John Ryan

Northern Florida vs Florida Gulf Coast 
7-Unit bet on Northern Florida priced as a 12.5-point underdog. 

The following NCAA Basketball sports betting algorithm has done extremely well producing a 12-107 SU (10%) and a 73-45-1 ATS mark good for 62% winning bets since 2006. The requirements are:  

Bet on underdog priced at 8.5 or more points.  

The dog is coming off a double-digit loss to a conference foe.  

The favorite is coming off a road loss priced as the favorite.  

Alabama vs Mississippi 
7-Unit bet on Mississippi priced as a 6-point underdog. 

NCAA Home Underdog Algorithm 

This NCAA basketball betting algorithm has demonstrated a consistent edge since 2006. Over that span, it has compiled a straight-up (SU) record of 134-251, equating to a 35% win rate, and an impressive 219-160-6 record against the spread (ATS), resulting in 58% winning bets. 

Qualifying Criteria 

The bet is placed on home underdogs, including pick-em scenarios. 

The contest must be the 16th game of the season or later for the team in question. 

The home team must be averaging between 67 and 74 points per game (PPG). 

The opponent must be averaging at least 78 points per game. 

The opponent is entering the game after posting OVER results in each of their last two contests. 

This system is designed to identify home teams that are statistically outmatched on offense but are positioned as underdogs in later-season matchups. It specifically targets situations where the opponent is a high-scoring team on a recent run of high totals, providing an opportunity to take advantage of market expectations. 

VMI vs UNC Greensboro 
7-Unit bet on VMI priced as an 8.5-point underdog. 

NCAA Road Underdog Avenger Algorithm 

This NCAA betting algorithm has established a strong track record since 2014, with an 85-460 straight-up (SU) record, reflecting a 16% win rate, and a 311-232-11 against-the-spread (ATS) performance, translating to a 58% success rate for qualifying wagers. 

Qualifying Criteria 

Bets are placed on road underdogs that have lost their previous two games by double-digit margins. 

Both of these losses must have come against conference opponents. 

The team is playing in a scenario where they are seeking to avenge a loss suffered earlier in the same season. 

This system targets situations where road underdogs are not only seeking redemption from recent tough losses but are also motivated by the opportunity to exact revenge on a conference rival. By focusing on these specific circumstances, the algorithm has achieved a notable edge against the spread over an extended period. 

UCONN vs Butler 
7-Unit bet on Butler priced as an 11.5-point underdog. 

Algorithm Performance Overview 

This NCAA betting algorithm has demonstrated notable effectiveness over the years. Since 2006, it has achieved a straight-up (SU) record of 52-32 and an against-the-spread (ATS) record of 52-29-3. These results translate to a strong 64% win rate for qualifying bets. 

Qualifying Criteria 

Bet is placed on home teams. 

The posted total for the game is set between 140 and 153 points. 

The home team has failed to cover the spread by a cumulative margin of 55 to 70 points over their previous ten games. 

The opposing team has seen game totals exceed the posted number by 35 or more points across their last five contests. 

Summary 

This approach focuses on identifying home teams in NCAA basketball where recent performance trends suggest a potentially high-scoring environment. The algorithm targets situations where the home team has struggled against the spread but faces an opponent whose games have consistently gone OVER the posted totals. By applying these criteria, the algorithm aims to pinpoint advantageous betting scenarios with a proven track record of success. 

Seattle vs Santa Clara 
7-Unit bet on Seattle priced as a 13.5-point underdog. 

Algorithm Performance Overview 

This NCAA betting algorithm has demonstrated remarkable success, compiling a 69-36 against-the-spread (ATS) record since 2010. With a win rate of 65.7%, the system has not produced a single losing season throughout its history. 

Qualifying Criteria 

Bet is placed on road teams that are double-digit underdogs. 

The underdog team must have allowed 55 or fewer points in their most recent game. 

The opposing team must have allowed 85 or more points in their previous game. 

Rest-Based Performance 

When the qualifying team is playing on two or three days of rest, the algorithm’s effectiveness improves further, compiling a 41-18 ATS record. This equates to a 70%-win rate in bets placed under these specific rest conditions.