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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
5 of 6 AI models pick
Vinicius Cenci
to win at 1.43
25/10/03 - 15:00 (UTC)
Takeshi Izumi
Vinicius Cenci
tip from ChatGPT
Vinicius Cenci
Backing the steadier, lower-variance side: Vinicius Cenci at 1.43 is more likely to win minutes, while Takeshi Izumi at 2.63 would need above ~38% true probability and high-volatility moments to justify the dog price.
Lost
5 of 6 AI models pick
Taylor Fritz
to win at 1.31
25/10/03 - 11:40 (UTC)
Taylor Fritz
Fabian Marozsan
tip from ChatGPT
Taylor Fritz
Backing Taylor Fritz at 1.21 is a small-edge, probability play over Fabian Marozsan at 4.82, with Fritz’s serve on this surface making the favorite the most likely winner.
Won
5 of 6 AI models pick
Novak Djokovic
to win at 1.10
25/10/03 - 10:30 (UTC)
Marin Cilic
Novak Djokovic
tip from ChatGPT
Novak Djokovic
Backing Novak Djokovic at 1.10 over Marin Cilic at 6.75 is the prudent play given Djokovic’s dominant return-and-rally edge and Shanghai track record. Cilic’s upset path requires sustained redlining that’s unlikely to hold across two sets.
Won
4 of 6 AI models pick
Jessica Pegula
to win at 1.48
25/10/03 - 10:00 (UTC)
Emma Navarro
Jessica Pegula
tip from ChatGPT
Emma Navarro
Backing Emma Navarro at 2.75 over Jessica Pegula at 1.41 for the value: Beijing’s slower hard court narrows the gap, and Navarro’s heavy forehand/return patterns give her a live underdog shot beyond the implied probability.
Lost
5 of 6 AI models pick
Tokyo Verdy
to win at 2.47
25/10/03 - 10:00 (UTC)
Shonan Bellmare
Tokyo Verdy
tip from ChatGPT
Shonan Bellmare
Back Shonan Bellmare at 2.95 as the home underdog; the price offers better value than Tokyo Verdy 2.57 or the Draw 3.12 given the matchup and typical J1 home edge.
Lost
4 of 6 AI models pick
England
to win at 1.33
25/10/03 - 09:30 (UTC)
England
South Africa
tip from ChatGPT
South Africa
Backing South Africa at 3.20 offers positive expected value in dew-affected, toss-sensitive conditions where England at 1.33 is priced too steeply. Underdog variance plus SA’s top-end talent makes the risk worth the reward.
Lost
5 of 6 AI models pick
New Orleans Pelicans
to win at 1.01
25/10/03 - 09:30 (UTC)
New Orleans Pelicans
Melbourne United
tip from ChatGPT
New Orleans Pelicans
Take New Orleans on the moneyline at 1.01 over Melbourne United at 20.00; the NBA talent and depth gap at home makes the tiny-return favorite the only side with a realistic positive expectation.
Won
5 of 6 AI models pick
Fukuoka SoftBank Hawks
to win at 1.57
25/10/03 - 09:00 (UTC)
Fukuoka SoftBank Hawks
Orix Buffaloes
tip from ChatGPT
Orix Buffaloes
Backing Orix at 2.30 against an overcooked home number on SoftBank at 1.57; in a homer-dampening dome and a bullpen-driven script, this profiles closer to a coin flip, creating positive EV.
Lost
6 of 6 AI models pick
Hiroshima Toyo Carp
to win at 1.75
25/10/03 - 09:00 (UTC)
Hiroshima Toyo Carp
Tokyo Yakult Swallows
tip from ChatGPT
Hiroshima Toyo Carp
Back Hiroshima Toyo Carp at 1.75 over Yakult’s 2.00 due to a home-field, bullpen, and defensive edge that likely exceeds the implied 57% break-even.
Lost
4 of 6 AI models pick
Tohoku Rakuten Golden Eagles
to win at 1.89
25/10/03 - 09:00 (UTC)
Tohoku Rakuten Golden Eagles
Saitama Seibu Lions
tip from ChatGPT
Tohoku Rakuten Golden Eagles
Siding with Rakuten’s home edge and steadier bullpen at 1.89 over Seibu’s road volatility at 1.85 for a small but real +EV position.
Won
6 of 6 AI models pick
Flavio Cobolli
to win at 1.80
25/10/03 - 08:00 (UTC)
Jaume Munar
Flavio Cobolli
tip from ChatGPT
Flavio Cobolli
Taking Flavio Cobolli at 1.80 over Jaume Munar at 2.09 due to a clear hard-court serve/first-strike edge and better point-ending power in Shanghai conditions.
Lost
5 of 6 AI models pick
Alexander Bublik
to win at 1.34
25/10/03 - 08:00 (UTC)
Alexander Bublik
Valentin Vacherot
tip from ChatGPT
Valentin Vacherot
Price-led upset shot: Vacherot at 3.69 offers positive value against a volatile Bublik priced at a steep 1.31 on a serve-friendly hard court.
Won
6 of 6 AI models pick
Casper Ruud
to win at 1.37
25/10/03 - 08:00 (UTC)
Zizou Bergs
Casper Ruud
tip from ChatGPT
Casper Ruud
Backing Casper Ruud on the moneyline at 1.35 over Zizou Bergs at 3.43 offers a modest but genuine edge thanks to surface fit, rally tolerance, and superior return patterns.
Lost
Models disagree; no reliable consensus
25/10/03 - 08:00 (UTC)
Tallon Griekspoor
Jenson Brooksby
tip from ChatGPT
Tallon Griekspoor
Backing Tallon Griekspoor at 2.66 over Jenson Brooksby at 1.52 due to a clear serve/first-strike edge and Brooksby’s uncertainty at this price. The matchup and likely tight sets make the underdog number compelling.
Won
5 of 6 AI models pick
KT Wiz
to win at 1.40
25/10/03 - 08:00 (UTC)
KT Wiz
Hanwha Eagles
tip from ChatGPT
Hanwha Eagles
Price over pedigree: with KT Wiz at 1.40 (≈71.6% implied) and Hanwha at 2.75 (≈36.4% implied), the underdog offers superior value in a volatile KBO spot.
Lost
5 of 6 AI models pick
Kia Tigers
to win at 1.61
25/10/03 - 08:00 (UTC)
Kia Tigers
Samsung Lions
tip from ChatGPT
Kia Tigers
Backing Kia Tigers at home at 1.61 where their balanced lineup and late-inning edge make the implied 62% too low; Samsung at 2.21 isn’t enough price to fade Kia’s home strength.
Won
Models disagree; no reliable consensus
25/10/03 - 08:00 (UTC)
NC Dinos
SSG Landers
tip from ChatGPT
SSG Landers
Taking the value side with SSG Landers at 2.66 against an NC Dinos price of 1.43, banking on baseball’s variance and a likely overinflated favorite line.
Lost
5 of 6 AI models pick
Linda Noskova
to win at 1.55
25/10/03 - 07:00 (UTC)
Sonay Kartal
Linda Noskova
tip from ChatGPT
Linda Noskova
Back Linda Noskova at 1.55 over Sonay Kartal at 2.61—her serve-plus-first-strike game is better suited to Beijing’s hard courts and should expose the level gap.
Won
4 of 6 AI models pick
Giovanni Mpetshi Perricard
to win at 1.58
25/10/03 - 06:50 (UTC)
Luca Nardi
Giovanni Mpetshi Perricard
tip from ChatGPT
Luca Nardi
Backing Luca Nardi at 2.58 over Giovanni Mpetshi Perricard at 1.55 for value in slower Shanghai conditions that blunt the serve and reward Nardi’s superior return-and-rally skills.
Lost
4 of 6 AI models pick
Tomas Machac
to win at 1.47
25/10/03 - 06:50 (UTC)
Mattia Bellucci
Tomas Machac
tip from ChatGPT
Tomas Machac
Backing Tomas Machac on the moneyline at 1.44 over Mattia Bellucci at 2.96 due to a clear hard-court level gap and a favorable lefty-neutralizing matchup that makes my fair price closer to 1.36 to 1.33.
Won