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John Ryan Basketball Sides Picks

Date	Match Up	Rating	Score	Result	Profit	Lead Time	Analysis
02-18-26	Northern Iowa -5 v. Indiana State	Top	81-60	Win	100	2 h 12 m	Show
Northern Iowa vs Indiana State 7-Unit bet on NIU priced as a 5.5-point favorite. NCAA Basketball Betting Algorithm: Road Favorite Case Study Algorithm Performance Overview This sports betting algorithm has demonstrated remarkable success when targeting "ugly" underdogs over many seasons. Since 2006, the strategy has achieved a 492-146 straight-up (SU) record, along with a strong 374-252-12 against-the-spread (ATS) mark, resulting in a 60% win rate on ATS bets. Qualifying Criteria Bet on road favorites that are priced between 3.5 and 9.5 points. The host team must have lost three consecutive games to conference opponents. The host is seeking revenge for a loss earlier in the same season. The host is playing on the same or more rest as the favorite. Historical Head-to-Head Advantage When the favorite has won the last five meetings against the host, the algorithm has delivered an outstanding 118-27 SU record (81% win rate) and a 96-47-2 ATS mark, corresponding to 67% winning bets. This trend is even stronger if the favorite has won the last six meetings, posting an 82-15 SU record (84% win rate) and a 67-29-1 ATS mark for a 70% winning percentage against the spread.
02-18-26	Rutgers v. Penn State -4.5	Top	85-72	Loss	-112	1 h 12 m	Show
Rutgers vs PSU 7-UNIT bet on PSU priced as a 4.5-point favorite. NCAA Basketball Betting Algorithm: Spread Recovery Scenario Algorithm Performance Overview This NCAA Basketball betting algorithm has demonstrated solid performance, compiling a 22-22 straight-up (SU) record and an impressive 29-15 record against the spread (ATS), resulting in a 65.9% winning rate on ATS bets since 2016. Qualifying Criteria Target teams that have underperformed against the spread, specifically those that have failed to cover the spread by a combined total of 55 to 70 points over their last 10 games. The game’s total must fall within the range of 145 to 155 points. The opposing team must have consistently exceeded expectations for high-scoring games, having played OVER the posted total by a combined 37 to 50 points across their previous five games.
02-18-26	VMI +12.5 v. Wofford	Top	76-82	Win	100	1 h 12 m	Show
VMI vs Wofford 7-Unit bet on VMI priced as a 13.5-point underdog. NCAA Basketball Betting Algorithm: Road Underdogs Case Study Algorithm Performance Overview This betting algorithm has maintained a 26-60 straight-up (SU) record, corresponding to a 30%-win rate, and a 50-32-4 against-the-spread (ATS) record, reflecting 61% successful bets since 2007. Qualifying Criteria Bet on road underdogs. The road underdog must be facing a host team that averages 78 or more points per game (PPG). The favorite team should have trailed by double-digits at halftime in each of their two previous games. The road underdog must have an average scoring range between 67 and 74 PPG. NCAA Basketball Betting Algorithm: Creighton vs UCONN Case Study Betting Overview Creighton vs UCONN: 7-unit bet on Creighton, priced as a 15.5-point underdog. Algorithm Performance Overview This betting algorithm has demonstrated strong profitability, achieving a 12-35 straight-up (SU) record and a 30-16-1 against-the-spread (ATS) record for a 65% winning rate since 2019. Qualifying Criteria Bet on underdogs that are scoring between 74 and 79 points per game (PPG). The underdog must be facing a team with a solid defense, allowing an average of 63 to 67 PPG. The opponent has scored 40 or more points in the first half of each of their two previous games. Conference Matchup Performance When the game is a conference matchup, these underdogs have excelled, producing a 7-13 SU record and a 16-3-1 ATS record for an 84% winning rate since 2019.
02-17-26	UCLA +8.5 v. Michigan State	Top	59-82	Loss	-110	5 h 46 m	Show
UCLA vs Michigan State 7-Unit bet on UCLA priced as an 8.5-point underdog. Underdog ATS Algorithm: Double-Digit Rebound Scenario Algorithm Performance Overview This NCAA Basketball sports betting algorithm has demonstrated exceptional performance since 2006. It has achieved a 20-90 straight-up (SU) record, representing an 18% win rate, and an impressive 68-40-2 against-the-spread (ATS) result, translating to a 63% success rate for qualifying bets during this period. Qualifying Criteria Place a bet on the underdog when they are priced as an 8.5-point (or greater) underdog. The underdog must be coming off a double-digit loss to a conference opponent. The favored team is also coming off a loss, specifically a road defeat in which they were the favorite. The matchup must occur after the 20th game of the current season.
02-17-26	Michigan -2.5 v. Purdue	Top	91-80	Win	100	3 h 46 m	Show
Michigan vs Purdue 7-Unit bet on Michigan priced as a 2.5-point favorite. NCAA Basketball Betting Algorithm: Top-10 Showdown Case Study Algorithm Performance Overview This NCAA basketball betting algorithm has demonstrated strong historical performance, achieving a 17-8 straight-up (SU) record and a 17-8 against-the-spread (ATS) record since 2008. This equates to a 68% winning rate in qualifying bets over this period. Qualifying Criteria The matchup features two teams ranked in the top 10 of the latest national poll. The bet is placed on the road team when they are priced between a 3-point favorite and a 3-point underdog. The road team holds a better (lower numerical) ranking compared to the home team. The game's total is set at 150 points or higher. Big Ten Matchup: Michigan vs Purdue This high-profile Big Ten showdown will take place on a nationally televised stage, with the No. 1 ranked Michigan team traveling to face No. 7 Purdue. The game fits all algorithm requirements, signaling a notable betting opportunity according to the outlined strategy.
02-16-26	Bethune-Cookman -4.5 v. Jackson State	Top	86-91	Loss	-110	3 h 29 m	Show
Bethune Cookman vs Jacksonville State 7-Unit bet on Bethune Cookman priced as a 4.5-point favorite NCAA Basketball Betting Algorithm: Consistent Winning Situations Algorithm Performance Overview This NCAA basketball betting algorithm has demonstrated impressive results, achieving an overall record of 80-23 straight up (SU), which equates to a 78% win rate, and a 65-38 against the spread (ATS) record, good for 63% winning tickets since 2006. These outcomes are based on specific situational criteria involving the teams and their recent performances. Qualifying Criteria Bet on favorites priced between 2.5 and 9 points. The game must be at least the 16th played during the regular season. The favorite team is coming off a road loss in which they were also priced as a favorite. The opponent is coming off a win by 20 or more points. Enhanced Performance Range When the favorite is priced between 3.5 and 9.5 points, the algorithm's profitability increases substantially. In these cases, it has compiled a remarkable 63-12 SU record (84% win rate) and a 53-22 ATS record, yielding a 71% rate of winning bets.
02-15-26	Rider +9 v. Sacred Heart	Top	75-86	Loss	-109	2 h 13 m	Show
Rider vs Sacred Heart 7-Unit bet on Rider priced as an 8.5-point underdog. NCAA Basketball Betting Algorithm: Road Underdog Avenger Strategy Algorithm Performance This NCAA basketball betting algorithm has demonstrated consistent results across a substantial sample size. Since 2014, it has achieved a 78-399 straight-up (SU) record, corresponding to a 16% win rate for outright victories. The algorithm's strength, however, lies in its performance against the spread (ATS), where it has compiled a 270-196-1 record, translating to a 58% winning percentage for qualifying bets. Qualifying Criteria Wager on road underdogs who have lost their two most recent games by double-digit margins. Both losses must have occurred against conference opponents. The team must be seeking revenge for a loss suffered earlier in the same season against their current opponent. Enhanced Performance Scenario When a road underdog is priced between pick-em and 9 points and lost the previous meeting against the current opponent—who was favored in that matchup—the bounce-back rate is notably strong. In these situations, the algorithm has produced a 55-30-5 record against the spread (ATS), resulting in a 65% success rate for qualifying bets.
02-14-26	Gonzaga v. Santa Clara +4.5	Top	94-86	Loss	-110	10 h 20 m	Show
12 Gonzaga vs Santa Clara 5-Unit bet on Santa Clara priced as a 4.5-point home dog. 10:30 EST Both teams have won 20+ games this season and Gonzaga is ranked 12th and SC not ranked. That is a tremendous motivating factor for SC in this conference matchup tonight. SC is 8-4 ATS at home this season and are an outstanding 8-8 SU and 12-4 ATS for 75% when priced as a home dog since 2021. SC is 7-0 ATS at home this season and have an offense that can certainly compete with Gonzaga. From the Predictive Model: My models are expecting SC to score 81 points and have the better assist-to-turnover ratio. In past home games over the last five seasons, SC is 29-0 SU when meeting these performance measures over the past 5 seasons. When they have been priced as the dog and indifferent to being on the road or at home, they has seen them go 8-1 SU and 9-0 ATS.
02-14-26	Minnesota +5.5 v. Washington		57-69	Loss	-105	9 h 51 m	Show
Minnesota vs Washington 7-Unit bet on Minnesota priced as a 5.5-point road underdog. 9 EST NCAA Basketball Algorithm: Road Underdog Bounce-Back System System Overview This NCAA Basketball betting algorithm has established a solid track record over the past five seasons, achieving an 18-46 straight-up (SU) record and a 39-25 mark against the spread (ATS). This performance translates to a 61% success rate for ATS bets. Qualifying Criteria Wager on road underdogs priced between 3.5 and 9.5 points. The underdog must be coming off a loss in which they were favored. The favored team is coming off a loss by three or fewer points to a conference opponent. Performance in Later-Season Games When this system is applied to games that are the 20th or later in the season, these road underdogs have posted a 9-13 straight-up record and a 15-7 record against the spread, improving the ATS winning percentage to 68%. Texas Tech vs Arizona 7-Unit bet on Arizona priced as a 9.5-point home favorite. 6:30 EST Expanded Case Study Algorithm Performance This NCAA Basketball betting algorithm has demonstrated notable efficacy since 2018. Over this period, it has achieved a straight-up (SU) record of 46 wins and 13 losses, and an against the spread (ATS) record of 36 wins and 23 losses. Overall, this reflects a 61% winning percentage for qualifying bets. Qualifying Criteria Only wager on favorites, including pick-em games, up to 9.5 points. The favorite must have scored at least 75 points in each of their previous five games. The opponent must be coming off a win of 30 points or more. Performance in Later-Season Games When the algorithm is applied to games occurring after the 15th game of the season, its effectiveness increases. In these later-season matchups, qualifying favorites have posted a 15-2 SU record and a 12-5 ATS record, equating to a 71% winning percentage for ATS bets.
02-14-26	Kent State v. Ball State +8		75-68	Win	100	2 h 51 m	Show
Kent State vs Ball State 7-Unit bet on Ball State priced as an 8.5-point underdog. 2 EST System Overview The following NCAA basketball betting algorithm has demonstrated remarkable performance, amassing a 38-98 straight-up (SU) record for 28% outright wins and a 96-38-2 record against the spread (ATS), equating to a 72% winning percentage since 2006. Qualifying Criteria Place bets on underdogs That are scoring between 63 and 67 PPG. The game is the 16th or more of the regular season. The opponent is coming off a barnburner of game in which 175 or more points were scored. The opponent averages 78 or more PPG.
02-14-26	West Georgia +12 v. Central Arkansas	Top	62-79	Loss	-110	2 h 52 m	Show
Western Georgia vs Central Arkansas 7-Unit bet on UWG priced as a 12-point underdog. 2 EST NCAA Basketball Algorithm: Underdog Road Winner System System Overview The following NCAA basketball betting algorithm has demonstrated remarkable performance, amassing a 20-65 straight-up (SU) record for 24% outright wins and a 55-29-1 record against the spread (ATS), equating to a 65.5% winning percentage since 2013. Qualifying Criteria Place bets on underdogs of 8 or more points. The underdog must be coming off a road win. The underdog also secured a victory in their second-to-last game. The team has lost their previous two matchups against their current opponent. Additional Insight Extra Nugget: The University of West Georgia (UWG) has excelled in OVER results, posting a 14-6 record (70% winning bets) when listed as a double-digit underdog.
02-12-26	Blazers -7.5 v. Jazz		135-119	Win	100	6 h 16 m	Show
Blazers vs Jazz 7-unit bet on the Blazers priced as an 8.5-point favorite. NBA Road Favorite Algorithm – Second Half Totals Scenario Algorithm Performance Overview This NBA betting algorithm has delivered outstanding results in recent years. Since 2017, it has achieved a straight-up (SU) record of 154-52, equating to a 75% win rate. Against the spread (ATS), the algorithm has posted a record of 120-85, resulting in a strong 59% winning percentage for bets placed during this period. Qualifying Criteria Wager on road favorites favored by 4.5 points or more. The game must take place in the second half of the NBA season. The favorite must have won more games than their opponent, but not more than 20% more as measured by win percentage. The posted game total must be 225 points or higher.
02-12-26	Northern Iowa +5.5 v. Belmont	Top	86-91	Win	100	6 h 8 m	Show
Northern Iowa vs Belmont 7-unit bet on NIU priced as a 4.5-point unbderdog. Consider betting 5.5 units using the spread and 1.5 units using the money line. Advanced Lesson: Underdog UNDER Algorithm in Basketball Algorithm Performance Overview This basketball betting algorithm has proven highly effective, achieving a record of 96 wins, 37 losses, and 2 pushes against the spread (ATS) since 2006. This translates to a remarkable 72% win rate. The strategy is specifically designed to identify valuable underdog betting opportunities by analyzing recent team performance metrics and market pricing. Qualifying Criteria Target underdogs that average between 63 and 67 points per game (PPG). The qualifying game must occur after the 15th game of the season, ensuring that teams have established performance trends. The opposing team should be coming off a game in which at least 175 total points were scored, indicating recent high-scoring activity. The opponent must also be averaging at least 78 points per game, highlighting their offensive strength.
02-12-26	Tennessee State -6.5 v. Southern Indiana	Top	73-71	Loss	-108	6 h 7 m	Show
Tennessee State vs South Indiana 7-Unit bet on Tennessee State priced as a 6.5-point favorite. Advanced Lesson: Road Favorite Algorithm – Conference Avenger Scenario Algorithm Performance Overview This sports betting algorithm has consistently delivered impressive results when targeting underdogs that may not appear promising at first glance. Over many seasons, it has compiled a remarkable 492-146 straight-up (SU) record and a robust 374-252-12 mark against the spread (ATS), yielding a 60% win rate for bets placed since 2006. Qualifying Criteria Bet on a road favorite priced between 3.5 and 9.5 points. The host team must have lost three consecutive games to conference opponents. The host team is seeking revenge for a loss earlier in the same season. The host team is playing with the same amount or more rest compared to their opponent.
02-12-26	Bucks +12.5 v. Thunder	Top	110-93	Win	100	5 h 45 m	Show
Bucks vs Thunder 7:30 EST 5-Unit bet on the Bucks priced as 12.5-point underdogs. NBA Road Team Algorithm – Host Coming Off Dominant Win Algorithm Performance Overview Since 2019, this NBA betting algorithm has produced notable results, achieving a straight-up (SU) record of 16-22 and an impressive against the spread (ATS) record of 27-11. This equates to a 71.1% success rate for ATS wagers, highlighting the algorithm’s effectiveness when applied to qualifying games. Qualifying Criteria Bet exclusively on road teams, targeting situations where the visiting side may have an edge. The host team must be coming off a double-digit road victory, indicating recent strong performance away from home. In their previous game, the host must have committed at least three fewer fouls than their average for the season, showing improved discipline and adjustment. This algorithm focuses on exploiting specific market conditions, particularly when disciplined hosts return home after a convincing win. The approach seeks favorable ATS outcomes by identifying road teams facing hosts who have demonstrated both efficiency and discipline in their most recent outing.
02-11-26	Seattle University +13.5 v. Santa Clara	Top	72-84	Win	100	6 h 44 m	Show
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.
02-11-26	Connecticut v. Butler +11.5		80-70	Win	100	3 h 14 m	Show
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.
02-11-26	VMI +9 v. NC-Greensboro		71-92	Loss	-110	3 h 43 m	Show
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.
02-11-26	Alabama v. Ole Miss +7	Top	93-74	Loss	-115	3 h 43 m	Show
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.
02-11-26	North Florida +13 v. Florida Gulf Coast		81-90	Win	100	3 h 42 m	Show
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.
02-09-26	Grizzlies v. Warriors -9		113-114	Loss	-110	7 h 2 m	Show
Grizzlies vs Warriors 7 EST 7-Unit bet on the Warriors priced as a 6.5-point favorite. The following NBA betting algorithm has produced a solid 123-41 SU (75%) and 103-57-4ATS mark good for 64.4% winning bets over the past five seasons. The requirements are: Bet on favorites priced between 3.5 and 7.5 points. That team has seen the total play Under by 35 or more points spanning their previous three games. The game occurs in the second half of the regular season and the playoffs. Our favorite has the better true shooting percentage. NBA Betting Algorithm: Second Half and Playoff Favorite Strategy This NBA betting algorithm has demonstrated consistent success over the past five seasons, delivering a strong 123-41 straight-up (SU) record (75%) and a 103-57-4 against-the-spread (ATS) mark, resulting in a 64.4% rate of winning bets. The system is built around a distinct set of criteria designed to identify optimal betting opportunities for favorites during key points of the season. Algorithm Criteria Wager on favorites with a point spread between 3.5 and 7.5 points. The favorite must have had their previous three games collectively finish UNDER the posted total by 35 or more points. The game must occur in the second half of the regular season or during the playoffs. The favorite must possess the superior true shooting percentage compared to their opponent. By adhering strictly to these parameters, the algorithm isolates high-probability matchups and leverages performance data to maximize effectiveness and reliability for bettors seeking consistent returns.
02-09-26	76ers -3 v. Blazers	Top	118-135	Loss	-110	7 h 1 m	Show
76ers vs Blazers 7 EST 7-Unit bet on the 76ers priced as a 3.5-point favorite. Since 2017, this NBA betting algorithm has achieved a 179-69 SU (72%) and 142-100-6 ATS (59%) record. Criteria: Bet on favorites with a 3.5 to 9.5 point spread in the second half of the regular season. The favorite’s last three games had totals going Under by at least 30 points. Only four or fewer double-digit scorers in their previous game. For non-conference matchups, results improve to 58-17 SU (77%) and 48-26-1 ATS (65%). The following NBA betting algorithm has produced a 74-26 SU and 65-25-1 ATS record for 65% winning bets since 2017. The requirements are: Bet on favorites between 3.5 and 7.5 points. That favorite has seen their last three games play UNDER by 30 or more points over their last three games. The game occurs in the second half of the season. The total is priced between 225 and 234.5 points. NBA Betting Algorithm: Second Half Favorite Strategy This NBA betting algorithm has demonstrated a strong track record since 2017, producing a 74-26 straight-up (SU) and 65-25-1 against-the-spread (ATS) record. This equates to a 65% success rate for winning bets. The strategy is built on a specific set of criteria, targeting favorites in select situations during the second half of the NBA season. Algorithm Criteria Wager on favorites with a point spread between 3.5 and 7.5 points. The favorite must have had their last three games collectively finish UNDER the posted total by 30 or more points. The game must occur in the second half of the NBA season. The total for the matchup is set between 225 and 234.5 points. By adhering to this framework, the algorithm isolates high-probability betting opportunities, leveraging market trends and team performance patterns to maximize its effectiveness. The historical data underscores the reliability of this approach for those seeking consistent returns in NBA betting.
02-09-26	Arizona v. Kansas +2	Top	78-82	Win	100	6 h 53 m	Show
1 Arizona vs 11 Kansas 9 EST ESPN 10-Unit bet on Kansas priced as a 2.5-point underdog and is valid up to a 2.5-point favorite. I do not think the line will jump to a 3.5-point favorite, but just in case a rare situation takes place, we are all prepared. The following NCAA Basketball betting algorithm has compiled a 26-5 ATS record for 84% winning bets since 2017. The required situations are: Bet on a home team priced between the 3’s. The opponent is undefeated on the season. The opponent has won at least 8 games on the season. Kansas has been a home dog just 9 times under head coach Bill Self and his Jayhawks have gone 5-2 SUATS. Back on January 13th, I had a 10-UNIT MAX bet on Kansas priced as a 3.5-point home underdog to Iowa State and they won 84-63! Kansas has hosted top 5 teams 11 times since 2010 and have gone an impressive 9-2 SU and 7-4 ATS. Even for top-rated teams, the Allen Fieldhouse is one of the most difficult venues to come away from with a win.
02-09-26	Oregon +11 v. Indiana	Top	74-92	Loss	-110	5 h 23 m	Show
Oregon vs Indiana 8:30 EST 7-Unit bet on Oregon priced as an 11.5-point underdog. The following NCAA Basketball betting algorithm has compiled a 26-5 ATS record for 84% winning bets since 2017. The required situations are: Bet on a road team. That road team has seen their games play UNDER the total by 6 or more points in each of their previous games. The host has seen their last seven games play OVER by 42 or more points.
02-09-26	Pistons -2.5 v. Hornets	Top	110-104	Win	100	4 h 2 m	Show
Pistons vs Hornets 7 EST 5-Unit bet on the Pistons priced as a 1.5-point favorite. The following NBA betting algorithm has produced a 56-43 SU (57%) and 60-37-2 ATS record good for 62% winning bets since 1996. The requirements are: Bet on road teams priced between a 3.5-point favorite and 3.5-point underdog. That team is coming off a home win by 20 or more points. The opponent has scored 105 or more points five or more of their last 6 games. If the total is priced at 225 or more points, road teams have gone 41-29 SU and 44-24-2 ATS for 65% winning bets. The clincher is if our team is playing with 2 days of rest has produced an incredible 11-2 SU (85%) and 12-1 ATS good for 92% winning bets.
02-08-26	Clippers +9.5 v. Wolves	Top	115-96	Win	100	4 h 5 m	Show
Clippers vs Wolves 3 EST 7-Unit bet on the Clippers priced as an 8.5-point underdog. The following NBA betting algorithm has produced impressive results going 55-48 SU and 72-30-1 ATS (71%) winning bets since 2016. From 2016 to the current game scoring has been on a historic rise lead wide and is the reason this season is selected as the starting point for the algorithm. The requirements are: ØBet on road teams. ØThat road team lost to the host in their previous meeting by 3 or fewer points. ØThe host is coming off an upset loss. If our road team is priced as a dog of not more than 6.5 points they have soared to a highly profitable 19-12 SU and 25-6 ATS (81%) winning bets record since 2016.
02-08-26	Michigan v. Ohio State +10.5	Top	82-61	Loss	-110	2 h 55 m	Show
Michigan vs Ohio State 1:00 EST 7-Unit bet on the Buckeyes priced as a 9.5-point underdog. The following NCAA Basketball betting algorithm has compiled an exceptional long-term record of 430-278 ATS record good for 61% winning bets dating back to 1998. The requirements are: Bet on home teams. Both teams average 76 or more PPG. The road team is coming off a game in which 175 or more points were scored.
02-07-26	Houston v. BYU +1.5	Top	77-66	Loss	-110	12 h 25 m	Show
Houston vs BYU 7-Unit bet on BYU priced as a 1.5-point underdog. The following NCAA basketball betting algorithm has produced a 275-201-8 ATS record for 58% winning bets since 2005. The required criteria are: Bet on a team coming off an ATS loss by 8 or more points. The opponent is coming off an ATS win. The team has covered the spread three or fewer times over their last 10 games. The opponent has covered the spread in 6 or more of their last 10 games. The game is played during the regular season. If our team (BYU) is on a 6 or more-game ats losing streak and lost to the current foe in their previous meeting has compiled a 16-7 ATS for 70% winning bets. If our team is priced as a dog between pick-em and 9.5 points, it has seen a highly profitable result of 10-1 ATS good for 91% winning bets.
02-07-26	Nuggets -5.5 v. Bulls		136-120	Win	100	10 h 3 m	Show
Nuggets vs Bulls 8 EST 7-Unit bet on the Nuggets priced as a 5.5-point favorite. The following NBA betting algorithm has produced a 46-10 SU record and 43-12-1 ATS record good for 78% winning bets since 2013. The requirements are: Bet on road favorites priced between -3.5 and -9.5 points. That favorite has won between 60 and 75% of their games on the season. Game is played in February. Opponent has won between 40 and 49% of their games on the season.
02-07-26	Wisc-Milwaukee +7.5 v. Northern Kentucky	Top	62-67	Win	100	7 h 54 m	Show
Wisconsin-MLW vs Northern Kentucky 7-Unit bet on Wisconsin-MLW priced as a 7.5-point dog. The following NCAA Basketball betting algorithm has gone 18-45 SU and 38-25 ATS for 60% winning bets over the past 6 seasons. The requirements are: Bet on road underdogs priced between 3.5 and 9.5 points. The dog is coming off a loss priced as the favorite. The favorite is coming off a loss by three or fewer points to a conference foe. If this game is game number 20 or more of the season, our dogs have gone 9-13 SU and 15-7 ATS for 68% winning bets. If the total is 150 or more points, our dogs have compiled a highly profitable 9-3 ATS record.
02-07-26	Rockets +3.5 v. Thunder		112-106	Win	100	6 h 34 m	Show
Rockets vs Thunder 3:30 EST 7-Unit bet on the Rockets priced as a 2.5-point underdog. The following NBA Basketball betting algorithm has gone 12-3 SU and 13-2 ATS for 87% winning bets over the past 12 seasons. The requirements are: Bet on a team that is outscoring their foes by 7.5 or more PPG. The opponents' last three games have seen 220 or more points scored in each game. Our team is priced between a 3.5-point dog and a 3.5-pooint favorite. The total is 221 or fewer points.
02-07-26	Ball State v. Louisiana-Monroe +3.5		73-68	Loss	-110	5 h 55 m	Show
Ball State vs UL-Monroe 7-Unit bet on UL-Monroe priced as a 3.5-point underdog. The following NCAA basketball betting algorithm has produced a 51-30 SU and 52-27 ATS record for 65.8% winning bets since 2005. The required criteria are: Bet on any team coming off an upset win over a conference foe and were priced as a 6 or more-point underdog. The opponent is coming off two straight double-digit road losses.
02-06-26	Clippers -3.5 v. Kings		114-111	Loss	-105	7 h 14 m	Show
Clippers vs Kings 10 EST 5-Unit bet on the Clippers priced as a 3.5-point favorite. Data-Driven Analysis Points to Strong Clippers Value Tonight The Los Angeles Clippers travel to Sacramento tonight for a 10 PM EST tip-off against the Kings in what presents an exceptional betting opportunity backed by rigorous statistical analysis. The Clippers enter as 3.5-point road favorites, creating the perfect storm for a proven algorithmic approach that has delivered consistent profits. Algorithm Validation: All Systems Aligned A meticulously tested NBA betting system with an impressive 53-35 straight-up record and 52-33-2 against-the-spread performance (61.2% win rate) since 2019 has identified tonight's matchup as a prime target. The algorithm's three critical parameters are perfectly satisfied: Los Angeles is priced as a 3.5-point road favorite (within the crucial -3.5 to +3.5 range), Sacramento has exploded offensively in recent games, and the Kings are coming off a high-scoring affair. The Statistical Foundation Sacramento's recent offensive surge validates the algorithm's key indicators. The Kings scored 128 points against Washington on January 16th and followed with 112 points in their February 2nd loss to the Wizards (116-112) - both games clearing the 120-point threshold. Most crucially, their last contest against Washington produced 228 total points, well above the algorithm's 235+ requirement when combined with the previous game's total. The Matchup Edge The Clippers' road experience and defensive versatility should neutralize Sacramento's home-court advantage. With the Kings averaging 120.3 points per game over their last three contests, their offensive consistency creates the perfect backdrop for this systematic approach.
02-06-26	Belmont v. Illinois-Chicago +3		68-62	Loss	-110	6 h 2 m	Show
Belmont vs Illinois-Chicago 7-Unit bet on Ill-Chicago priced as a 3.5-point underdog. The following NCAA basketball betting algorithm has gone 124-224 SU (36%) and 200-1434-5 ATS good for 58% winning bets since 2006. The requirements are: Bet on home underdogs including pick-em. The game is the 16th or more of the season. That team si averaging 67 to 74 PPG. The opponent averages 78 or more PPG. The opponent is coming off two consecutive OVER results. If the foe is coming off a home loss, our hosts have produced an amazing 26-21 SU and 34-13 ATS record good for 72% winning bets.
02-06-26	Drake +9.5 v. Illinois State		76-86	Loss	-110	5 h 2 m	Show
Drake vs Illinois State 7-Unit bet on Drake priced as a 9.5-point road dog. The Drake Bulldogs venture to Illinois State on Thursday night as 9.5-point road underdogs in a matchup that perfectly aligns with one of college basketball's most reliable betting algorithms. This proven system has generated exceptional returns since 2014, posting a remarkable 78-399 straight-up record (16%) but an impressive 270-196-1 against-the-spread mark for 58% winning bets. The algorithm's foundation rests on three critical conditions, all satisfied in Thursday's contest. First, Drake arrives having lost their last two games by double digits to conference opponents—a devastating 87-73 defeat to Bradley on January 31st and a crushing 103-90 loss at Belmont on February 3rd. Both losses came against Missouri Valley Conference foes, fulfilling the algorithm's conference requirement. Most significantly, the Bulldogs are avenging their December 29th home loss to Illinois State, where they fell 73-56 in a disappointing 17-point defeat. This revenge factor has historically proven crucial to the algorithm's success. The enhanced subset conditions create even more compelling value. With Drake priced between pick-em and 10 points (currently 9.5-point underdogs) and having lost the previous meeting as favorites, the algorithm's performance soars to an exceptional 55-30-5 ATS record for 65% winning bets. Drake's recent struggles mask their underlying talent, as evidenced by their ability to compete with quality opponents throughout the season. The Bulldogs' motivation factors are compelling: the sting of consecutive double-digit conference losses, the opportunity for revenge against a team that dominated them at home, and the chance to salvage their Missouri Valley Conference standing. This convergence of algorithmic precision and situational dynamics makes Thursday's 7-unit recommendation on Drake a compelling analytical play.
02-06-26	Connecticut v. St. John's +1.5	Top	72-81	Win	100	5 h 1 m	Show
UCONN vs St. Johns 7-Unit bet on St. Johns priced as a 1.5-point underdog. The Algorithm Analysis: A Statistical Convergence at Madison Square Garden When #3 UConn (22-1, 12-0 Big East) travels to face #21 St. John's (17-5, 10-1 Big East) tonight at 8:00 PM EST, the matchup represents more than just a battle for Big East supremacy—it presents a compelling algorithmic betting opportunity that has produced exceptional returns over two decades. The Red Storm enter as 1.5-point home underdogs, perfectly aligning with a proven NCAA basketball algorithm that has generated a 124-224 SU (36%) and 200-143-5 ATS record for 58% winning bets since 2006. The system targets home underdogs in games beyond the 15th of the season, with specific scoring parameters that create predictable variance patterns. St. John's averages 84.6 points per game this season, falling within the algorithm's optimal range of 67-74 PPG for home underdogs. UConn's 79.6 PPG scoring average exceeds the required 78+ threshold for visiting favorites, establishing the foundational statistical framework. The critical algorithmic trigger lies in UConn's recent OVER results. The Huskies demolished Xavier 92-60 (152 total points) on February 3rd and routed Creighton 85-58 (143 total points) on January 31st—both games sailing OVER their projected totals. This consecutive OVER pattern historically indicates offensive variance that favors defensive-minded home underdogs. Most significantly, UConn suffered a rare home loss to Creighton 68-63 on January 18, 2025, snapping their 28-game home winning streak. When the visiting team comes off a home loss, the algorithm's enhanced subset produces an extraordinary 26-21 SU and 34-13 ATS record for 72% winning bets. Recommendation: 7-unit bet on St. John's Red Storm +1.5
02-06-26	Knicks v. Pistons -3.5		80-118	Win	100	5 h 43 m	Show
Knicks vs Pistons 7:30 EST 7-Unit bet on the Pistons priced as a 1.5-point dog. Elite Algorithm Identifies Maximum Value in Detroit Tonight The Detroit Pistons host the New York Knicks at 7:30 EST in what presents an extraordinary betting opportunity backed by one of the most successful NBA algorithms in recent memory. With Detroit priced as a 1.5-point home underdog, all systems align for a maximum confidence 7-unit wager on the surging Pistons. Algorithm Validation: Historic Success Metrics A meticulously crafted betting system with an exceptional 91-60 straight-up record (60% win rate) and an outstanding 96-55 against-the-spread mark (64% winning percentage) since 2014 has identified tonight's matchup as a premium opportunity. The algorithm's three critical parameters are perfectly satisfied, creating the foundation for elite-level confidence. The Statistical Foundation Detroit enters with an impressive 37-12 record, clearly establishing their winning credentials as the home team. New York arrives with their own winning record at 24-25 overall, qualifying as the road team with positive momentum. Most crucially, the Knicks have covered the spread in each of their last three games as favorites, completing the algorithm's final requirement with mathematical precision. Enhanced Value Proposition The algorithm's performance escalates dramatically when the home team transitions to favorite status, posting an elite 51-22 straight-up record (82% win rate) and a remarkable 45-18 against-the-spread mark (71% success rate). Should the line move to make Detroit a favorite, the recommendation shifts to the moneyline for maximum value extraction.
02-06-26	Heat v. Celtics -6		96-98	Loss	-110	5 h 45 m	Show
Heat vs Celtics 7:30 EST 7-Unit bet on the Celtics priced as a 6.5-point favorite. The Boston Celtics host the Miami Heat tonight at TD Garden in what promises to be a compelling Eastern Conference matchup with significant analytical backing for a Celtics wager. Boston enters as 6.5-point favorites with the total set at 226.5 points, creating an intriguing betting landscape that aligns perfectly with a proven statistical model. Algorithm Analysis: The Numbers Tell a Story A rigorously tested NBA betting algorithm with an impressive 83-31 straight-up record (73% win rate) and 73-41 against-the-spread performance since 2017 has identified tonight's game as a prime opportunity. The system's four critical parameters are all satisfied: Boston is favored by 6.5 points (within the 3.5-7.5 range), we're deep into the second half of the season (post-All-Star break scheduled for February 13-15), and the total sits comfortably within the 225-234.5 sweet spot. Most crucially, the Celtics have demonstrated the algorithm's key indicator - their last three games have gone significantly under projected totals. Recent results show Boston's defensive intensity has ramped up considerably, with victories over Milwaukee (107-79), Dallas (110-100), and Houston (114-93) all falling well below market expectations by a combined 30+ points. The Matchup Boston (33-18) has been dominant at home this season, while Miami (27-25) continues to struggle with consistency on the road. The Celtics' recent defensive surge, combined with their home-court advantage and the algorithmic indicators aligning, suggests strong value on the home favorite tonight.
02-05-26	76ers +4 v. Lakers	Top	115-119	Push	0	9 h 6 m	Show
76ers vs Lakers 10 EST 7-Unit bet on the 76ers priced as a 4-point underdog. If there are any trades involving these teams ahead of the trade deadline at 3 PM EST, simply void this opportunity. The following NBA betting algorithm has produced a 59-73 record and 83-46-3 ATS record good 64.3% winning bets over the past six seasons. The requirements are: Bet on road dogs priced between 3.5 and 9.5 points. The total is 225 or more points. Both teams have posted a scoring differential between –3 and +3 PPG. The opponent scored 120 or more points in their previous game. The game occurs from game number 50 on out to the end of the season. If the total is 230 or more points, our teams have compiled a 42-20-3 ATS record good for 68% ATS winning bets.
02-05-26	William & Mary +4.5 v. NC-Wilmington	Top	85-78	Win	100	6 h 54 m	Show
William and Mary vs UNC-Wilmington 7-Unit bet on W&M priced as a 4.5-point underdog. The following NCAA betting algorithm has produced a 57-26-2 OVER record good for 69% winning bets since 2015. The requirements are: Bet on home favorites. They have won 15 or more of their previous 20 games. They have won 80% or more of their games. The total is priced between 150 and 160 points. The opponent has a winning record.
02-04-26	Wolves -1 v. Raptors	Top	128-126	Win	100	4 h 30 m	Show
Wolves vs Raptors 7:30 EST 7-Unit bet on the Wolves priced as a 2.5-point road favorite. The following algorithm that has gone 59-24 (71%) SU and 53-29-1 ATS for 65% winning bets since 1995 or 30 seasons. The requirements are: Bet on a Western Conference roads team taking on an Eastern Conference team. The road team is favored up to an including –11 points. The road team lost the previous meeting to the opponent. The favorite is playing on back-to-back nights. The favorite has the better (higher) effective shooting and true shooting percentage.
02-04-26	Green Bay v. Northern Kentucky -6.5	Top	87-84	Loss	-108	3 h 51 m	Show
Northern Kentucky vs Wisconsin-Green Bay 7-Unit bet on NK priced as a 6.5-point favorite. The Redemption Play: When Favorites Rise from the Ashes Tonight's Golden Opportunity: Northern Kentucky (-6.5) vs Wisconsin-Green Bay Picture this: a battle-tested betting algorithm that's been quietly crushing the books since 2020, boasting an absolutely dominant 28-6 record and a 25-9 ATS record for a jaw-dropping 74% win rate. This isn't your typical "gut feeling" bet – this is mathematical precision meeting sports psychology in perfect harmony and has made significant profits in each of the last five seasons. The Secret Sauce: The "Wounded Favorite" System Here's where it gets fascinating. This algorithm doesn't chase the obvious plays. Instead, it hunts for a very specific scenario that most bettors overlook – the wounded favorite ready to bounce back. The Perfect Storm Checklist: ✅ Home favorite laying 3.5 to 9.5 points (the sweet spot where value meets opportunity) ✅ Recent humiliation factor: The favorite has been absolutely demolished against the spread in their last three games, losing by 24+ points combined ✅ High-scoring opponent: The underdog has been in a scoring frenzy, with their last five games going OVER by a combined 42+ points ✅ The resilience test: Despite recent struggles, the favorite's last loss was "respectable" – within 10 points against the spread Why This Works: The Psychology of Bounce-Back Think about it – you've got a home team that's been embarrassed recently but hasn't completely collapsed. They're facing an opponent that's been in high-scoring affairs, suggesting defensive vulnerabilities. The stage is set for the favorite to reassert dominance on their home court, motivated by recent failures and facing a potentially tired, defensively-challenged opponent. The Numbers Don't Lie: 25-9 ATS since the system's inception, turning what looks like a "stay away" situation into a goldmine for sharp bettors who understand the deeper patterns at play. Tonight, Northern Kentucky fits this profile perfectly. The Norse are ready to remind everyone why they're favored, and the algorithm is screaming "BET."
02-03-26	Suns -2.5 v. Blazers	Top	130-125	Win	100	12 h 16 m	Show
Suns vs Blazers 11:00 EST 7-Unit bet on the Suns priced as a 3.5-point favorite. The following NBA betting algorithm has produced a 49-13 SU (79%) record and 46-15-1 ATS record good for 75.4% winning bets since 2013. The requirements are: Bet on road favorites priced between -3.5 and -9.5 points. That favorite has won between 60 and 75% of their games on the season. Game is played in February. Opponent has won between 40 and 49% of their games on the season.
02-03-26	Bulls -2.5 v. Bucks	Top	115-131	Loss	-110	9 h 14 m	Show
Bulls vs Bucks 8 EST 10-UNIT bet on the Bulls priced as a 3.5-point favorite. The following betting algorithm has produced a 205-68 (75%) SU record and a 164-104-5 ATS mark for 61.2% winning bets over the past 25 seasons. The requirements are: Bet on road favorites priced between 3 and 10 points. The road team has a losing record on the season. Our road team lost the last same season meeting to the host. If the games feature divisional foes our road favorite soars to a 42-9 SU (82%) and 37-13-1 ATS good for 74% winning bets. If the game occurs after the all-star break, these road teams have produced a 73-20 SU (79%) and 63-29-1 ATS record good for 69% winning bets. Drilling one more layer down in the data, if our road team is playing on a single day of rest exact, they have gone 44-12 SU (79%) and 40-16 ATS for 71.4% winning bets. From the predictive model: The model shows a high probability that the Bulls will contain the Bucks offense to 110 or fewer points and will commit 13 or fewer turnovers. In past games since 2021, the Bulls are 63-14 SU (82%) and 60-15-2 ATS good for 80% winning bets when meeting these performance measures.
02-03-26	Lakers -8.5 v. Nets		125-109	Win	100	9 h 45 m	Show
Lakers vs Nets 7:30 EST 7-unit bet on the Lakers priced as –8.5-point favorite. The following NBA betting algorithm has produced a 29-6 SU (83%) and 23-12 ATS mark good for 65.7% winning bets since the start of the 1995 season. The requirements are: Bet on favorites priced at 3 or more points. The Opponent lost to the spread by 25 or more points in their previous game. The dog is coming off a game in which they had 12 or more turnovers than that foe.
02-03-26	St Bonaventure v. Dayton -8		70-72	Loss	-110	8 h 3 m	Show
St, Bonny vs Dayton 7-Unit bet on Dayton priced as an 8.6-point favorite. The following NCAA Basketball betting algorithm has compiled a 23-16 SU and 27-12 ATS record good for 69% winning bets since 2016. The required criteria are: Bet on a team that has failed to cover the spread by 55 to 70 points over their last 10 games. The total is between 145 and 155 points. The opponent has played OVER the total by 37 to 50 points over their previous five games. Subset: If our team is playing at home, they soar to a money earning 13-6 SU and 14-5 ATS record good for 74% winning bets.
02-02-26	Rockets -6.5 v. Pacers	Top	118-114	Loss	-105	5 h 36 m	Show
Rockets vs Pacers 7 EST 7-Unit bet on the Rockets priced as a 6.5-point favorite. The following NBA betting algorithm has produced a solid 147-51 SU (74%) and 121-72-5 ATS mark good for 63% winning bets over the past five seasons. The requirements are: Bet on favorites priced between 3.5 and 7.5 points. That team has seen the total play Under by 35 or more points spanning their previous three games. The game occurs in the second half of the regular season and the playoffs. If our favorite has the better true shooting percentage they improve significantly to a 120-41 SU (75%) and 102-55-4 ATS record good for 65% winning bets since 2018.
02-01-26	Nets +13.5 v. Pistons	Top	77-130	Loss	-118	10 h 55 m	Show
Nets vs Pistons 6 EST 7-Unit bet on the Nets priced as a 13.5-point underdog. The following NBA betting algorithm has compiled a 30-13-2 ARS record good for 70% winning bets over the past 11 seasons. Bet on double-digit road underdogs. That dog has won between 25 and 40% of their games. They are facing a winning record host. The game occurs from game number 15 through the end of the season. The total is 220 or fewer points.
01-31-26	Pelicans v. 76ers -10	Top	114-124	Push	0	8 h 14 m	Show
New Orleans vs Phiuladelphia 7:30 EST 7-Unit bet on the 76ers priced as an 8.5-point favorite. From the Predictive Model: The 76ers are expected to score 115 or more points, have 14 or fewer turnovers, and have more points scored in the paint than the Pelicans. Since 2021, the 76ers are 44-6 SU and 36-14 ATS for 72% winning bets when they have been priced as a home favorite and meeting these performance measures. Since 2016, the year scoring started it’s meteoric rise, the 76ers have gone 93-7 SU and 71-28-1 SATS for 72% winning bets meeting these performance measures.
01-31-26	BYU v. Kansas -4.5	Top	82-90	Win	100	26 h 32 m	Show
BYU vs Kansas 4:30 EST \| ESPN 10-UNIT Bet on Kansas priced as a 4.5-point favorite. Special note: There will be dozens of games cancelled tomorrow due to the exceptionally strong winter storm hitting the eastern United States. This one takes place at Allen Fieldhouse in Lawrence, Kansas and will not be impacted by the storm. IMO, any game taking place in North or South Carolina and neighboring states has a high likelihood of getting cancelled. Live Betting Strategy: Consider betting 8 units preflop and then look to add to more units if BYU scores 10 unanswered points or the betting line reaches –1.5 points during the first half of action. The research that follows will explain why this is a sound strategy.
01-29-26	Colorado v. Iowa State -17	Top	67-97	Win	100	6 h 28 m	Show
Iowa State vs Colorado 7-Unit bet on ISU priced as a 17.5-point favorite. The following betting algorithm has produced an exceptional 136-14 SU (91%) and 92-53-5 ATS record for 63.4% winning bets since 1998. The required criteria are: Bet on home favorites priced between 7.5 and 17.5 points. Both teams are averaging 78 or more PPG. The road team is coming off a game in which 175 or more points were scored.
01-28-26	Wolves -7.5 v. Mavs	Top	118-105	Win	100	4 h 53 m	Show
Wolves vs Mavs 8:30 EST 7-Unit bet on the Wolves priced as a 7.5-point favorite Consider betting 4 units on the Wolves full game and then 3-Units on the first half line. The following NCAA Hoops betting algorithm has compiled a 50-19 ATS record good for 73% winning bets over the past 10 seasons. Bet on road favorites. They are outscoring their foes by 3 or more PPGF. They allowed 85 or fewer points in their previous game.
01-28-26	Texas v. Auburn -6.5	Top	82-88	Loss	-110	2 h 13 m	Show
Texas vs Auburn 7 EST 7-Unit bet on Auburn priced as a 6.5-point favorite. The following NCAA Hoops betting algorithm has compiled a 110-60 ATS record good for 65% winning bets over the past 10 seasons. Bet on home favorites [riced between 3.5 and 9.5 points. Both teams are elite and are outscoring their foes by 6.5 or more PPG. The game occurs after game number 15. Our favorite has scored 85 or more points in each of their last two games.
01-27-26	Clippers -8 v. Jazz	Top	115-103	Win	100	11 h 60 m	Show
Clippers vs Jazz 10 EST 7-Unit bet on the Clippers priced as an 8.5-point favorite. The following NBA Basketball betting algorithm has produced a 127-39 SU 77% record and a 100-64-2 ATS record good for 61% winning bets since 1995. The requirements are: Bet on road favorites in the second half of the season. That road team is allowing 45 to 47.5% shooting, The home team is allowing 47.5% or better shooting. Both teams have posted a rebounding different between +3 and -3. If our road team is priced between a 6.5 and 9.5-point favorite, they soar to an impressive 47-5 SU and 35-17 ATS mark good for 67% winning bets.
01-27-26	Pistons -6.5 v. Nuggets		109-107	Loss	-118	10 h 0 m	Show
Pistons vs Nuggets 9 EST 7-Unit bet on the Pistons priced as a 6.5-point favorite. The following NBA betting algorithm has earned a 41-6 SU (87%) and 29-14-4 ATS good for 67.4% winning bets over the past five seasons. The requirements are: Bet on any road favorites of 4.5 or more points. The home team has returned from a 3 or more-game road trip. The home team plays in the Eastern Time Zone. The home’s last game was played in the Pacific Time Zone.
01-27-26	Kings v. Knicks -13	Top	87-103	Win	100	9 h 30 m	Show
Kings vs Knicks 7:30 EST 7-Unit bet on the Knicks priced as a 13.5-point favorite. The following betting algorithm focused on NBA action has compiled a highly profitable 64-7 SU and 49-21-1 ATS record good for 70% winning bets since 1996 or the past 30 seasons. The required criteria are: Bet on double-digit favorites. They are coming off a road win in which they scored a minimum of 110 points. They lost by double-digits the last time they faced tonight's opponent. If our team scored between 110 and 120 points in their previous game has seen them compile a 40-4 SU (91%) with an average win by 17.2 PPG and a 32-12 ATS record for 73% winning bets and cover the spread by an average of 6.5 PPG.
01-26-26	Warriors v. Wolves -8	Top	83-108	Win	100	5 h 23 m	Show
Warriors vs Timberwolves 9:30 EST 7-Unit bet on the Wolves priced as a 7.5-point favorite. The following NBA betting algorithm has compiled a solid 44-45 SU and 60-27-2 ATS record good for 69% winning bets since 1996. The required criteria are: Bet on any team coming off a home loss. That home team is playing the same team they played in their previous game. They are playing on no days of rest. If the game is a non-divisional matchup, our teams have gone 30-19 SU and 34-13-2 ATS good for 72.3% winning bets. The following NBA betting algorithm has produced a 75-25 SU and 63-35-2 ATS record good for 64.3% winning bets over the past 7 seasons. The requirements are: Bet on favorites priced between 3.5 and 9.5 points. They are on a two or more-game ATS losing streak. They have won 50 to 60% of their games. The opponent has a winning record. The following NBA betting algorithm has produced a solid 147-51 SU (74%) and 121-72-5 ATS mark good for 63% winning bets over the past five seasons. The requirements are: Bet on favorites priced between 3.5 and 7.5 points. That team has seen the total play Under by 35 or more points spanning their previous three games. The game occurs in the second half of the regular season and the playoffs. If our favorite has the better true shooting percentage they improve significantly to a 105-30 SU (78%) and 89-42-4 ATS record good for 68% winning bets since 2018.
01-23-26	Utah State v. Colorado State +5.5	Top	65-61	Win	100	5 h 31 m	Show
USU vs CSU 10 EST FS1 7-Unit bet on CSU priced as a 4.5-point underdog. The following NCAAB betting algorithm has produced an exceptional 86-60 SU and 90-54-2 ATS record for 63% winning bets. Bet against a road team off an upset loss as a home favorite The road team is a top-level team winning 80% or more of their games. The home team has won 60% to 80.
01-23-26	Rockets v. Pistons -3.5	Top	111-104	Loss	-115	1 h 23 m	Show
Rockets vs Pistons SGP 7 EST 7-Unit bet on the Pistons priced as a 4.5-point favorite. Betting on teams that have allowed 105 or fewer points in each of their last two games and now facing a foe that scored 120 or more points in their previous game have gone 132-103 SU (56%) and 134-97-4 ATS for 58% winning bets over the past five seasons. Now, if our team is playing at home, then the five-season record went 84-35 SU and 78-38-5 ATS (67.2%). Playing at home and being favored by not more than 8 points has produced a 39-8 SU record and a 32-13-2 ATS mark for 71% winning bets.
01-22-26	Warriors -5 v. Mavs	Top	115-123	Loss	-115	4 h 2 m	Show
Warriors vs Mavericks 7:30 EZT 7-Unit bet on the Warriors priced as a 5.5-point favorite. The following NBA betting algorithm has produced a 112-37 SU and 97-49-3 ASTS goods for 66% winning bets since 1995. The requirements are: Bet on winning record road favorites. The opponent is coming off a game in which they led by 20 or more points at the half. The opponent has won 50 to 67% of their games. If the game occurs in the second half of the season these teams have gone 67-20 SU and 57-29-1 ATS good for 66.3% winning bets.
01-22-26	NJIT +7 v. Maryland-Baltimore County		74-87	Loss	-110	2 h 24 m	Show
NJIT vs UMBC 7-Unit bet on NJIT priced as an 7.5-point underdog. The following NCAA Basketball algorithm has produced a 36-63 SU (36%) and 62-37 ATS record good for 63% winning bets since 2019. The requirements are: Bet on road underdogs including pick-em. The road team has committed 11 or fewer turnovers in each of their last four games. The opponent is coming off a double-digit win in which they committed 8 or fewer turnovers.
01-21-26	Thunder -9.5 v. Bucks	Top	122-102	Win	100	9 h 12 m	Show
Thunder vs Bucks 9:30 EST 7-Unit bet on the Thunder priced as a 9.5-point favorite. The following betting algorithm has produced a 88-34 SU record and a 73-48-1 ATS mark for 61% winning bets since 2017. The requirements are: Bet on road favorites. The opponent is coming off a road win priced as a dog. The favorite defeated the current opponent by double-digits in a same-season previous game.
01-21-26	Pacers v. Celtics -10.5		104-119	Win	100	7 h 12 m	Show
Pacers vs Celtics 7:30 EST 7-Unit bet on the Celtics priced as a 10.5-point favorite. The following NBA betting algorithm has produced a 169-46 SU (80%) and 132-80-3 ATS mark good for 62.3% winning bets since the start of the 1995 season. The requirements are: Bet on favorites priced between 3 and 14 points. The game occurs in the second half of the regular season. The dog is coming off a game in which they had 13 or more turnovers than that foe.
01-21-26	Cavs -3 v. Hornets	Top	94-87	Win	100	7 h 43 m	Show
Cavs vs Hornets 7 EST 7-Unit bet on the Cavs priced as a 3-point favorite and using the money line is a solid opportunity too. The following NBA betting algorithm has produced a 112-37 SU and 97-49-3 ASTS goods for 66% winning bets since 1995. The requirements are: Bet on winning record road favorites. The opponent is coming off a game in which they led by 20 or more points at the half. The opponent has won 50 to 67% of their games. If the game occurs after the all-star break, these teams have gone 49-15 SU and 44-19-1 ATS good for 70% winning bets. The following NBA betting algorithm has produced an exception record going 126-38 SU and 107-54-3 ATS for 67% winning bets since 1995. The requirements are: Bet on road favorites. The opponent has won 67% or fewer of their games on the season. The opponent led by 20 or more points at the half o their previous game. If the game is a conference matchup, our favorites have compiled a 93-28 SU and 81-37-3 ATS mark good for 69% winning bets. The following NBA betting algorithm has produced an exception record going 65-16 SU and 62-18-1 ATS for 78% winning bets since 1995. The requirements are: Bet on road favorites. That favorite defeated the current foe in their last meeting. Bot teams are from the same conference. The opponent is coming off a 20 or more-point win.
01-17-26	Pacers v. Pistons -12	Top	78-121	Win	100	8 h 12 m	Show
Pacers vs Pistons 7:30 EST 7-Unit bet on the Pistons priced as a 12.5-point favorite. The following betting algorithm has compiled a 35-3 SU (92%) and 26-11-1 ATS for 70% winning bets since 2018. The required situations are: Bet on home favorites of 7.5 and more points. They have held their last three opponents to 105 or fewer points. The opponent scored 120 or more points in their previous game. We were on their Pacers in their 127-119 home win over the Pelicans last night. If the opponent is playing on back-to-back nights, our favorites have gone 10-1 SUATS!
01-17-26	Arkansas v. Georgia -2		76-90	Win	100	5 h 33 m	Show
Arkansas vs Georgia 8 EST 7-Unit bet on Georgia priced as a 2.5-point favorite. The following betting algorithm has compiled a 43-13 SU (77%) and 34-22 ATS for 61% winning bets since 2018. The required situations are: Bet on favorites from 2.5 to 9.5 points. The favorite has scored 75 or more points in each of their previous five games. The opponent is coming off a 30 or more-point blowout win.
01-16-26	Wolves +4.5 v. Rockets	Top	105-110	Loss	-110	8 h 8 m	Show
Timberwolves vs Rockets 9:30 EST 10-Unit bet on the Wolves priced as 4.5-point underdogs. The following NBA betting algorithm has produced a 31-12 SU and 29-14 ATS mark for 67.4% winning bets since 2004. The requirements are: Bet on road teams The road team is coming off a game they never trailed. The road team has at least one day of rest. The host is playing the second of back-to-back games. If the host is coming off double-digit home loss, our road team is a perfect 12-0 SU and 11-1 ATS for 92% winning bets. From the Predictive Model: The Wolves are expected to score 114 or more points and have a better assist-to-turnover ratio than the Rockets, who were stung last night by the best team in the NBA, the Thunder.in past games, the Wolves are 119-21 SU (85%) and 104-35-1 (75%) when they have met or exceeded these performance measures.
01-16-26	Pelicans v. Pacers -3.5		119-127	Win	100	6 h 39 m	Show
Pelicans vs Pacers 7 EST 5-Unit bet on the Pacers priced as a 3.5-point favorite. The following NBA Basketball betting algorithm has produced a 164-53 SU record and a 137-74-6 ATS mark good for 65% winning bets since 2018. The requirements are: Bet on favorites priced between 3.5 and 7.5 points. That favorite has seen their last three games play Under the total by 33 or more points. The game takes place in the second half of the season. If our team has posted a true shooting percentage of 52% or better and is playing on one day of rest, they improve to a highly profitable 63-18 SU and 56-22-3 ATS record goods for 72% winning bets. Cavaliers vs 76ers 7 EST 7-Unit bet on the Cavs priced as a 2.5-point underdog. The following NBA betting algorithm has produced a 67-35 SU and a 61-41 ATS good for 60% winning bets over the past 12 seasons. The requirements are: Bet on a team that has posted a 2.5 or better assist-to-turnover ratio in each of their last three games. The opponent has posted an assist-turnover ratio of 2.0 or lower for the season. The total is between 226 and 240 points. We were on the Cavs two nights ago in their dominating win over the 76ers and this is the second of a home and home series. The 76ers will be more competitive tonight playing with immediate revenge, but the outcome will be the same with a Cavs win. Timberwolves vs Rockets 9:30 EST 10-Unit bet on the Wolves priced as 4.5-point underdogs. The following NBA betting algorithm has produced a 31-12 SU and 29-14 ATS mark for 67.4% winning bets since 2004. The requirements are: Bet on road teams The road team is coming off a game they never trailed. The road team has at least one day of rest. The host is playing the second of back-to-back games. If the host is coming off double-digit home loss, our road team is a perfect 12-0 SU and 11-1 ATS for 92% winning bets. From the Predictive Model: The Wolves are expected to score 114 or more points and have a better assist-to-turnover ratio than the Rockets, who were stung last night by the best team in the NBA, the Thunder.in past games, the Wolves are 119-21 SU (85%) and 104-35-1 (75%) when they have met or exceeded these performance measures.
01-16-26	Cavs +2.5 v. 76ers		117-115	Win	100	6 h 38 m	Show
Cavaliers vs 76ers 7 EST 7-Unit bet on the Cavs priced as a 2.5-point underdog. The following NBA betting algorithm has produced a 67-35 SU and a 61-41 ATS good for 60% winning bets over the past 12 seasons. The requirements are: Bet on a team that has posted a 2.5 or better assist-to-turnover ratio in each of their last three games. The opponent has posted an assist-turnover ratio of 2.0 or lower for the season. The total is between 226 and 240 points. We were on the Cavs two nights ago in their dominating win over the 76ers and this is the second of a home and home series. The 76ers will be more competitive tonight playing with immediate revenge, but the outcome will be the same with a Cavs win.
01-15-26	Jazz +3.5 v. Mavs		122-144	Loss	-110	6 h 38 m	Show
Jazz vs Mavericks 8:30 EST 7-Unit bet on the Jazz priced as a 2.5-point underdog. The following NBA betting algorithm has produced a 35-17 SU and 36-16 ATS record good for 69% winning bets since 2018. The requirements are: Bet on road teams priced between the 3’s. The road team is coming off a road loss. The host is coming off an upset loss at home.
01-15-26	Thunder v. Rockets +5.5	Top	111-91	Loss	-115	5 h 39 m	Show
Thunder vs Rockets 7:30 EST 7-Unit bet on the Rockets priced as a 4.5-point underdog. The following NBA betting algorithm has produced an 18-21 SU record (46%) and a 25-14 ATS mark good for 64% winning bets since 2017. Bet on home teams priced as 3.5 or greater underdogs. The home team is making 46% or more of their shot attempts. The home team is outrebound their opponents by an average of 5 or more per game. The opponent is scoring 111 or more points per game.
01-15-26	Jacksonville +8.5 v. Central Arkansas		60-62	Win	100	5 h 31 m	Show
Jacksonville vs Central Arkansas 7:30 EST \| ESPN+ 7-Unit bet on Central Arkansas priced as a 9.5-point favorite. The following NCAA betting algorithm has produced a 42-13 SU and 34-21 ATS record good for 62% winning bets since 2018. The requirements are: Bet on favorites between 3.5and 9.5 points. They have scored 75 or more points in five consecutive games. They are facing a foe off win by 30 or more points.
01-15-26	Suns v. Pistons -7		105-108	Loss	-115	4 h 9 m	Show
Suns vs Pistons 7 EST 7-Unit bet on the Pistons priced as a 6.5-point favorite. The following NBA betting algorithm has done very well posting a 97-36 SU and 89-41-3 ATS record for 69% winning bets over the past five seasons. The requirements are: Bet on home teams. That home team has allowed 105 or fewer points in each of their last two games. The opponent is coming off a game in which they scored 120 or more points. If the opponent is coming off a loss, our home team soar to a highly profitable 16-4 SU and 15-5 ATS record for 75% winning bets over the past five seasons.
01-15-26	The Citadel +9 v. NC-Greensboro	Top	66-69	Win	100	4 h 4 m	Show
Citadel vs UNC-Greensboro 7 EST \| ESPN+ 7-Unit Bet on the Citadel priced as a 9.5-point underdog. The following College Basketball algorithm has produced a 51-29 SU (64%) and 51-27 ATS record for 65.4% winning bets since 2017. The required criteria are: Bet on a team coming off two consecutive double-digit losses. The opponent is coming off an upset win over a conference foe The first derivative of this system has gone a perfect 6-0 ATS and is active today.
01-14-26	Cavs +1.5 v. 76ers		133-107	Win	100	4 h 44 m	Show
Cavaliers vs 76ers 7 EST, Wednesday 7-Unit bet on the Cavaliers using the money line. If the line reaches –3, then bet the spread. If the Cavs are a dog take the points. The following NCAA Basketball betting algorithm has compiled an highly profitable 31-7 SU and 32-6 ATS record for 84% winning bets since 2006. The required criteria are: Bet on road teams priced between the 3’s. They are taking on a foe that led by 20 or more points at the half of their previous lead. The game is a conference matchup. The team defeated the current opponent in their last meeting in the same season. This is the first game of a home-away series for these two teams with the Cavs hosting the 76ers Friday night. The Cavaliers defeated the 76ers earlier this season as a 12-point favorite by a 132-121 final score.
01-14-26	Auburn v. Missouri +1.5	Top	74-84	Win	100	4 h 36 m	Show
Missouri vs Auburn 7 EST \| ESPN2 7-Unit bet on Missouri priced as a 1.5-point underdog. The following College basketball betting system has compiled a highly profitable 52-20 ATS for 73% winning bets since 2006. The required situations are: Bet on home teams priced between the 3’s. The opponent allows 77 or more PPG. The opponent is coming off the consecutive games in which 165 or moree total points were scored in each game.
01-14-26	VCU v. Rhode Island +4.5		84-75	Loss	-105	3 h 35 m	Show
VCU vs Rhode Island 6 EST \| CBSSN 7-Unit bet on Rhode Island priced as a 4.5-point underdog. The following NCAA Basketball betting algorithm has compiled an highly profitable 122-69 record for 64% winning bets since 1998. The required criteria are: Bet on any team that beat the spread by 24 or more points in their previous game. The opponent has played OVER the total by 54 points spanning their previous 10 games.
01-13-26	Grand Canyon v. New Mexico -7.5	Top	64-87	Win	100	6 h 42 m	Show
Grand Canyon vs New Mexico 9 EST, Tuesday \| The Pit 7-Unit bet on NMU priced as a 7.5-point favorite. The following NCAA basketball betting algorithm has gone 36-8 SU (82%) and 29-15 ATS good for 65.9% winning bets since 2015. The requirements are: Bet on home favorites priced between 3.5 and 9.5 points. That team is coming off two consecutive games in which they led at the half by 20 or more points. That team is outscoring their opponents by 10 or more PPG. The game number is past the 10th one of the season. The game is not a conference matchup. If the opponent is coming off a loss, our home teams have compiled a 20-5 SU and 18-7 ATS record for 72% winning bets.
01-13-26	Miami-FL v. Notre Dame +5	Top	81-69	Loss	-105	4 h 41 m	Show
Miami (FLA) vs Notre Dame 7 EST \| ESPNU 7-Unit bet on the Irish priced as a 4.5-point underdog. The following NCAA basketball betting algorithm has gone 33-31 SU (52%) and 41-23 ATS good for 64.1% winning bets since 2006. The requirements are: Bet on home underdogs of 5 or fewer points. The game is the 16th or more of the season. That team is averaging 67 to 74 PPG. The opponent averages 81 or more PPG. The opponent is coming off two consecutive OVER results.
01-12-26	76ers -3 v. Raptors	Top	115-102	Win	100	5 h 19 m	Show
76ers vs Raptors 7:30 EST, Monday 7-Unit bet on the 76ers priced as a 3.5-point favorite. The following betting algorithm has produced a 72-29 (71%) SU record and a 63-33-5 ATS mark for 66% winning bets over the past 25 seasons. The requirements are: Bet on road favorites playing no more than one day of rest. The favorite is coming off an upset road loss to a conference foe. In that upset loss, the game played Over the posted total. The host averages 1.5 or more assists-per-turnovers on the season.
01-12-26	Jazz +13 v. Cavs		123-112	Win	100	5 h 49 m	Show
Jazz vs Cavaliers 7 EST, Monday 7-Unit bet on the Jazz priced as 13-point dogs. The following NBA betting algorithm has produced a 13-28 SU record (28%) and a 29-11-1 ATS marl good for 73% winning bets since 2017. Bet on road underdogs priced between 7 and 14 points. They are coming off a home loss by 20 or more points. They lost the previous meeting to the current opponent by double-digits.
01-12-26	North Carolina Central -2.5 v. Morgan State	Top	89-78	Win	100	4 h 41 m	Show

01-11-26	Pelicans v. Magic -6.5	Top	118-128	Win	100	3 h 25 m	Show
Pelicans vs Magic 3 EST, Sunday 7-Unit bet on the Magic priced as 6.5-point favorites. Betting on teams that have allowed 105 or fewer points in each of their last two games and now facing a foe that scored 120 or more points in their previous game have gone 132-103 SU (56%) and 134-97-4 ATS for 58% winning bets over the past five seasons. Now, if our team is playing at home, then the five-season record compiled 84-35 SU and 78-38-5 ATS (67.2%). Playing at home and being favored by not more than 8 points has produced a 39-8 SU record and a 32-13-2 ATS mark for 71% winning bets.
01-08-26	Long Beach State +9.5 v. Cal-Irvine	Top	64-74	Loss	-105	8 h 6 m	Show
Long Beach State vs UC-Irvoine 10 EST \| ESPN+ 7-Unit bet on LBST priced as a 9.5-point underdog. Over the past 10 seasons betting on road underdogs including pick-em that allowed less than 35% shooting in their previous game and facing a foe that has shot at least 50% from the field in each of their three previous games has earned a 43-20 ATS record for 68% winning bets. This is a system created to exploit significant regression situations, which in this game is focused on seeing Weber State shoot below their recent three game average.
01-08-26	North Alabama +6.5 v. Eastern Kentucky	Top	80-88	Loss	-110	5 h 7 m	Show
North Alabama vs Eastern Kentucky 7 EST \| ESPN+ 7-Unit bet on North Alabama priced as a 6.5-point dog. 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. If the average PPG by both teams is less than the posted total and the game number is 15 or more in the current season, these dogs have gone 27-11-1 ATS for 71% winning bets.
01-04-26	Thunder -9 v. Suns	Top	105-108	Loss	-110	9 h 43 m	Show
Thunder vs Suns 8 EST 7-Unit bet on the Thunder priced as a 9.5-point favorite. the following algorithm that has gone 257-60 (81%) SU and 191-119-7 ATS for 62% winning bets since 2004. The requirements are: •Bet on road favorites between -5.5 and -10.5 points. •Our road team has scored 5 or more points above the league average scoring level in their last three games. If the host is playing on back-to-back nights our road favorite soars to a highly profitable 45-7 (87%) SU and 36-16-1 ATS for 69% winning bets since 2004.
01-04-26	Washington v. Indiana -7.5	Top	80-90	Win	100	9 h 34 m	Show
Washington vs Indiana 8 EST. Sunday 7-Unit bet on Indiana priced as a 7.5-point favorite. Betting on home favorites between 3.5 and 9.5 points playing with four or more days of rest that are outscoring their opponents by double-digits and are coming off a game in which they led by 20 or more points at the half have earned a 84-25 SU record and 65-42-2 ATS mark good for 64% winning bets over the past 10 seasons. If the game occurs after the 10th game of the season these teams improve to 30-5 SU and 23-10-2 ATS for 70% winning bets over the past 10 seasons.
01-03-26	Monmouth +8 v. Towson	Top	62-48	Win	100	6 h 25 m	Show
Monmouth vs Towson State 6 EST 5-Unit bet on Monmouth priced as an 8-point underdog. The following sports betting algorithm has produced an exceptional 15-42 SU and 33-24 ATS record good for 58% winning bets since 2020. The requirements are: Bet on road underdogs priced between 3.5 and 9.5 points. The opponent is coming off a conference loss. The opponent is coming off a loss by three or fewer points. Our team is coming off an upset loss.
01-03-26	Lehigh v. Bucknell -3.5		65-72	Win	100	5 h 27 m	Show
Lehigh vs Bucknell 5 EST \| ESPN+ 7-Unit bet on Bucknell priced as a 3.5-point favorite. The following sports betting algorithm has produced an exceptional 32-7 SU and 29-10 ATS record good for 74.4% winning bets since 2020. The requirements are: Bet on home favorites priced between 3.5 and 9.5 points. That favorite has lost to the spread by 24 or more points over their previous three games. The dog has seen their last five games go OVER by a combined 42 or more points. The favorite lost to the spread by less than 10 points.
01-03-26	Arizona v. Utah +18.5	Top	97-78	Loss	-110	4 h 24 m	Show
Arizona vs Utah 4 EST \| Peacock 7-Unit bet on Utah priced as an 18.5-point underdog. The following sports betting algorithm has produced an exceptional 15-44 SU and 37-21-1 ATS record good for 64% winning bets since 2020. The requirements are: Bet on underdogs. They are allowing 74 to 78 PPG. The opponent is allowing 63 to 67 PPG. The opponent scored 40 or more points in the first half of each of their previous two games. If our road team is priced as a double-digit underdog, has compiled a 20-11 ATS record for 67% winning bets.
01-03-26	Tennessee +2 v. Arkansas	Top	75-86	Loss	-110	3 h 28 m	Show
Tennessee vs Arkansas 3 EST, Saturday 7-Unit bet on Tennessee priced as a 2.5-point underdog. The following NCAA Basketball betting algorithm has compiled an outstanding 18-26 SU and 26-17-1 ATS for 61% winning bets since 2006 or 20 seasons of action. Bet on road teams, The host is ranked better than our road team. Our road team is priced as a dog of not more than 4 points. Our road team is not ranked in the top 10. Over the past 10 seasons betting on road underdogs including pick-em that allowed less than 35% shooting in their previous game and facing a foe that has shot at least 50% from the field in each of their three previous games has earned a 37-18 ATS record for 67% winning bets.
01-03-26	James Madison +9.5 v. Arkansas State	Top	78-74	Win	100	3 h 29 m	Show
James Madison vs Arkansas State 3 EST, Saturday 7-Unit bet on JMU priced as an 8.5-point underdog. The following NCAA Basketball betting algorithm has compiled an outstanding 266-162-7 ATS for 62.4% winning bets since 2006 or 20 seasons of action. Bet on road teams or neutral sites that have won between 25 and 50% of their games. The opponent has won between 60 and 80% of their games. The opponent has covered the spread in 3 or 4 of their last five games. Our team has covered the spread in 1 or 2 of their last five games. Our team is priced as a dog of 7.5 to 14 points. The opponent’s ATS win percentage is between 60 and 85%.
01-03-26	North Carolina v. SMU +1.5	Top	83-97	Win	100	3 h 39 m	Show
UNC vs SMU 2:15 EST \| The CW Network 7-Unit bet on SMU priced as a 1.5-point underdog. The following sports betting algorithm has produced an exceptional 15-44 SU and 37-21-1 ATS record good for 64% winning bets since 2020. The requirements are: Bet on underdogs. They are allowing 74 to 78 PPG. The opponent is allowing 63 to 67 PPG. The opponent scored 40 or more points in the first half of each of their previous two games.
01-03-26	BYU -6.5 v. Kansas State		83-73	Win	100	2 h 55 m	Show
BYU vs Kansas State 1:30 EST 7-Unit bet on BUY priced as a 7.5-point home underdog. The following sports betting algorithm has produced an exceptional 15-44 SU and 37-21-1 ATS record good for 64% winning bets since 2020. The requirements are: Bet on underdogs. They are allowing 74 to 78 PPG. The opponent is allowing 63 to 67 PPG. The opponent scored 40 or more points in the first half of each of their previous two games.
01-02-26	Thunder -10 v. Warriors		131-94	Win	100	8 h 58 m	Show
Thunder vs Warriors 10 EST, Friday 7-Unit bet on the Thunder priced as an 10-point favorite. the following algorithm that has gone 257-60 (81%) SU and 191-119-7 ATS for 62% winning bets since 2004. The requirements are: Bet on road favorites between -5.5 and -10.5 points. •Our road team has scored 5 or more points above the league average scoring level in their last three games.
01-02-26	Kings +13.5 v. Suns		102-129	Loss	-115	7 h 57 m	Show
Kings vs Suns 9 EST 7-Unit bet on the Kings priced as a 12.5-point underdog. Betting on double-digit underdog road teams that lost to the current divisional foe in the same season and are coming off a double-digit home loss has earned an outstanding 10-28 SU and 25-13 ATS for 65.8% since 2016. This betting algorithm has not had a losing season since 2013.
01-02-26	Hawks +6.5 v. Knicks	Top	111-99	Win	100	5 h 28 m	Show
Hawks vs Knicks 7:30 EST 5-UNit bet on the Hawks priced as a 6.5-point underdog. The following NBA betting algorithm has produced a 133-200 record and 198-132-3 ATS record good 60% winning bets over the past six seasons. The requirements are: Bet on underdogs priced between 3.5 and 7.5 points. Facing a team that scored 120 or more points in each of their last two games. If the total is 230 or more points, our road dogs have gone 90-121 SU and 136-73-2 ATS for 65% winning bets since 2019.
01-02-26	Fairfield -7 v. Canisius	Top	81-85	Loss	-105	2 h 52 m	Show
Fairfield vs Canisius 4 EST 7-Unit bet on Fairfield priced as a 7.5-point favorite. The following NCAA Basketball betting algorithm has compiled a 46-30 SU (61%) and 47-28 ATS record good for 63% winning bets since 2021. The requirements are: Bet on a team with a win percentage between 51 and 60%. The opponent has a losing record. The total is 145 or more points. Our team previously lost to this foe by double digits in the previous season.
12-30-25	Pistons v. Lakers +2.5	Top	128-106	Loss	-105	7 h 10 m	Show
Pistons vs Lakers 10:30 EST, Tuesday 7-Unit bet on the Lakers priced as a 2.5-point underdog. The following betting algorithm has produced a 51-23 SU record and a 47-27 ATS mark for 64% winning bets since 1996. The requirements are: Bet on any team that is coming off a 15 or greater-point victory over a divisional rival. This team has lost the previous two meetings against the current opponent priced as favorites. The Lakers defeated the Kings by 24 points (125-101). If our team won their previous game by 20 or more points has compiled a highly profitable 29-8 SU (78%) and 28-9 ATS for 76% winning bets.
12-30-25	Notre Dame v. Stanford -7	Top	47-40	Loss	-104	6 h 31 m	Show
Notre Dame vs Stanford 9 EST. Tuesday 7-Unit bet on Stanford priced as a 7-point favorite. The following NCAAM betting algorithm has compiled a 50-7 SU and 29-18 ATS record good for 62% winning bets since 2007. The required criteria are: Bet on home teams that have won their last two games. The home team is averaging 80 or more points per game. The home team and their previous opponent both scored 80 or more points. The home team has won their last two games. The road team is coming off a loss by three or fewer points. If the road team is playing on four or more days of rest, our home teams have compiled an impressive 16-2 SU (89%) and 9-3 ATS record for 75% winning bets since 2007.

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