John Ryan Predictive Playbook Betting Picks
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.
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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.
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All Sports Sides (+8066) 2682-2490 L5172 52%
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Top NBA Picks (+2950) 524-454 L978 54%
Top NCAA-B Sides (+2679) 72-41 L113 64%
NFLX Picks (+2472) 49-23 L72 68%
MLB Money Lines (+2201) 51-32 L83 61%
NFL Sides (+1691) 182-152 L334 54%
WNBA Picks (+1121) 52-37 L89 58%
Top CFL Picks (+703) 33-24 L57 58%
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Free picks
Cal State Northridge vs UC-Riverside
5-Unit bet on CS-Northridge priced as a 2.5-point favorite.
The following NCAA betting algorithm has earned a 195-131 ATS record good for 60% winning bets since 1996. The requirements are:
Bet on road teams priced between the 3’s.
They are coming off a blowout win by 20 or more points.
Both teams have won between 60 and 80% of their games.
Team Dynamics: Matadors’ Surge vs. Highlanders’ BalanceCal State Northridge has been on fire, averaging 80.8 points per game (47th nationally) with a 46.2% field goal percentage (88th) and forcing 12.6 turnovers per game (103rd). Their recent 6-0 stretch includes an 89-85 road win over Cal Poly, showcasing their ability to thrive away from home (9-4 road record, 9-4 ATS). They dominate the glass (38.2 RPG, 62nd) and play at a brisk pace (70.1 possessions), overwhelming opponents with transition scoring (13.2 fast-break points per game). UC Riverside counters with a balanced attack (75.2 PPG, 148th) and a decent defense (71.8 PPG allowed, 168th), but their 34.2% three-point shooting (164th) and middling rebounding (35.6 RPG) could leave them vulnerable against Northridge’s aggression.The Matadors’ 20-7 ATS record this season (best in the Big West) contrasts with UC Riverside’s 14-13 ATS clip, and Northridge’s 5-1 ATS mark in their last six road games signals they’re built for this spot. In their earlier meeting this season (December 5, 2024), Northridge won 75-68 at home, outrebounding UCR 38-32 and forcing 13 turnovers. If they replicate that formula, they could turn a close game into a rout.Key Player MatchupsMarcus Adams Jr. (CSUN) vs. Barrington Hargress (UCR)Marcus Adams Jr. (17.8 PPG, 5.2 RPG, 47.1% FG) is peaking, averaging 23.5 points over his last four games. He’ll face UC Riverside’s Barrington Hargress (14.6 PPG, 4.8 APG, 1.4 SPG), a crafty guard who scored 16 in the first matchup. Adams’ size (6’8”) and scoring versatility could exploit Hargress’ 6’0” frame, especially in the paint. If Adams gets going, he’ll stretch UCR’s defense thin.Scotty Washington (CSUN) vs. Isaiah Moses (UCR)
Scotty Washington (14.6 PPG, 39.2% 3PT) is a lethal shooter, dropping 29 against Cal Poly. He’ll match up with Isaiah Moses (12.9 PPG, 36.1% 3PT), who had 15 in the prior meeting. Washington’s quick release and 2.1 threes per game could outpace Moses’ defense, especially if Northridge forces UCR into scramble mode with their 12.6 turnovers forced per game.Keonte Jones (CSUN) vs. Kyle Owens (UCR)
Keonte Jones (11.9 PPG, 7.1 RPG, 2.1 SPG) is a two-way force, shooting 53.2% and anchoring Northridge’s rebounding. Kyle Owens (10.8 PPG, 5.6 RPG, 41.7% 3PT) is UCR’s stretch forward, but Jones’ athleticism and defensive versatility could neutralize him. Jones’ ability to crash the glass and run could turn rebounds into transition buckets.Dionte Bostick (CSUN Bench) vs. Nate Pickens (UCR Bench)
Dionte Bostick (14.2 PPG, 48.1% FG) is a dynamic sixth man, scoring 18 against UCR earlier. Nate Pickens (9.2 PPG, 1.2 SPG) brings energy off UCR’s bench, but Bostick’s scoring efficiency and knack for big moments (20+ in three of his last six) could give Northridge a decisive edge in reserve production.Why Cal State Northridge Can Win by 7+ PointsCal State Northridge has the tools to pull away and win by 7 or more. Their offense, averaging 84.3 points over their six-game win streak, outstrips UC Riverside’s 71.8 defensive average by a wide margin. In the December matchup, Northridge shot 47.2% and won the rebounding battle, two trends likely to continue given UCR’s 35.6 RPG (225th) and 44.6% opponent field goal defense (238th). The Matadors’ pressure defense (12.6 turnovers forced) exploits UCR’s 11.4 turnovers per game, potentially fueling 15-18 fast-break points—a difference-maker in a projected high-scoring game (154.5 total).Northridge’s 20-7 ATS record and 5-1 ATS in their last six road games reflect their ability to dominate as underdogs, while UCR’s 3-4 ATS mark in their last seven home games hints at vulnerability. The Matadors’ depth—eight players averaging 5+ points—outshines UCR’s reliance on starters (five players at 8+ PPG). If Adams and Washington combine for 40+ points and Jones controls the boards, Northridge could lead by double digits late. Their 80-68 win over UCR last season by 12 points further bolsters this case.
YESTERDAY'S PLAYS
Match Up | Pick | Rating | Score | Result | Profit | Analysis |
---|---|---|---|---|---|---|
Pistons vs Clippers | Clippers +4½ -108 | Premium | 115-123 | Win | 100 | Show |
Jazz vs Wizards | Wizards -5 -108 | Premium | 122-125 | Loss | -108 | Show |
Wolves vs Hornets | Hornets +8½ -115 | Premium | 125-110 | Loss | -115 | Show |
Wolves vs Hornets | UNDER 226 -105 | Free | 125-110 | Loss | -105 | Show |
Thunder vs Grizzlies | Thunder -7½ -108 | Premium | 120-103 | Win | 100 | Show |
Mavs vs Bucks | Mavs +11½ -115 | Top Premium | 107-137 | Loss | -115 | Show |
Capitals vs Rangers | Capitals -112 | Top Premium | 3-2 | Win | 100 | Show |
La Salle vs George Mason | La Salle +12½ -108 | Premium | 62-69 | Win | 100 | Show |
Clemson vs Boston College | UNDER 137½ -108 | Top Premium | 78-69 | Loss | -108 | Show |
Wagner vs St Francis PA | St Francis PA -2 -115 | Premium | 55-58 | Win | 100 | Show |
Missouri vs Oklahoma | Oklahoma +5 -108 | Premium | 84-96 | Win | 100 | Show |
Florida vs Alabama | Florida +3½ -108 | Premium | 99-94 | Win | 100 | Show |
PICKS IN PROGRESS
Bulls vs Magic
7-Unit bet on the Bulls priced as 7-point underdogs.
The following NBA betting algorithm has earned a 44-62 SU and 68-37-1 ATS record good for 65% winning bets over the past five seasons. The requirements are:
Bet on road teams avenging a same-season loss.
That road team is coming off a double-digit home loss.
The game occurs after the all-star break.
Team Dynamics: Bulls’ Offense vs. Magic’s Defense
The Bulls enter tonight averaging 116.5 points per game (10th in the NBA) and excelling from beyond the arc with 15.9 three-pointers made per game (3rd in the league) at a 36.8% clip (10th). This offensive potency could exploit Orlando’s well-documented struggles on that end of the floor. The Magic rank dead last in the NBA in scoring (104.0 PPG), three-pointers made (10.8), and three-point percentage (30.5%). While Orlando boasts the league’s best defense (105.7 PPG allowed), their recent slide—coupled with a lack of offensive rhythm—could leave them vulnerable to Chicago’s faster-paced, perimeter-oriented attack.
Chicago’s ability to push the tempo and capitalize on Orlando’s fourth-worst rebounding (41.9 RPG) could further widen the gap. The Bulls, averaging 45.2 rebounds per game (9th in the NBA), have a chance to dominate second-chance opportunities, especially if Orlando’s frontcourt depth is tested. The Magic’s defensive identity has kept them in games, but their offensive woes might not keep pace with a Bulls team desperate to snap out of their funk.
Key Player Matchups Favoring the Bulls
Coby White (Bulls) vs. Anthony Black (Magic)
Coby White has been a revelation for Chicago, averaging 18.2 points per game and coming off a 25-point outburst against Cleveland. His recent form—scoring 21+ points in his last three games—makes him a matchup nightmare for Orlando’s Anthony Black (9.1 PPG, 3.2 APG). White’s quickness and ability to shoot from deep (38.0% from three) could overwhelm Black, who’s still finding his footing as a young guard. If White gets hot early, he could dictate the game’s tempo and pull Orlando’s defense out of position.
Josh Giddey (Bulls) vs. Kentavious Caldwell-Pope (Magic)
Josh Giddey’s versatility (13.2 PPG, 7.5 RPG, 6.6 APG) gives the Bulls an edge over Orlando’s Kentavious Caldwell-Pope, a defensive stalwart but limited offensive contributor. Giddey’s playmaking and rebounding prowess—he’s hit 18+ points in his last six games—could exploit KCP’s focus on perimeter defense. If Giddey penetrates and dishes to open shooters or crashes the boards, Chicago could rack up extra possessions against a Magic team that struggles to generate offense.
Jalen Smith (Bulls) vs. Wendell Carter Jr. (Magic)
With Nikola Vucevic doubtful (calf), the Bulls’ frontcourt depth takes center stage. Jalen Smith (8.3 PPG, 5.4 RPG) brings energy off the bench, as evidenced by his recent double-double (13 points, 11 rebounds) in limited minutes. Wendell Carter Jr. (9.0 PPG, 7.5 RPG) is a solid defender for Orlando, but his modest scoring output might not match Smith’s hustle. If Smith capitalizes on second-chance points or draws Carter out of the paint, the Bulls could feast inside against a potentially depleted Magic rotation.
Talen Horton-Tucker (Bulls Bench) vs. Magic Depth
Chicago’s bench could be the X-factor, with Talen Horton-Tucker (22 points vs. Cleveland) providing a spark. Orlando’s depth has been hit hard by injuries this season, and their reliance on starters like Paolo Banchero (23.6 PPG) and Franz Wagner (25.0 PPG) might not hold up if the Bulls’ reserves keep the pressure on. Horton-Tucker’s scoring punch could expose Orlando’s thinner second unit, especially if the Magic’s stars tire late.
Why the Bulls Could Upset the Magic
The Bulls’ path to victory hinges on their ability to turn this into a shootout. Orlando’s elite defense thrives in low-scoring, grind-it-out games, but their offense lacks the firepower to keep up if Chicago’s shooters catch fire. The Magic’s recent 133-119 win over the Bulls on November 27 showed their potential when clicking, but without Banchero in that game, they leaned on depth that’s since been inconsistent. Chicago’s 5-2 ATS record in their last seven games suggests they’ve been competitive as underdogs, while Orlando’s 1-4 ATS mark in their last five hints at vulnerability.
If the Bulls exploit Orlando’s poor three-point shooting and rebounding, lean on White and Giddey to control the pace, and get contributions from their bench, they could steal this one on the road. Prediction: Bulls 112, Magic 108—a gritty upset fueled by Chicago’s offense outpacing Orlando’s defensive resolve.
Warriors vs Nets
7-Unit bet on the Warriors priced as 10.5-point favorites.
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.
If our team is favored by 7.5 or more points, they have gone 67-4 SU and 49-21 ATS for 70% winning bets.
Michigan State vs Iowa
7-Unit bet on the UNDER currently priced at 151.5 points.
The following NCAA Basketball algorithm has produced a 53-23-2 record good for 70% winning bets since 2019. The requirements are:
Bet the UNDER in a conference matchup.
The road team is riding a five ore-game ATS win streak.
The road team has won 80% or more of their games.
Team Dynamics: Defensive Grit vs. Offensive Struggles
Michigan State’s identity under Tom Izzo is rooted in defense, and this year’s squad is no exception. The Spartans rank 36th nationally, allowing just 66.6 points per game, and have held opponents under 66 points in 12 of their 29 contests—hitting the under in 20 games (69%). Their suffocating half-court defense limits second-chance opportunities (40.2 RPG, 17th in NCAA) and forces teams into inefficient shots, ranking 216th in opponent assists per field goal made (53.3%). Iowa, meanwhile, boasts a potent offense (82.2 PPG) fueled by elite assist numbers (18.3 APG, 6th) and a 37.6% three-point clip (24th), but their defense is porous, surrendering 79.1 points per game (307th). The Hawkeyes’ Achilles’ heel is rebounding—dead last in the Big Ten at 32.0 RPG—which could stifle their fast-paced style against MSU’s physical frontcourt.
Recent trends reinforce the low-scoring potential. Iowa’s offense has sputtered on the road lately, averaging 67.7 points over their last three away losses, while MSU’s last five games—all wins—have averaged a combined 138.8 points (well below 152). The Spartans’ deliberate pace (68.2 possessions per game) and Iowa’s struggles against top-tier defenses (e.g., 61 points at Illinois) suggest a grind-it-out affair. Historical series data backs this up: four of the last five meetings have gone under 152, including a 73-65 MSU win last season.
Key Player Matchups Favoring a Low-Scoring Game
Jaden Akins (MSU) vs. Josh Dix (Iowa)
Jaden Akins (12.9 PPG, 3.7 RPG) anchors MSU’s backcourt with defensive tenacity and timely scoring (42.1% FG). Facing Iowa’s Josh Dix (14.0 PPG, 38.5% 3PT), Akins’ quickness and length could disrupt Dix’s rhythm, especially from deep—Iowa relies on his 2.7 threes per game. MSU ranks 267th in opponent three-point attempts per field goal made, meaning they funnel shooters into contested looks. If Akins locks down Dix, Iowa’s perimeter game stalls, capping their scoring ceiling.
Jaxon Kohler (MSU) vs. Owen Freeman (Iowa)
Jaxon Kohler (7.9 PPG, 7.9 RPG) has been a rebounding machine for MSU, and his physicality in the paint could neutralize Iowa freshman Owen Freeman (16.7 PPG, 6.7 RPG). Freeman’s efficiency (61.7% FG) thrives on post-ups and putbacks, but Kohler’s size and MSU’s team rebounding edge (40.2 vs. Iowa’s 32.0 RPG) limit second-chance points. Freeman’s scored just 11.3 PPG over his last three road games against tougher defenses—Kohler could keep him under wraps, forcing Iowa to settle for jumpers.
Tre Holloman (MSU) vs. Payton Sandfort (Iowa)
Tre Holloman (8.6 PPG, 3.9 APG) brings pesky on-ball defense and playmaking to MSU’s guard rotation. He’ll likely draw Payton Sandfort (16.1 PPG, 6.2 RPG, 36.8% 3PT), Iowa’s top scoring threat. Sandfort’s versatility—shooting threes and attacking off the dribble—fuels Iowa’s offense, but Holloman’s quick hands and MSU’s 7.2 steals per game could force turnovers (Iowa averages 10.3). Sandfort’s 13-point dud at Northwestern shows vulnerability against athletic defenders—expect Holloman to keep him in check.
Jeremy Fears Jr. (MSU Bench) vs. Brock Harding (Iowa Bench)
MSU’s sparkplug Jeremy Fears Jr. (6.8 PPG, 5.6 APG) thrives in transition but also hounds ball-handlers, bolstering a defense that’s held 10 foes under 60 points. Iowa’s Brock Harding (8.8 PPG, 5.4 APG) mirrors that energy, pushing tempo off the bench. However, MSU’s depth—eight players averaging 5.5+ PPG—outmatches Iowa’s (seven deep), and Fears’ pressure could disrupt Harding’s rhythm. Fewer clean looks for Iowa’s reserves mean fewer points overall.
Why the Game Stays Under 152
The recipe for a low-scoring game is clear: Michigan State’s elite defense (66.6 PPG allowed) thrives at home (14-1, 6 unders in last 7), while Iowa’s offense falters away from Carver-Hawkeye Arena (3-8 road record, 61-80-57 in last three losses). The Spartans’ rebounding dominance neutralizes Iowa’s transition game, forcing a half-court battle where MSU excels. Iowa’s 37.6% three-point shooting sounds dangerous, but MSU’s perimeter D—allowing 33.8% from deep—can contest enough to keep the total down. Add in a 6-4 under trend in the last 10 series meetings, and the data aligns: this game could land in the 130-140 range.
Prediction: Michigan State 71, Iowa 63—a gritty, defensive struggle that cashes the under with room to spare. Catch it live on FS1 and see if the Big Ten’s physicality delivers a classic low-scoring showdown!
Utah Tech vs Grand Canyon
7-Unit bet on Utah Tech priced as a 16.5-point underdog.
The following NCAA betting algorithm has produced a 5-47 SU and 36-16 ATS record good for 69% winning bets since 2006. The requirements are:
Bet on underdogs priced at 13.5 or more points.
They have lost their last three games to conference foes.
They are playing on three or more days of rest.
The opponent is coming off an upset road win.
Key Player Matchups
Beon Riley (Utah Tech) vs. Tyon Grant-Foster (Grand Canyon)
Beon Riley (13.8 PPG, 7.6 RPG, 47.8% FG) is Utah Tech’s versatile forward, capable of scoring inside and out (36.4% 3PT). He’ll face Grand Canyon’s star Tyon Grant-Foster (19.8 PPG, 6.1 RPG, 1.7 SPG), a dynamic scorer who’s hit 20+ points in five of his last seven games. Riley’s physicality could challenge Grant-Foster’s drives, but containing his explosiveness (44.8% FG) will be tough. If Riley keeps pace offensively, he could mitigate the damage.
Noa Gonsalves (Utah Tech) vs. Ray Harrison (Grand Canyon)
Noa Gonsalves (14.1 PPG, 37.8% 3PT) leads Utah Tech’s backcourt with sharpshooting and steady play (1.6 APG, 1.1 SPG). He’ll match up with Ray Harrison (14.2 PPG, 4.8 APG, 38.1% 3PT), Grand Canyon’s floor general who dropped 18 in their last meeting. Gonsalves’ 2.2 threes per game could exploit Harrison’s defensive focus on playmaking, but Harrison’s speed might force turnovers. A strong night from Gonsalves keeps Utah Tech in striking distance.
Dominick Nelson (Utah Tech) vs. Gabe McGlothan (Grand Canyon)
Dominick Nelson (15.2 PPG, 5.4 RPG, 49.2% FG) brings scoring punch off Utah Tech’s bench, attacking the rim effectively. He’ll face Gabe McGlothan (13.1 PPG, 7.4 RPG, 1.3 BPG), a defensive anchor who controls the paint. Nelson’s quickness could draw McGlothan out of position, but Grand Canyon’s 39.2 rebounds per game dwarf Utah Tech’s 33.8. Nelson needs to hit mid-range shots to stretch the defense.
Carter Welling (Utah Tech) vs. Lok Wur (Grand Canyon Bench)
Carter Welling (12.6 PPG, 5.9 RPG, 1.7 BPG) is Utah Tech’s rim protector and a growing offensive threat (46.7% FG). Lok Wur (7.8 PPG, 4.2 RPG, 38.5% 3PT) adds versatility off Grand Canyon’s bench, stretching the floor. Welling’s blocks could deter Grand Canyon’s drives, but Wur’s outside shooting might pull him away from the basket. If Welling holds his own, Utah Tech limits easy buckets.
Why Utah Tech Can Lose by Single Digits
Despite Grand Canyon’s superior talent and home dominance, Utah Tech has the ingredients to keep this close. Their three-point shooting (37.1%, 7.8 makes per game) is a weapon against Grand Canyon’s defense, which allows 7.2 threes per game (34.6%). In their February matchup, Utah Tech hit 9 of 22 from deep, staying within 12 despite a late collapse. Recent road losses—e.g., 74-64 at Seattle U—show they can hang with top WAC teams, and their 5-2 ATS record in their last seven as road underdogs signals resilience.
The Trailblazers’ path hinges on ball security (11.6 turnovers vs. Grand Canyon’s 7.6 steals) and hot shooting to offset Grand Canyon’s rebounding edge (39.2 vs. 33.8 RPG). Grand Canyon’s 11 straight home wins include blowouts, but Utah Tech’s 80-76 loss at Abilene Christian and 73-61 defeat to GCU earlier suggest they can avoid a rout. If Riley and Gonsalves combine for 30+ points and the bench chips in, the margin stays tight.
Prediction: Grand Canyon 78, Utah Tech 70—a competitive loss within single digits (8 points), as Utah Tech’s shooters keep it close but can’t overcome the Antelopes’ depth. Watch it live on ESPN+ and see if the Trailblazers defy expectations tonight!
Utah Valley vs Abilene Christian
7-unit bet on the Abilene Christian priced as a 3.5-point underdog.
The following NCAA basketball betting algorithm has produced a 12-12 SU and 18-6 ATS record good for 75% winning bets since 2015.
Bet on home underdogs priced between pick and 4 points.
The home team has won 40 to 49% of their games.
The total is 140 or fewer points.
The road team has a winning record.
The game occurs in March.
Why Abilene Christian Can Win as an Underdog
Despite the betting markets favoring Utah Valley, Abilene Christian has a clear path to victory. Their defensive pressure—highlighted by a 23rd-ranked 8.8 steals per game—can exploit Utah Valley’s middling ball security (11.9 turnovers per game). In their earlier meeting this season (January 11, 2025), the Wildcats forced 15 turnovers in an 82-74 loss, but kept it competitive until late. Since then, Abilene Christian has won 7 of 10, with Dibba and Simmons peaking at the right time. Their 10-4 ATS record in their last 14 games shows they thrive when underestimated.
The Wildcats’ aggressive style could also draw fouls on Utah Valley’s key players—Abilene Christian ranks 48th in free-throw attempts (22.1 per game)—potentially neutralizing Christensen and Allen if they sit with foul trouble. Offensively, Dibba’s scoring surge (15.8 PPG, up from 11.9 last year) and Madden’s three-point threat (2.1 makes per game) give them enough firepower to hang with Utah Valley’s balanced attack. If they keep the game in the low 70s, where they’ve won 5 of 6 this season, the Wildcats can steal this on the road.
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.
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