Handicapper John Ryan’s March Madness Picks & Predictions

	John Ryan
	Ryan's 10-UNIT NCAAB Game of the Month 105-78 Run! Backed by an 80% ATS team situation you will love. 14-4 ATS with 10-UNIT MAX Berts since July!!!!

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**3x Top 10 Basketball handicapper!**

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**#3 ranked NCAA-B in 2010-11**
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**#9 ranked Overall in 2009**

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**3x Top 10 Basketball handicapper!**

**#4 ranked NCAA-B handicapper on this site!**
**#11 ranked Overall handicapper on this site!**

**#2 ranked NCAA-B in 2010-11**
**#6 ranked NCAA-B in 2014-15**
**#7 ranked NCAA-B in 2008-09**
**#9 ranked NCAA-B in 2012-13**
**#8 ranked Overall in 2009**
**#10 ranked Overall in 2011**
**#10 ranked Overall in 2016**

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YESTERDAY'S PLAYS
Matchup	Selection	W/L
NBA \| Feb 12, 2026 Bucks vs Thunder	Bucks +12½ -110 at Buckeye	Won $100
Play Type: Top Premium
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.
Matchup	Selection	W/L
NBA \| Feb 12, 2026 Blazers vs Jazz	Blazers -7½ -105 at betonline	Won $100
Play Type: Premium
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.
Matchup	Selection	W/L
NCAA-B \| Feb 12, 2026 IUPU Ft Wayne vs Green Bay	IUPU Ft Wayne +107 at betonline	Lost $100.0
Play Type: Top Premium
Purdue- Ft. Wayne vs Wisconsin Green Bay 7-Unit bet on Ft. Wayne priced as a 1.5-point underdog. Road Underdog Algorithm – Turnover Discipline Edge Algorithm Performance Overview This NCAA Basketball betting algorithm has delivered notable results, posting a 36-63 straight-up (SU) record (36%) alongside a strong 62-37 mark against the spread (ATS). This translates into a solid 63% win rate for ATS wagers since 2019. Qualifying Criteria Target road underdogs, including pick-em scenarios. The road team must have committed 11 or fewer turnovers in each of their last four games, demonstrating consistent ball security. The opponent enters the matchup after a double-digit victory in which they committed 8 or fewer turnovers, signaling recent efficiency. Summary Focusing on disciplined road teams facing efficient opponents fresh off a convincing win, this algorithm identifies high-value underdog opportunities against the spread.
Matchup	Selection	W/L
NCAA-B \| Feb 12, 2026 Tennessee State vs Southern Indiana	Tennessee State -6½ -108 at Draft Kings	Lost $108.0
Play Type: Top Premium
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.
Matchup	Selection	W/L
NCAA-B \| Feb 12, 2026 Marist vs Merrimack	OVER 128½ -110	Won $100
Play Type: Top Premium
Marist vs Merrimack 7-Unit bet OVER the posted total currently priced at 129.5 points. Advanced Lesson: Specialty OVER Algorithm – Low Total, Recent Dominance Algorithm Performance Overview This betting algorithm has demonstrated strong results, achieving a 21-9 record on OVER wagers since 2019, equating to a 70% win rate in qualifying games. Qualifying Criteria Target games with a posted total between 120 and 130 points. At least one team (in this case, Merrimack) must have won their previous three games each by double-digit margins. The opponent in the matchup should have allowed 65 or fewer points in each of their last three contests. Summary When these precise conditions are met, the algorithm indicates a strong opportunity for betting the OVER, leveraging recent team dominance and defensive performance trends.
Matchup	Selection	W/L
NCAA-B \| Feb 12, 2026 Northern Iowa vs Belmont	Northern Iowa +5½ -115 at PlayMGM	Won $100
Play Type: Top Premium
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.

PREMIUM PICK STREAKS

SERVICE BIO
John Ryan has been handicapping professional sports for over 26 years. He has either won or placed in the Top-10 in dozens of contests. John's success begins with the philosophy that goals are based and measured in the longer-term, and that over time consistency is what promotes success. Every new client is informed that there are no guarantees for profit or that any past performances can be counted on toward futures results. They provide full disclosure that gambling is dangerous but can be a lot of fun if done in a very disciplined manner. The key to benefiting from the JRS team’s algorithm programs and database systems is to consistently invest the same amount of money on each selection. This process will ensure that the client’s bankroll their investment return will be fully optimized. These quantitative methods eliminate any human subjectivity from all selection processes. The base computer systems are based on combinatorial algorithms and an adaptive-structure Neural Network. In summary, our systems calculate and analyze several million pieces of game data and then optimizes the data to produce the best possible forecasts. The systems also optimize team streaks and momentum much like their technical analysis of a stock, futures, or even bitcoin. As seen in the financial markets for decades and personally learned from a vast investment banking career on Wall Street, the team applies a contrarian weighting to the betting consensus and team trends. For example, if a given trend in any sport is posting a 15-2 ATS, then the model may project that the trend has topped and is more likely to reverse. Then, the team quantifies and compares the game matchups. The top matchups supporting the pick are then detailed in the comprehensive report that is provided for each selection. These reports will concisely state why a given team has been selected and once you have read through the report your mind will be filled with the confidence and trust to invest your hard-earned money too. JRS is a cutting-edge technology company whose sports information is unique, informative, and has produced strong predictive results. The key is committing to a full season. If you make that decision, you will not be disappointed. After all, they have been around for 22 years with a proven track record of success and treating clients with the respect that it takes hard work week after week and not with the hype of a Game of the Month or Game of the Year Lock.

John Ryan has been handicapping professional sports for over 26 years. He has either won or placed in the Top-10 in dozens of contests.

John's success begins with the philosophy that goals are based and measured in the longer-term, and that over time consistency is what promotes success. Every new client is informed that there are no guarantees for profit or that any past performances can be counted on toward futures results. They provide full disclosure that gambling is dangerous but can be a lot of fun if done in a very disciplined manner.

The key to benefiting from the JRS team’s algorithm programs and database systems is to consistently invest the same amount of money on each selection. This process will ensure that the client’s bankroll their investment return will be fully optimized.

These quantitative methods eliminate any human subjectivity from all selection processes. The base computer systems are based on combinatorial algorithms and an adaptive-structure Neural Network. In summary, our systems calculate and analyze several million pieces of game data and then optimizes the data to produce the best possible forecasts. The systems also optimize team streaks and momentum much like their technical analysis of a stock, futures, or even bitcoin.

As seen in the financial markets for decades and personally learned from a vast investment banking career on Wall Street, the team applies a contrarian weighting to the betting consensus and team trends. For example, if a given trend in any sport is posting a 15-2 ATS, then the model may project that the trend has topped and is more likely to reverse.

Then, the team quantifies and compares the game matchups. The top matchups supporting the pick are then detailed in the comprehensive report that is provided for each selection. These reports will concisely state why a given team has been selected and once you have read through the report your mind will be filled with the confidence and trust to invest your hard-earned money too.

JRS is a cutting-edge technology company whose sports information is unique, informative, and has produced strong predictive results. The key is committing to a full season. If you make that decision, you will not be disappointed. After all, they have been around for 22 years with a proven track record of success and treating clients with the respect that it takes hard work week after week and not with the hype of a Game of the Month or Game of the Year Lock.

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