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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: -6.8%
Win Rate: 44.4%
Avg. Odds: 2.93
ChatGPT ROI
ROI based on real bookmaker odds, match outcome market only 1X2 (Win/Draw/Win)
ChatGPT match-outcome win rate (1X2)
Match & Predictions
Models disagree; no reliable consensus
25/10/05 - 00:40 (UTC)
Chris Gutierrez
Farid Basharat
tip from ChatGPT
Chris Gutierrez
The price on Farid Basharat at 1.21 is too steep; Chris Gutierrez’s leg kicks, defense, and durability make him a live underdog at 4.65 with real decision equity.
Lost
Models disagree; no reliable consensus
25/10/05 - 00:30 (UTC)
Chicago Fire
Toronto FC
tip from ChatGPT
Toronto FC
Price over performance: Chicago at 1.50 is inflated, making Toronto’s 6.58 a positive-EV swing in a high-variance MLS spot.
Lost
5 of 6 AI models pick
Houston Dynamo
to win at 2.35
25/10/05 - 00:30 (UTC)
Houston Dynamo
San Diego FC
tip from ChatGPT
Houston Dynamo
Backing Houston Dynamo at home at 2.35: the implied 42.6% is below my ~48% projection versus an expansion side traveling into a tough environment, making this a positive-EV play.
Lost
Models disagree; no reliable consensus
25/10/05 - 00:30 (UTC)
Minnesota United FC
Sporting Kansas City
tip from ChatGPT
Draw
Taking the Draw at 4.81 over Minnesota’s short price at 1.60 offers superior long-term value in a parity-heavy MLS matchup.
Lost
5 of 6 AI models pick
Austin FC
to win at 1.99
25/10/05 - 00:30 (UTC)
Austin FC
St. Louis City SC
tip from ChatGPT
St. Louis City SC
Value play: back St. Louis City SC at 3.48 with Austin arguably overpriced at 1.99, in a volatile, press-driven matchup that boosts upset equity.
Won
Models disagree; no reliable consensus
25/10/05 - 00:15 (UTC)
Lanus
San Lorenzo
tip from ChatGPT
Lanus
Back Lanús at 2.47: a strong home-field in Argentina plus a draw price compressed to 2.74 nudges the value toward the hosts in a tight, low-scoring matchup.
Won
4 of 6 AI models pick
Daniel Santos
to win at 1.71
25/10/05 - 00:15 (UTC)
Daniel Santos
Joo Sang Yoo
tip from ChatGPT
Daniel Santos
Backing Daniel Santos at 1.71 for his superior minute-winning pressure and attritional tools; Joo Sang Yoo’s counter power is live, but not enough value at 2.21 to sway the pick.
Won
5 of 6 AI models pick
Memphis Tigers
to win at 1.07
25/10/05 - 00:00 (UTC)
Memphis Tigers
Tulsa Golden Hurricane
tip from ChatGPT
Memphis Tigers
Memphis is the clear side at 1.07 given their home-field edge, roster depth, and cleaner offensive profile, while Tulsa’s upset shot at 9.31 relies on multiple low-probability breaks.
Won
4 of 6 AI models pick
Corinthians
to win at 2.08
25/10/05 - 00:00 (UTC)
Corinthians
Mirassol
tip from ChatGPT
Draw
Backing the Draw at 3.20: tight, low-event matchup favors a stalemate more often than the market’s implied probability.
Lost
6 of 6 AI models pick
Macy Chiasson
to win at 1.52
25/10/04 - 23:35 (UTC)
Macy Chiasson
Yana Santos
tip from ChatGPT
Macy Chiasson
Back Macy Chiasson at 1.52 for her size, clinch, and wrestling advantages that should bank minutes and rounds against Santos. The underdog’s path requires extended space she may not consistently secure.
Lost
Models disagree; no reliable consensus
25/10/04 - 23:30 (UTC)
Orlando City SC
Columbus Crew SC
tip from ChatGPT
Columbus Crew SC
Value on Columbus Crew at 3.41 outweighs Orlando’s narrow home edge at 1.95; my fair makes Columbus closer to 31%, creating a positive-EV shot versus the Draw at 4.04.
Lost
4 of 6 AI models pick
Inter Miami CF
to win at 1.43
25/10/04 - 23:30 (UTC)
Inter Miami CF
New England Revolution
tip from ChatGPT
Draw
Backing the Draw at 5.07 offers the best value, with public money compressing Inter Miami’s line at 1.43 and late-season dynamics boosting stalemate probability.
Lost
Models disagree; no reliable consensus
25/10/04 - 23:30 (UTC)
Philadelphia Union
New York City FC
tip from ChatGPT
New York City FC
Backing NYCFC at 3.89 for plus-EV: their pressing and transition game can exploit Philly’s gaps, while the Union’s home edge at 1.87 looks slightly overstated relative to true win probability.
Lost
6 of 6 AI models pick
Texas A&M Aggies
to win at 1.16
25/10/04 - 23:30 (UTC)
Texas A&M Aggies
Mississippi State Bulldogs
tip from ChatGPT
Texas A&M Aggies
Texas A&M at home with 1.16 is the right side against a volatile Mississippi State tempo attack priced near 5.56; the Aggies’ trench edge and Elko’s defense project a true win rate above the favorite’s break-even.
Won
5 of 6 AI models pick
TCU Horned Frogs
to win at 1.18
25/10/04 - 23:30 (UTC)
TCU Horned Frogs
Colorado Buffaloes
tip from ChatGPT
TCU Horned Frogs
Backing TCU on the moneyline at 1.18 offers a small but real edge versus my fair price near 1.13, while Colorado’s high-variance profile doesn’t justify the current 5.06.
Won
6 of 6 AI models pick
Ohio State Buckeyes
to win at 1.04
25/10/04 - 23:30 (UTC)
Ohio State Buckeyes
Minnesota Golden Gophers
tip from ChatGPT
Ohio State Buckeyes
Back Ohio State on the moneyline at 1.04; their true win probability likely exceeds the implied 95.9%, while Minnesota’s 12.61 doesn’t reach a fair upset chance.
Won
Models disagree; no reliable consensus
25/10/04 - 23:30 (UTC)
New York Red Bulls
FC Cincinnati
tip from ChatGPT
FC Cincinnati
Backing FC Cincinnati at 3.05: the break-even is modest and their road-ready, press-punishing style makes New York’s 2.21 look a shade short.
Won
Models disagree; no reliable consensus
25/10/04 - 23:30 (UTC)
UCF Knights
Kansas Jayhawks
tip from ChatGPT
UCF Knights
Taking UCF moneyline at 2.61 against a road-favorite Kansas priced at 1.53 due to home-field, tempo-driven volatility, and a closer true win probability than the market implies.
Lost
Models disagree; no reliable consensus
25/10/04 - 23:30 (UTC)
Florida State Seminoles
Miami Hurricanes
tip from ChatGPT
Florida State Seminoles
Backing the home dog: Florida State at 2.57 offers positive EV versus Miami’s 1.54, with rivalry volatility and Doak Campbell’s home-field pushing FSU’s true win probability above the 38.9% break-even.
Lost
6 of 6 AI models pick
Patchy Mix
to win at 1.32
25/10/04 - 23:15 (UTC)
Patchy Mix
Jakub Wiklacz
tip from ChatGPT
Patchy Mix
Backing Patchy Mix at 1.32: his back-taking, submission threat, and win-conversion rate justify a projection above the line’s implied 75.8%, making Jakub Wiklacz’s 3.57 insufficient value.
Lost