AI betting stats / ChatGPT
ChatGPT betting tips
Use the filters below to select a sport, tournament, and date range. Then open any match to see full
predictions.
Event Date
ROI: -4.5%
Win Rate: 46.3%
Avg. Odds: 2.92
ChatGPT ROI
ROI based on real bookmaker odds, match outcome market only 1X2 (Win/Draw/Win)
ChatGPT match-outcome win rate (1X2)
Match & Predictions
6 of 6 AI models pick
Wisconsin Badgers
to win at 1.27
25/09/20 - 16:00 (UTC)
Wisconsin Badgers
Maryland Terrapins
tip from ChatGPT
Wisconsin Badgers
Back Wisconsin on the moneyline at 1.28; home-field, trench dominance, and pace control push their win probability above the market’s breakeven.
5 of 6 AI models pick
TCU Horned Frogs
to win at 1.41
25/09/20 - 16:00 (UTC)
TCU Horned Frogs
SMU Mustangs
tip from ChatGPT
SMU Mustangs
Backing SMU at 3.11 offers a value edge in a volatile rivalry; my numbers make this closer to +190, so the underdog price is worth the swing.
6 of 6 AI models pick
Utah Utes
to win at 1.59
25/09/20 - 16:00 (UTC)
Utah Utes
Texas Tech Red Raiders
tip from ChatGPT
Utah Utes
Utah’s home-field edge at Rice‑Eccles plus a trench and special-teams advantage make the Utes a small but real value at -165. Texas Tech’s volatility plays worse on the road, tilting EV toward the favorite.
4 of 6 AI models pick
Army Black Knights
to win at 2.22
25/09/20 - 16:00 (UTC)
Army Black Knights
North Texas Mean Green
tip from ChatGPT
Army Black Knights
Backing Army’s home moneyline at +119 offers positive value in a low-possession matchup where their run-heavy, disciplined style negates North Texas’s edge. Michie Stadium, pace control, and UNT’s run-defense questions tilt this toward the Black Knights.
6 of 6 AI models pick
Louisville Cardinals
to win at 1.03
25/09/20 - 16:00 (UTC)
Louisville Cardinals
Bowling Green Falcons
tip from ChatGPT
Louisville Cardinals
Back Louisville on the moneyline; the talent, scheme, and home-field edges make their true win probability likely higher than the already steep implied mark.
6 of 6 AI models pick
Clemson Tigers
to win at 1.13
25/09/20 - 16:00 (UTC)
Clemson Tigers
Syracuse Orange
tip from ChatGPT
Clemson Tigers
Take Clemson on the moneyline at 1.12; my fair price is closer to the -950 range, making this a small but positive-EV play against an overmatched Syracuse on the road.
Models disagree; no reliable consensus
25/09/20 - 16:00 (UTC)
Memphis Tigers
Arkansas Razorbacks
tip from ChatGPT
Memphis Tigers
Value on the home dog: Memphis at 3.35 projects above its break-even, while Arkansas at 1.35 looks overpriced for a road favorite. Take the Tigers moneyline for positive EV.
4 of 6 AI models pick
James Hendin
to win at 1.08
25/09/20 - 16:00 (UTC)
James Hendin
Ayton De Paepe
tip from ChatGPT
Ayton De Paepe
Taking the value on Ayton De Paepe at +325; the break-even is just 23.5%, and MMA variance makes that threshold realistically beatable. Hendin may be likelier, but the price on the favorite is too rich.
4 of 6 AI models pick
Denis Frimpong
to win at 1.38
25/09/20 - 16:00 (UTC)
Denis Frimpong
Peter Gabal
tip from ChatGPT
Peter Gabal
Taking Peter Gabal at 3.00 for his superior finishing equity and a true win probability that likely exceeds the 33% break-even, making the favorite at 1.33 a negative-EV lay.
5 of 6 AI models pick
Fedor Duric
to win at 1.10
25/09/20 - 16:00 (UTC)
Fedor Duric
Petru Buzdugan
tip from ChatGPT
Fedor Duric
Back Fedor Duric at -1100; his control-oriented paths and low-variance profile likely exceed the 91.7% break-even, making the small return a positive-value play.
Models disagree; no reliable consensus
25/09/20 - 16:00 (UTC)
Hafeni Nafuka
Kevin Enz
tip from ChatGPT
Hafeni Nafuka
Backing Hafeni Nafuka at 1.10 as the clear A-side with multiple paths to victory; Kevin Enz’s chance at 6.50 looks like a true long shot.
6 of 6 AI models pick
South Florida Bulls
to win at 1.00
25/09/20 - 16:00 (UTC)
South Florida Bulls
South Carolina State Bulldogs
tip from ChatGPT
South Florida Bulls
Backing South Florida on the moneyline at 1.02 for a small but real edge; the AAC talent and depth at home make the Bulldogs’ 17.00 longshot price look rich.
6 of 6 AI models pick
Virginia Tech Hokies
to win
25/09/20 - 16:00 (UTC)
Virginia Tech Hokies
Wofford Terriers
tip from ChatGPT
Virginia Tech Hokies
Massive talent and depth edge at home make Virginia Tech the clear pick over FCS Wofford. Expect the Hokies to control the trenches and the game script from the start.
4 of 6 AI models pick
Łukasz Charzewski
to win at 1.63
25/09/20 - 16:00 (UTC)
Piotr Kacprzak
Łukasz Charzewski
tip from ChatGPT
Piotr Kacprzak
Slight value on the wrestler: Kacprzak’s repeatable takedowns and control make a close fight play more like a coin flip than the 1.68 vs. 2.06 pricing suggests.
4 of 6 AI models pick
Michal Dreczkowski
to win at 1.24
25/09/20 - 16:00 (UTC)
Michal Dreczkowski
Adam Tomasik
tip from ChatGPT
Adam Tomasik
Taking the plus-money on Adam Tomasik at 2.80 offers better long-term value than laying 1.38 on a volatile MMA favorite. In a three-round fight with high variance, his win probability likely exceeds the price.
5 of 6 AI models pick
Krystian Blezien
to win at 2.10
25/09/20 - 16:00 (UTC)
Krystian Blezien
Sasha Moisa
tip from ChatGPT
Krystian Blezien
Pick the wrestler in a pick-em: Blezien’s grappling and minute-winning tools should neutralize Moisa’s striking at 1.85.
4 of 6 AI models pick
Sebastian Decowski
to win at 1.35
25/09/20 - 16:00 (UTC)
Sebastian Decowski
Przemyslaw Gorny
tip from ChatGPT
Przemyslaw Gorny
Backing Przemyslaw Gorny at +170 as the value side in a volatile three-round fight where damage can trump control and the favorite’s -245 tag looks inflated.
6 of 6 AI models pick
Alina Dalaslan
to win at 1.07
25/09/20 - 16:00 (UTC)
Alina Dalaslan
Clara Ricignuolo
tip from ChatGPT
Alina Dalaslan
Back Alina Dalaslan on the moneyline at 1.07; the market signals a clear skill gap, making the high-probability side the smartest $1 play despite the modest payout.
4 of 6 AI models pick
Attila Korkmaz
to win at 1.19
25/09/20 - 16:00 (UTC)
Attila Korkmaz
David Tonatiuh Crol
tip from ChatGPT
David Tonatiuh Crol
Taking David Tonatiuh Crol at +230 for the value: the underdog’s break-even is only ~30%, and MMA variance plus finishing equity can punish inflated chalk at -345.
4 of 6 AI models pick
Georg Bilogrevic
to win at 1.68
25/09/20 - 16:00 (UTC)
Georg Bilogrevic
David Hosek
tip from ChatGPT
David Hosek
Pick David Hosek at -118: his pressure boxing and body work more reliably create damage and judging optics than Bilogrevic’s range-first approach.