on neutral court teams as a favorite or pick (UCLA) an explosive offensive team scoring 76 PPG or more and is now facing a good offensive team scoring between 74 to 76 PPG, after scoring 75 points or more 2 straight games. Based on the predictive analytics, UCLA falls into a data set that in past exact situations has gone an incredible 12-3 ATS for 80% winners over the past 10 years. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Bruins. |
|||||||
03-17-17 | Rockets -4.5 v. Pelicans | Top | 112-128 | Loss | -105 | 8 h 58 m | Show |
7* graded play on the Houston Rockets (811) as they take on the New Orleans Pelicans in NBA action set to start at 6:00 PM ET. SIM algorithm shows a high probability that Houston will win this game by at least 7 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is 18-9 ATS (+8.1 Units) in games where they force 13 to 17 turnovers this season. NO is just 14-26 ATS (-14.6 Units) when they attempt 18 to 22 free throws in a game over the last 2 seasons. Houston is 23-9 ATS (+13.1 Units) when playing against a team with a losing record this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rockets. |
|||||||
03-17-17 | Wichita State -6.5 v. Dayton | Top | 64-58 | Loss | -110 | 7 h 16 m | Show |
7* graded play on Wichita State (831) as they take on Dayton in Round 1 NCAA Tournament action set to start at 7:10 PM ET. SIM algorithm shows a high probability that Wichita State will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system has gone an impressive 30-7 ATS for 81% winners since 2011. Favorites of 3.5 to 9.5 points (WICHITA ST) that are good FT shooting team (69 to 73%) against an average FT shooting team (65 to 69%) after 15+ games, and after 3 straight games allowing a shooting percentage of 40% or less. WS is a solid 14-4 ATS (+9.6 Units) when they make 38% to 45% of their three point attempts in a game over the last 2 seasons. WS is 13-4 ATS (+8.6 Units) when they attempt 19 to 24 free throws in a game over the last 2 seasons. WS is 7-1 ATS (+5.9 Units) when they make 79% or more of their free throws in a game this season. WS is 20-10 ATS (+9.0 Units) when they grab 9 to 13 offensive rebounds in a game over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Shockers. |
|||||||
03-17-17 | USC +7 v. SMU | Top | 66-65 | Win | 100 | 4 h 41 m | Show |
7* graded play on USC as they take on SMU in Round 1 NCAA Tournament action set to start at 3:10 PM ET. SIM algorithm shows a high probability that USC will lose this game by fewer than 6 points and has a great shot at winning the game too. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. USC is 10-1 ATS (+8.9 Units) in road games when they attempt 14 to 18 free throws in a game over the last 3 seasons. USC is 9-1 ATS (+7.9 Units) after 2 straight games giving up 9 or less offensive rebounds this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Trojans. |
|||||||
03-16-17 | Magic v. Warriors -13.5 | Top | 92-122 | Win | 100 | 15 h 54 m | Show |
7* graded play on Golden State (712) as they take on Minnesota in NBA action set to start at 10:30 PM ET. SIM algorithm shows a high probability that Golden State will win this game by at least 17 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Warriors are 40-18 ATS (+20.2 Units) when they make 39% to 45% of their three point attempts in a game over the last 3 seasons. Warriors are 15-5 ATS (+9.5 Units) in home games when they score 112 to 116 points in a game over the last 3 seasons. Warriors are 66-33 ATS (+29.7 Units) when they score 112 or more points in a game over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Warriors. |
|||||||
03-16-17 | Florida Gulf Coast +12 v. Florida State | Top | 80-86 | Win | 100 | 15 h 39 m | Show |
7* graded play on Florida Gulf Coast (725) as they take on Florida State in Round One of the NCAA Tournament. set to start at 9:40 PM ET. SIM algorithm shows a high probability that will win this game by at least 10 points. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. However, we recommend highly placing a 7* wager on the line and adding a 1* 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. FGC is a solid 9-1 ATS (+7.9 Units) in road games when they attempt 54 to 62 shots in a game since 1997. FGC is 15-4 ATS (+10.6 Units) when they grab 9 to 13 offensive rebounds in a game since 1997. FGC is 11-1 ATS (+9.9 Units) in road games when playing against a team with a winning record after 15 or more games Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Florida Gulf Coast. Florida Gulf Coast has made themselves known over the last couples seasons especially with their sweet 16 runs a few years ago. FGCU has the fifth most efficient scoring offense in all of college basketball shooting the ball at 50.2 percent. Florida State has struggled awfully in games away from their home floor this season. With a 6-7 away record we expect FSU to come out slow and for FGCU to keep it a close game throughout. Take the FGCU eagles as an underdog in this one |
|||||||
03-16-17 | Vermont v. Purdue -10 | Top | 70-80 | Push | 0 | 12 h 52 m | Show |
7* graded play on Purdue (732) as they take on Vermont in Round One of the NCAA Tournament set to start at 7:25 PM ET. SIM algorithm shows a high probability that Purdue will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. This system, has gone 54-20 ATS for 73% winners since 1997. Play against underdogs of 3.5 to 9.5 points (VERMONT) after 4 or more consecutive wins, when seeded 13 through 16 in the NCAA tournament. Purdue is 8-2 ATS (+5.8 Units) when they make 47% to 53% of their shots in a game this season. Purdue is 22-11 ATS (+9.9 Units) when they force 10 to 13 turnovers in a game over the last 3 seasons. Purdue is 17-4 ATS (+12.6 Units) when they commit 10 to 13 turnovers in a game over the last 2 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Boilermakers. |
|||||||
03-16-17 | North Carolina Wilmington v. Virginia -7.5 | Top | 71-76 | Loss | -103 | 6 h 57 m | Show |
7* graded play on Virginia (722) as they take on NC Wilmington in NCAA First Round Tournament action set to start at 12:40 PM ET. SIM algorithm shows a high probability that UVA will win this game by at least 10 points. Public betting is moving this line in our favor and reflects the late-season struggles that UVA endured. However, they are the best defensive team in the Tournament and played a very tough schedule in the ACC holding many opponents to season lows in scoring. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. UVA is 9-2 ATS (+6.8 Units) when they make 47% to 53% of their shots in a game this season. UVA is 12-4 ATS (+7.6 Units) in games attempting around the same number of free throws (+-3) as opponents over the last 2 seasons. UVA is 9-2 ATS (+6.8 Units) when they grab 34 to 39 rebounds in a game this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Cavaliers. In the first full day of march madness we like Virginia. Although there will be some bracket busters UNCW will not be one of them. We look for Virginia stellar defense to slow down UNCW offense which likes to get out and run. Virginia gives up only 55.6 points per game and teams shoot just 39.5 percent. Virginia's offense is highly questioned but look for senior guard London Perrantes to get their offense flowing and score against UNCW's defense who allow 75 points per game. Take Virginia in early action on Thursday. |
|||||||
03-15-17 | North Carolina Central v. UC-Davis +3.5 | Top | 63-67 | Win | 100 | 11 h 44 m | Show |
7* graded play on Cal-Davis (622) as they take on NC Central in the ‘Play-In’ game of the 2017 NCAA Tournament set to start at 6:40 PM ET. SIM algorithm shows a high probability that Cal-Davis will win this game by at least 10 points. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. CD is a solid 11-3 against the money line (+9.4 Units) when they attempt 54 to 62 shots in a game this season. CD is 14-5 against the money line (+9.8 Units) when their opponents make 31% to 37% of their 3 pointers in a game over the last 3 seasons. CD is 10-3 ATS (+6.7 Units) when they attempt 54 to 62 shots in a game this season. CD is a near-perfect 9-1 ATS (+7.9 Units) versus good shooting teams making >=45% of their shots after 15+ games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Cal-Davis. NC Central lost it’s last two regular season games to two of the worst teams in the country based on RPI and other similar metrics. Cal-Davis is playing in their first-ever NCAA Tournament game, but their head coach took Bradly to the Sweet 16 in 2006. So, Jim Les does have coaching experience at this level and this is very important factor for Cal Davis. Further, UC Davis has three players averaging in double-figures led by senior guard Brynton Lemar who scores 16 points per game and junior forward Chima Moneke who adds 14.5. Moneke averages nearly 10 rebounds per game and 1.4 blocks. |
|||||||
03-14-17 | Kansas State -2 v. Wake Forest | Top | 95-88 | Win | 100 | 7 h 21 m | Show |
7* graded play on Kansas State (543) as they take on Wake Forest in the set to start at 9:10 PM ET. SIM algorithm shows a high probability that K-State will win this game by at least 5 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. K-State is a perfect 6-0 ATS (+6.0 Units) when they make 47% to 53% of their shots in a game this season. Wake is just 38-118 ATS (-91.8 Units) when their opponents make 47% to 53% of their shots in a game since 1997. This system has gone 76-38 ATS good for 67% winners since 2011. Neutral court teams as a favorite or pick (KANSAS ST) -after a close loss by 3 points or less against opponent after a combined score of 155 points or more. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board K-State. |
|||||||
03-14-17 | Valparaiso +9 v. Illinois | Top | 57-82 | Loss | -110 | 7 h 21 m | Show |
7* graded play on Valparaiso (551) as they take on Illinois in the First Round action of the NIT set to start at 7:15 PM ET. SIM algorithm shows a high probability that Valparaiso will lose this game by fewer than 7 points and has a great shot at getting the upset win. Given the favorable projections, we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case, the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Valpo is a solid 8-2 against the money line (+6.9 Units) when they grab 9 to 13 offensive rebounds in a game this season. Valpo 13-3 against the money line (+9.3 Units) when they score 67 to 74 points in a game over the last 3 seasons. Valo is 42-14 against the money line (+21.7 Units) versus teams who average 6 or less steals/game on the season after 15+ games since 1997. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Valparaiso. |
|||||||
03-12-17 | Cavs v. Rockets -7 | Top | 112-117 | Loss | -108 | 6 h 51 m | Show |
7* graded play on Houston (878) as they take on Cleveland in NBA action set to start at 9:00 PM ET. SIM algorithm shows a high probability that Houston will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Houston is a solid 18-8 ATS (+9.2 Units) in games where they force 13 to 17 turnovers this season. Houston is 25-9 ATS (+15.1 Units) when they score 112 or more points in a game this season. Houston is 22-7 ATS (+14.3 Units) when they score 117 or more points in a game this season. Houston is a stout 22-10 ATS (+11.0 Units) versus good offensive teams - scoring 106+ points/game over the last 2 seasons. Cleveland is an imperfect 0-8 ATS (-8.8 Units) in road games when playing on back-to-back days this season. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the Rockets. |
|||||||
03-12-17 | Yale +7 v. Princeton | Top | 59-71 | Loss | -105 | 2 h 30 m | Show |
7* graded play on Yale (893) as they take on Princeton in IVY League action set to start at 12:00 PM ET. SIM algorithm shows a high probability that Yale will win this game by fewer than 7 points and definitely has a shot to win this game. Given the favorable projections we like making these opportunistic DOGS combination wagers using the line and money line for maximum return on investment (ROI). In this case the optimal combination is to wager a 5.5* play on the line and a 1.5* play using the money line. However, the one single requirements is that we need a +135 Money line to validate the ROI for the combination wager. If it is not at +135, then simply make a 7* wager using the line. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Yale is a solid 16-4 against the money line (+10.6 Units) in slower paced games where they attempt 46 to 53 shots over the last 3 seasons. Princeton is just 18-33 against the money line (-22.2 Units) in road games when they allow 61 to 66 points in a game Jones is 40-22 ATS (+15.8 Units) revenging a loss where team scored less than 60 points as the coach of YALE. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Yale. |
|||||||
03-11-17 | Duke v. Notre Dame UNDER 147 | Top | 75-69 | Win | 100 | 7 h 56 m | Show |
7* graded play ‘UNDER’ the posted total in the Duke-ND ACC set to start at 10:00 PM ET. SIM algorithm shows a high probability that fewer than 145 points will be scored in this game. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Duke is 11-2 UNDER (+8.8 Units) after successfully covering the spread in 3 or more consecutive games over the last 3 seasons. Duke is 8-1 UNDER (+6.9 Units) after a game where they made 88% of their free throws or better over the last 3 seasons. This system has gone 42-14 ‘UNDER’ for 75% winners since 1997. Play ‘UNDER’ with neutral court teams against the total (DUKE) off an upset win over a conference rival as an underdog against opponent off 2 or more consecutive upset wins as an underdog. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board the ‘UNDER’ in the ACC Championship game. |
|||||||
03-11-17 | Creighton v. Villanova -10 | Top | 60-74 | Win | 100 | 4 h 4 m | Show |
7* graded play on Villanova (746) as they take on Creighton in the BIG EAST Tournament semifinal set to start at 5:30 PM ET. SIM algorithm shows a high probability that Villanova will win this game by at least 10 points. Advanced and Predictive Analytics Discussion Points The following game situations match the SIM projections and my compiled research for the outcome of this game. Villanova is a solid 27-10 ATS (+16.0 Units) when they make 47% to 53% of their shots in a game over the last 3 seasons. Villanova is 24-14 ATS (+8.6 Units) when they make 79% or more of their free throws in a game over the last 2 seasons. Villanova is 23-11 ATS (+10.9 Units) in road games after having won 15 or more of their last 20 games over the last 3 seasons. Other Fundamental and Technical Discussion Points If you are new to my service and wager methodologies, I utilize several methods of artificial intelligence ranging from back propagation to decision trees and weighted simulated projections. So, when these align, then I get the graded play. In this case, it clearly shows a solid reason to get on board Villanova. |