A’s vs CWS 
7:40 ET 
5-Unit Bet on the CWS priced as 120 favorites using the money line. 

The following MLB betting algorithm has produced a 72-45 record good for 62% winning bets that have earned a 27% ROI and a $36,450 profit for the $1,000 per game bettor and a $1,827 profit for the $50 per game bettor over the past 20 seasons. The requirements are: 

Bet on a home team priced between a –120 favorite and a 120-underdog using the money line. 

They are starting a pitcher that averages less than 5 innings per start. 

They are scoring a weak 3.75 or fewer runs per game on the season. 

Now, if they have been outscored by 200 or more runs in the current season, these ugly “hold your nose” dogs have been man’s best friend producing an 11-4 record averaging a –100 wager resulting in a 49% ROI and an 8,080 profit for the $1,000 per game bettor and a $410 profit for the $50 er game bettor. Rare situation, but a very profitable one that can be trusted to earn profits over the course of an MLB season and will always be highly contrarian. 

Padres vs Giants 
10:15 ET 
8-Unit Bet Under the posted total currently priced at 6.5 runs. 

The following MLB betting algorithm has produced a 46-22-2 Under record good for 68% winning bets that have earned a 33% ROI and a $10,550 profit for the $1,000 per game bettor and a $527 profit for the $50 per game bettor over the past 5 seasons. The requirements are: 

Bet the Under in a game where the total is priced at 6.5 or fewer runs. 

A team is coming off a game in which three runs were scored in total. 

The opponent of this team scored two or fewer runs in their previous game. 

Cubs vs Rockies 
8:40 ET 
8-Unit Bet on the Rockies priced as 120 underdogs using the money line. 

The following MLB betting algorithm has produced a 33-26 record good for 56% winning bets that have averaged a +121-wager resulting in a 23% ROI and a $18,230 profit for the $1,000 per game bettor and a $915 profit for the $50 per game bettor over the past 20 seasons. The requirements are: 

Bet on home underdogs up to +150 using the money line. 

The game is being played from August 1 o out to the end of the season. 

These dogs have been outscored by 200 or more runs on the season. 

They are coming off a win. 

Brewers vs Diamondbacks 
9:40 ET 
8-Unit bet on the Brewers priced as –110 favorites. 

The following MLB betting algorithm has produced a 46-38 record good for 55% winning bets that have averaged a +110-wager resulting in a 17% ROI and a $17,070 profit for the $1,000 per game bettor and a $850 profit for the $50 per game bettor over the past 20 seasons. The requirements are: 

The game occurs after game number 100. 

Bet on the road team when the home team priced between pick and a –150 favorite. 

The host has averaged a score in 2.85 or more of the innings played over their past 10 games. 

The host has averaged 1.90 or more multiple run innings over their last 10 games. 

Both teams have winning records. 

Orioles vs Tigers 
6:40 ET 
8-Unit bet on the Orioles priced as –150-favorites. 

The following MLB betting algorithm has produced a 45-21 record good for 68% winning bets that have averaged a –140-wager resulting in a 23% ROI and a $18,610 profit for the $1,000 per game bettor and a $930 profit for the $50 per game bettor over the past 20 seasons. The requirements are: 

Bet on winning record favorites.  

The game occurs after the all-star break.  

The opponent is coming off a loss priced as a –200 or greater favorite. 

Shockingly, Tarik Skubal lost to the Colorado Rockies last nightpriced as –300 favorites in a 4-2 final score.  

Arizona vs Kansas State 
8:00 ET |  
8-Unit Bet on Arizona currently priced as a 7-point underdog. 

Let’s start with the NCAAF betting algorithm that has produced a 44-76 SU and 70-47-3 ATS record for 60% winning bets over the past 10 seasons. The requirements are: 

Bet on road underdogs priced between 3.5 and 9.5 points. 

They had a winning record last season (bowl team). 

They are coming off a win priced as the favorite but failed to cover the spread. 

The game occurs in the first six weeks of the season. 

The second betting algorithm supporting Arizona has gone 40-23-2 ATS for 64% winning bets over the past 25 seasons and the requirements are: 

Bet on road dogs priced between pick-em and 9.5 points. 

They are coming off a win. 

In that win they failed to cover the spread by not even scoring enough points to exceed how much of a favorite they were in that game. 

They are facing an undefeated foe. 

So, Arizona was priced as a 43-point favorite and won the game 22-10. They failed toscore the betting line by 21 points, which is a quite rare result in college football. In fact, there have been just 6 games since 1996 that have seen a team win and failed by 21 points to equal their betting line. Moreover, teams that failed by 21 or more points to equal their betting line have gone 8-11 SU and 0-19 ATS in those games. Following these situations these teams have posted a 10-7 SU record and 10-7 ATS mark.  

The Predictive Model Projections: The predictive model is forecasting that Arizona will score 28 or more points and will gain 0.75 or more yards-per-play than K-State. In past games spanning the past five seasons, Arizona is 45-23 SU and 42-24-2 ATS fof64% winning bets when scoring 28 or more points; they are 22-7 SU and 19-10 ATS for 65.5% winning bets when they outgained their foes by 0.75 or more yards per play; 17-2 SU and 15-4 ATS for 79% winning bets when they have scored 28 or more points and outgained their foes by at least 0.75 yards per play.