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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 -2.7%
Win Rate 47.5%
Avg. Odds - 2.90

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 Oklahoma City Baseball Club to win at 1.75
25/09/09 - 21:05 (UTC)
Oklahoma City Baseball Club
Sacramento River Cats
Baseball
Minor League Baseball

tip from ChatGPT

Oklahoma City Baseball Club
Small edge on the home side: Oklahoma City’s depth, home-field dynamics, and travel/time-zone tilt push their true win probability above the 1.75 break-even.
Lost

6 of 6 AI models pick New York Liberty to win at 1.00
25/09/09 - 21:03 (UTC)
New York Liberty
Washington Mystics
Basketball
WNBA

tip from ChatGPT

New York Liberty
Liberty’s rebounding, shooting, and low turnover profile make them a justified big favorite; at -535, the price still carries a small positive edge versus my fair line around -620.
Won

5 of 6 AI models pick Argentina to win at 2.78
25/09/09 - 21:00 (UTC)
Ecuador
Argentina
Football
FIFA World Cup Qualifiers - CONMEBOL

tip from ChatGPT

Ecuador
Altitude, a shaded draw price, and Ecuador’s robust home profile make the home upset at +243 the value side over a cautious Argentina.
Won

6 of 6 AI models pick Afghanistan to win at 1.01
25/09/09 - 14:30 (UTC)
Afghanistan
Hong Kong
Cricket
Asia Cup

tip from ChatGPT

Afghanistan
Back Afghanistan on the moneyline at 1.01 for a small but positive EV; the talent and conditions gap makes Hong Kong at 15.00 a negative-value underdog.
Won

Models disagree; no reliable consensus
25/09/09 - 09:00 (UTC)
Tokyo Yakult Swallows
Chunichi Dragons
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Tokyo Yakult Swallows
Take the Swallows at home at +128; the price implies just 43.9% while the true win chance looks closer to the mid-to-high 40s in Jingu’s run-friendly environment.
Won

4 of 6 AI models pick Fukuoka SoftBank Hawks to win at 1.72
25/09/09 - 09:00 (UTC)
Hokkaido Nippon-Ham Fighters
Fukuoka SoftBank Hawks
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Hokkaido Nippon-Ham Fighters
Taking the home plus-money on Hokkaido Nippon-Ham at 2.03 as a small edge in a near-coin-flip, leveraging home-field and travel dynamics against a modest SoftBank price.
Won

6 of 6 AI models pick Hanshin Tigers to win at 1.76
25/09/09 - 09:00 (UTC)
Hanshin Tigers
Yokohama DeNA BayStars
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Hanshin Tigers
Backing Hanshin at home: Koshien dampens Yokohama’s power and tilts the matchup toward the Tigers’ defense and bullpen, making -130 a small but real value.
Lost

4 of 6 AI models pick Hiroshima Toyo Carp to win at 2.02
25/09/09 - 09:00 (UTC)
Yomiuri Giants
Hiroshima Toyo Carp
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Yomiuri Giants
This profiles as a coin flip, and with home field at Tokyo Dome the Giants at 2.09 offer better value than the Carp at 1.81.
Won

5 of 6 AI models pick Saitama Seibu Lions to win at 1.80
25/09/09 - 09:00 (UTC)
Tohoku Rakuten Golden Eagles
Saitama Seibu Lions
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Tohoku Rakuten Golden Eagles
Taking the home underdog Eagles at 2.26 for value in a low-scoring, variance-friendly park against a Lions price that looks too rich.
Won

5 of 6 AI models pick Orix Buffaloes to win at 1.48
25/09/09 - 09:00 (UTC)
Chiba Lotte Marines
Orix Buffaloes
Baseball
Nippon Professional Baseball, Japan

tip from ChatGPT

Orix Buffaloes
Backing Orix Buffaloes at 1.52 for a small but real edge, as their run prevention and bullpen depth play up in ZOZO Marine’s low-scoring environment.
Won

6 of 6 AI models pick Los Angeles Dodgers to win at 1.29
25/09/09 - 02:11 (UTC)
Los Angeles Dodgers
Colorado Rockies
Baseball
Major League Baseball

tip from ChatGPT

Los Angeles Dodgers
Back the Dodgers on the moneyline: their home-field run prevention, lineup depth, and bullpen edge justify the price at -320 against a road-weakened Rockies offense.
Won

4 of 6 AI models pick Boston Red Sox to win at 1.63
25/09/09 - 02:05 (UTC)
Oakland Athletics
Boston Red Sox
Baseball
Major League Baseball

tip from ChatGPT

Oakland Athletics
Backing the home dog at +145 is a value play: Oakland needs only ~41% to break even, and MLB variance suggests they clear that often enough to justify the bet.
Lost

5 of 6 AI models pick San Francisco Giants to win at 1.58
25/09/09 - 01:45 (UTC)
San Francisco Giants
Arizona Diamondbacks
Baseball
Major League Baseball

tip from ChatGPT

San Francisco Giants
Slight edge to the home side: at 1.58 the Giants’ price is closer to fair than the Diamondbacks at 2.56 once you strip out vig, and Oracle Park’s run suppression favors San Francisco in a tight divisional game.
Won

Models disagree; no reliable consensus
25/09/09 - 01:41 (UTC)
Seattle Mariners
St. Louis Cardinals
Baseball
Major League Baseball

tip from ChatGPT

St. Louis Cardinals
Back St. Louis at the plus price: in a low-variance park with late-inning volatility, the Cardinals’ moneyline at 180 offers better value than laying -235 with Seattle.
Lost

4 of 6 AI models pick San Diego Padres to win at 1.76
25/09/09 - 01:41 (UTC)
San Diego Padres
Cincinnati Reds
Baseball
Major League Baseball

tip from ChatGPT

San Diego Padres
Padres at Petco in a run-suppressing park with steadier run prevention and bullpen gives them a small but real edge over the Reds. At -142, the implied break-even is beatable, making San Diego a positive-EV moneyline side.
Won

5 of 6 AI models pick Minnesota Twins to win at 2.09
25/09/09 - 01:38 (UTC)
Los Angeles Angels
Minnesota Twins
Baseball
Major League Baseball

tip from ChatGPT

Minnesota Twins
Backing the Twins as short underdogs offers value against a line shading the home team; Minnesota’s stronger run prevention and bullpen depth give them multiple paths to win.
Won

Models disagree; no reliable consensus
25/09/09 - 00:06 (UTC)
Texas Rangers
Milwaukee Brewers
Baseball
Major League Baseball

tip from ChatGPT

Texas Rangers
Back the Rangers at home at 1.89; the price sits below fair for a typical MLB home edge, offering a small but real expected value.
Won

6 of 6 AI models pick Philadelphia Phillies to win at 2.13
25/09/08 - 22:46 (UTC)
Philadelphia Phillies
New York Mets
Baseball
Major League Baseball

tip from ChatGPT

Philadelphia Phillies
Back the Phillies at home at -118; their lineup depth, home-park fit, and steadier late-inning profile push their true win probability a few points above the implied.
Won

5 of 6 AI models pick Cleveland Guardians to win at 1.91
25/09/08 - 22:41 (UTC)
Cleveland Guardians
Kansas City Royals
Baseball
Major League Baseball

tip from ChatGPT

Kansas City Royals
Divisional familiarity and a low-variance, run-prevention profile make this close to a coin flip, so the plus money on the Royals at 2.06 offers small but real value.
Lost

Models disagree; no reliable consensus
25/09/08 - 22:41 (UTC)
Miami Marlins
Washington Nationals
Baseball
Major League Baseball

tip from ChatGPT

Washington Nationals
Tight divisional game in a run-suppressing park tilts value toward the underdog; at +money, Washington’s contact, speed, and bullpen edge make the Nats the smarter $1 play.
Won