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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: 44.5%
Avg. Odds: 2.94
ChatGPT ROI
ROI based on real bookmaker odds, match outcome market only 1X2 (Win/Draw/Win)
ChatGPT match-outcome win rate (1X2)
Match & Predictions
4 of 6 AI models pick
Matthew Elliott
to win at 1.07
25/09/13 - 17:00 (UTC)
Alexis Tsarmantidis
Matthew Elliott
tip from ChatGPT
Matthew Elliott
The market prices a clear skill gap, making Matthew Elliott the most reliable side at 1.11 despite the modest payout. Without strong evidence the underdog wins >13% of the time, backing Tsarmantidis at 7.50 is more hope than edge.
Lost
6 of 6 AI models pick
Kyle Smith
to win at 1.03
25/09/13 - 17:00 (UTC)
Kyle Smith
Connor Meanwell
tip from ChatGPT
Kyle Smith
Back Kyle Smith on the moneyline at 1.03; the true win probability likely exceeds the 97.1% break-even, making it a small but positive-EV play versus a longshot underdog.
Won
6 of 6 AI models pick
Auburn Tigers
to win at 1.03
25/09/13 - 16:45 (UTC)
Auburn Tigers
South Alabama Jaguars
tip from ChatGPT
Auburn Tigers
Auburn’s massive talent and depth edge at Jordan‑Hare make their true win probability slightly higher than the implied 96.9%, so the small-return moneyline is still a plus-EV play. South Alabama’s upset chances are too slim to justify the long price.
Won
4 of 6 AI models pick
Tottenham Hotspur
to win at 2.19
25/09/13 - 16:30 (UTC)
West Ham United
Tottenham Hotspur
tip from ChatGPT
Draw
Taking the Draw at 3.59: derby dynamics, Tottenham’s high line, and West Ham’s home resilience make the stalemate slightly undervalued.
Lost
5 of 6 AI models pick
Bayern Munich
to win at 1.08
25/09/13 - 16:30 (UTC)
Bayern Munich
Hamburger SV
tip from ChatGPT
Draw
The Draw at 14.63 offers the best value, with a realistic stalemate probability exceeding the market’s ~6.9% implication in an otherwise lopsided matchup.
Lost
5 of 6 AI models pick
Athletic Bilbao
to win at 1.60
25/09/13 - 16:30 (UTC)
Athletic Bilbao
Alavés
tip from ChatGPT
Draw
Best value is the draw at +300 given derby dynamics, early-season variance, and a tight tactical matchup that lifts the stalemate probability above market.
Lost
4 of 6 AI models pick
SD Huesca
to win at 2.35
25/09/13 - 16:30 (UTC)
SD Huesca
Málaga
tip from ChatGPT
Málaga
Málaga at 3.80 offers the best value in a cagey, low-scoring matchup where Huesca’s edge is overestimated and a single transition or set piece can decide it.
Lost
Models disagree; no reliable consensus
25/09/13 - 16:00 (UTC)
Juventus
Inter Milan
tip from ChatGPT
Draw
Back the Draw at 203: elite defenses, post‑international break caution, and near pick’em pricing tilt value toward a low‑event stalemate.
Lost
6 of 6 AI models pick
David Dvorak
to win at 1.17
25/09/13 - 16:00 (UTC)
Mohammed Walid
David Dvorak
tip from ChatGPT
David Dvorak
Backing the proven operator: Dvorak’s layered game, cardio, and round-winning tools justify a play at 1.20 against Walid’s early volatility.
Won
5 of 6 AI models pick
Lazar Todev
to win at 1.72
25/09/13 - 16:00 (UTC)
Lazar Todev
Luis Henrique Barbosa
tip from ChatGPT
Lazar Todev
Slight lean to Lazar Todev: his anti-wrestling and steady jab/low-kick game should win minutes if he keeps it standing, while Barbosa’s path relies on energy-heavy grappling.
Won
6 of 6 AI models pick
Khalid Taha
to win at 1.36
25/09/13 - 16:00 (UTC)
Edgar Delgado
Khalid Taha
tip from ChatGPT
Khalid Taha
Backing Khalid Taha at 1.40 for a modest but clear edge thanks to superior experience and power against a more uncertain opponent. The favorite covers the implied probability often enough to justify the price.
Won
4 of 6 AI models pick
Emir-Can Al
to win at 1.57
25/09/13 - 16:00 (UTC)
Emir-Can Al
Lukáš Eliáš
tip from ChatGPT
Emir-Can Al
Back Emir-Can Al at 1.57 for steadier minute-winning and round banking; his process-driven tools project a small but real edge over the break-even line.
Lost
6 of 6 AI models pick
Mochamed Machaev
to win at 1.17
25/09/13 - 16:00 (UTC)
Mochamed Machaev
Wanderley Junior
tip from ChatGPT
Mochamed Machaev
Backing the clear minute-winner: Machaev at 1.17 controls the phases, limits volatility, and exceeds the implied 85.5%—a small but solid +EV play over the swingy underdog at 4.60.
Won
6 of 6 AI models pick
Baylor Bears
to win
25/09/13 - 16:00 (UTC)
Baylor Bears
Samford Bulldogs
tip from ChatGPT
Baylor Bears
Baylor’s size, depth, and home-field edge should overwhelm an FCS visitor over four quarters. The safest and most profitable play for a $1 stake is Baylor to win, with first-half Baylor angles as higher-yield complements.
Won
4 of 6 AI models pick
Buffalo Bulls
to win at 1.05
25/09/13 - 16:00 (UTC)
Kent State Golden Flashes
Buffalo Bulls
tip from ChatGPT
Kent State Golden Flashes
Buffalo is far likelier to win, but at 11.17 the Kent State moneyline offers superior expected value in a volatile MAC matchup. Laying 1.05 with Buffalo demands an unrealistic break-even win rate.
Lost
6 of 6 AI models pick
Michigan Wolverines
to win at 1.03
25/09/13 - 16:00 (UTC)
Michigan Wolverines
Central Michigan Chippewas
tip from ChatGPT
Michigan Wolverines
Back Michigan on the moneyline at 1.03; the talent and home-field gap make their true win probability likely above the implied 97%, yielding a small but positive EV.
Won
6 of 6 AI models pick
Maryland Terrapins
to win at 1.01
25/09/13 - 16:00 (UTC)
Maryland Terrapins
Towson Tigers
tip from ChatGPT
Maryland Terrapins
Maryland’s massive FBS–FCS talent gap and home-field edge make the Terrapins a small but positive EV bet at 1.01, while Towson at 26.00 requires an upset probability that’s unrealistically high.
Won
Models disagree; no reliable consensus
25/09/13 - 16:00 (UTC)
Troy Trojans
Memphis Tigers
tip from ChatGPT
Troy Trojans
Taking Troy at home at +150 offers positive value against a Memphis side priced a bit rich on the road; the Trojans’ defense, pace control, and field-position edge make this underdog worth backing.
Lost
5 of 6 AI models pick
Oregon Ducks
to win at 1.02
25/09/13 - 16:00 (UTC)
Northwestern Wildcats
Oregon Ducks
tip from ChatGPT
Northwestern Wildcats
At 21.26, Northwestern’s implied 4.7% win chance looks too low for a home, early-season volatility spot; the underdog moneyline offers superior long-term value versus Oregon’s prohibitive 1.02.
Lost
6 of 6 AI models pick
Oklahoma Sooners
to win at 1.04
25/09/13 - 16:00 (UTC)
Temple Owls
Oklahoma Sooners
tip from ChatGPT
Oklahoma Sooners
Oklahoma’s true win probability likely exceeds the 95.8% breakeven implied by the 1.04 line, making the Sooners’ moneyline a small but positive EV play over Temple’s long-shot 12.40. Talent and trench dominance favor a decisive Oklahoma result.
Won