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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
6 of 6 AI models pick
Matteo Arnaldi
to win at 1.63
25/10/02 - 11:53 (UTC)
Matteo Arnaldi
Rei Sakamoto
tip from ChatGPT
Matteo Arnaldi
Back Matteo Arnaldi at 1.43; his tour-level serve-forehand patterns and hard-court experience outweigh Rei Sakamoto’s tools, and the underdog price at 2.66 doesn’t offer enough compensation.
Won
4 of 6 AI models pick
Hamad Medjedovic
to win at 3.45
25/10/02 - 11:10 (UTC)
Arthur Rinderknech
Hamad Medjedovic
tip from ChatGPT
Arthur Rinderknech
Back Arthur Rinderknech at 2.14 over Hamad Medjedovic at 1.78; in a serve-driven, tie-break-friendly matchup, the underdog’s experience and steadier point construction offer the better value.
Won
4 of 6 AI models pick
Juncheng Shang
to win at 1.48
25/10/02 - 10:30 (UTC)
Aleksandar Kovacevic
Juncheng Shang
tip from ChatGPT
Aleksandar Kovacevic
Value on the underdog: Kovacevic at 3.08 offers a better risk-reward profile than Shang at 1.42, with serve-first dynamics and tiebreak variance boosting his chances above the implied break-even.
Lost
4 of 6 AI models pick
Jasmine Paolini
to win at 2.32
25/10/02 - 10:00 (UTC)
Jasmine Paolini
Amanda Anisimova
tip from ChatGPT
Jasmine Paolini
Backing Jasmine Paolini at 2.48 against Amanda Anisimova’s 1.60 looks like a clear value play given Paolini’s improved hard-court form and matchup edge in longer rallies.
Lost
Models disagree; no reliable consensus
25/10/02 - 09:30 (UTC)
Bangladesh
Pakistan
tip from ChatGPT
Bangladesh
Value on Bangladesh at 3.00 with a realistic path on slow, spin-friendly phases, while Pakistan looks overpriced at 1.36 given their batting volatility.
Won
4 of 6 AI models pick
Kia Tigers
to win at 1.69
25/10/02 - 09:30 (UTC)
Kia Tigers
SSG Landers
tip from ChatGPT
Kia Tigers
Taking Kia Tigers ML at 1.85 over SSG Landers 1.92 thanks to a small but consistent edge from home field, contact-first offense, and steadier late-inning pitching.
Won
5 of 6 AI models pick
Hanshin Tigers
to win at 1.47
25/10/02 - 09:00 (UTC)
Hanshin Tigers
Tokyo Yakult Swallows
tip from ChatGPT
Tokyo Yakult Swallows
Taking the Swallows at 2.75 against a Tigers side priced at 1.47 offers positive expected value in a low-scoring Koshien setting with late-season variance. Hanshin may be favored, but the number is rich and Yakult’s true win odds appear higher than the line implies.
Lost
5 of 6 AI models pick
Orix Buffaloes
to win at 2.10
25/10/02 - 09:00 (UTC)
Orix Buffaloes
Saitama Seibu Lions
tip from ChatGPT
Orix Buffaloes
Taking Orix at home at 1.97 against Seibu’s 1.88 because their run prevention, bullpen structure, and park fit create a small but real edge in a near coin-flip.
Won
Models disagree; no reliable consensus
25/10/02 - 07:20 (UTC)
Marcos Giron
Alejandro Tabilo
tip from ChatGPT
Alejandro Tabilo
With both at 1.90, Tabilo’s lefty serve-plus-one patterns and improved hard-court aggression give him a slight edge over Giron’s steadiness. I’m backing Alejandro Tabilo at 1.90.
Won
5 of 6 AI models pick
Mackenzie McDonald
to win at 1.60
25/10/02 - 07:20 (UTC)
Mackenzie McDonald
Quentin Halys
tip from ChatGPT
Quentin Halys
Taking Quentin Halys at 2.47 over Mackenzie McDonald at 1.50 for the value: his serve-first style and tiebreak upside make the underdog price too big for these Shanghai hard courts.
Won
4 of 6 AI models pick
Valentin Royer
to win at 1.43
25/10/02 - 07:00 (UTC)
Valentin Royer
Mariano Navone
tip from ChatGPT
Valentin Royer
Back Royer on the moneyline at 1.45: his first‑strike hard‑court game fits Shanghai better than Navone’s clay‑leaning style, making the underdog’s 2.63 price look short on transferable win equity.
Won
6 of 6 AI models pick
Coco Gauff
to win at 1.22
25/10/02 - 07:00 (UTC)
Eva Lys
Coco Gauff
tip from ChatGPT
Coco Gauff
Backing Coco Gauff at 1.24: her elite return and rally tolerance on Beijing’s medium-slow hard court justify an >80% win chance, while Eva Lys at 4.45 likely falls short of the break-even probability.
Won
5 of 6 AI models pick
Arthur Cazaux
to win at 1.21
25/10/02 - 06:10 (UTC)
Arthur Cazaux
Pedro Martinez
tip from ChatGPT
Pedro Martinez
Backing the value: with Cazaux overpriced at 1.28 and Martinez a lively underdog at 4.04, the underdog’s counterpunching and variance give us a positive expected-value shot.
Lost
Models disagree; no reliable consensus
25/10/02 - 06:10 (UTC)
Kamil Majchrzak
Ethan Quinn
tip from ChatGPT
Kamil Majchrzak
Backing Kamil Majchrzak at 2.39 against Ethan Quinn’s 1.64 looks like a value play given the medium conditions and Majchrzak’s steadier return/backhand patterns.
Won
5 of 6 AI models pick
Jesper De Jong
to win at 1.52
25/10/02 - 06:10 (UTC)
Yi Zhou
Jesper De Jong
tip from ChatGPT
Jesper De Jong
Backing Jesper De Jong on the moneyline at 1.51 offers slight value given his hard-court rally tolerance and return edge over Yi Zhou, who sits at 2.74. The matchup and conditions point to De Jong winning this in percentage terms above the favorite’s break-even.
Won
Models disagree; no reliable consensus
25/10/02 - 06:05 (UTC)
Reilly Opelka
Benjamin Bonzi
tip from ChatGPT
Benjamin Bonzi
Taking Benjamin Bonzi at 2.13 over Reilly Opelka’s 1.79 due to the variance of likely tiebreaks and conditions that marginally help the returner. In a near coin flip, the plus money side offers better long-term value.
Won
5 of 6 AI models pick
Christopher O'Connell
to win at 1.67
25/10/02 - 05:50 (UTC)
Damir Dzumhur
Christopher O'Connell
tip from ChatGPT
Christopher O'Connell
Backing Christopher O’Connell at 1.65 over Damir Dzumhur at 2.38 thanks to a serve‑plus‑forehand edge on Shanghai’s outdoor hard and a projected win probability above the market’s implied 60.8%. Expect O’Connell’s first‑strike patterns to control key points and deliver a small but real positive EV.
Won
4 of 6 AI models pick
Botic van de Zandschulp
to win at 1.99
25/10/02 - 04:30 (UTC)
Botic van de Zandschulp
Nuno Borges
tip from ChatGPT
Nuno Borges
Value on Nuno Borges at 2.00 against the more volatile Botic van de Zandschulp at 1.89, with Borges’ steadier return and backhand patterns better suited to Shanghai’s conditions.
Won
4 of 6 AI models pick
Terence Atmane
to win at 1.27
25/10/02 - 04:30 (UTC)
Camilo Ugo Carabelli
Terence Atmane
tip from ChatGPT
Terence Atmane
Backing Terence Atmane at 1.23 over Camilo Ugo Carabelli at 4.67 due to a clear hard-court and serve/forehand edge that should decide short points and holds.
Lost
6 of 6 AI models pick
Wu Yibing
to win at 1.64
25/10/02 - 04:30 (UTC)
Wu Yibing
Dalibor Svrcina
tip from ChatGPT
Wu Yibing
Backing Wu Yibing at 1.64 for his superior first-strike hard-court game and home-court lift; my projection (~63–65%) exceeds the line’s ~60.9% break-even versus Svrcina’s 2.20.
Lost