AI sports predictions for today's key matches
Win probabilities for football, NBA, MLB and NHL from a calibrated statistical model, checked against the market and a panel of AI models. Every pick is timestamped before kick-off and graded on the result.
Today's key matches
The 5 fixtures worth your attention
Charlotte HornetsvsBrooklyn Nets
Buffalo SabresvsMinnesota Wild
Toronto Maple LeafsvsNashville Predators
Oklahoma City ThundervsNew Orleans Pelicans
San Diego PadresvsMilwaukee Brewers
Today's previews
Charlotte Hornets vs Brooklyn Nets prediction: Hornets' class gap
Charlotte are overwhelming favourites at home, with the model assigning them a 95% win probability against a Brooklyn side 458 rating points their inferior in Elo terms. The gap between these teams is substantial, and unless the Nets produce something genuinely unexpected, the hosts should control this matchup from start to finish.
Buffalo Sabres vs Minnesota Wild prediction: form over rating
Minnesota Wild arrive in Buffalo as narrow favourites despite identical Elo ratings, backed by a perfect 2–0 record against Buffalo's 1–1 start. The model rates this fixture at exactly 50–50, but the Wild's superior early-season form—and their ability to contain opponents—tips the balance in their favour on the road.
Toronto vs Nashville prediction: Predators edge thin sample
Nashville arrive in Toronto as narrow favourites despite playing away, with the model backing them at 53% to win outright. The Predators hold a significant Elo advantage (1483 to 1368) and have shown better early-season form, but both teams have played only three matches each—a sample so thin that any conclusion carries substantial uncertainty. The deciding factor will be whether Nashville's superior underlying strength translates to the road, where they have yet to play this season.
Thunder vs Pelicans prediction: Oklahoma City's overwhelming home advantage
Oklahoma City Thunder are heavily favoured to defeat New Orleans Pelicans in this season opener, with the model assigning them a 98% win probability. The Pelicans arrive as substantial underdogs at 2%, a gap that reflects the Thunder's superior rating and home-court advantage. Everything hinges on whether New Orleans can manufacture an upset against a team the model views as decisively stronger.
Padres vs Brewers prediction: Form clash meets quality gap
San Diego are favoured at 51% by the model, a narrow edge that masks a deeper tension: Milwaukee arrive as the superior regular-season side (105 wins, Elo 1649) but the Padres hold home advantage and have won three of their last five, whilst the visitors are riding a seven-game winning streak. The outcome will hinge on whether Milwaukee's momentum and underlying quality can overcome Petco Park's hosting advantage.
Selected automatically: big-league fixtures first, then strong model picks, AI-panel coverage and market data. At most 5 per day.
Football predictions today
Premier League, Champions League, LaLiga and more
Football predictions come with three-way probabilities (home, draw, away), an over/under 2.5 goals lean and a handicap line. Each league page lists the coming week's fixtures with the model's recent hit rate for that competition.
NBA · MLB · NHL predictions
Two-way win probabilities for US leagues
Basketball, baseball and hockey have no draw, so the prediction is a single win probability per side. Baseball uses a Poisson runs model with the listed starters; basketball and hockey use Elo win expectancy with home advantage.
Win probability, explained
A 50/50 match stays 50/50.
Most prediction sites show 85% or 90% confidence on single picks. The maths does not support that. A clear favourite in the Premier League wins roughly two matches in three, and a tight derby is close to a coin flip once the draw is counted. Our probabilities are calibrated to the real variance of each sport, and the calibration is checked on the accuracy page. When the model disagrees with the bookmaker market we show both numbers and the gap, so you can see where the edge is supposed to be.
54% match-winner accuracy over 10,564 graded fixtures
FAQ
Questions people ask about sports predictions
What is an AI sports prediction?
A probability for each outcome of a match, produced by a statistical model rather than a pundit. On this site the model combines Elo team ratings with margin of victory, a Dixon-Coles goal model for football and market-implied odds with the bookmaker margin removed.
How accurate are the predictions?
It depends on the league. Match-winner accuracy across graded fixtures is published on the accuracy page and updated as results come in. A 55% hit rate in football is normal because draws are hard to call. We show the real number, not a marketing one.
Which sports and leagues are covered?
Football (Premier League, LaLiga, Bundesliga, Serie A, Ligue 1, Champions League, MLS, K League 1), basketball (NBA), baseball (MLB, KBO, NPB) and ice hockey (NHL).
Why only a few matches per day?
We publish the handful of fixtures where the model, the market and the AI panel all have something to say. Bulk-generated pages for every kick-off add noise and nothing else. Every other fixture is still listed on the today page.
Is this a betting tips service?
No. There are no tips, no VIP plans and no bonus offers. Probabilities are shown so you can judge a match for yourself. A prediction can be wrong on any single game.
Do I need an account?
No. Everything on the site is free and open, including the full accuracy record.