Model-generated · Publicly graded
Free ML-Powered Sports Predictions
Machine-learning picks for MLB, NBA, NHL, and NCAAB — spread, total, and moneyline with a confidence rating. Every pick is graded against the final score and published, wins and losses alike.
No Picks Available for Tuesday, August 4, 2026
Predictions are published daily before tip-off. Use the date picker above to browse other days, or explore the sports we cover below.
What We Cover
NBA
Full-season coverage of every NBA game. Our model factors in pace, efficiency ratings, rest advantages, and back-to-back scheduling to find edges against the spread and on totals.
NCAAB
College basketball picks for Division I matchups. With hundreds of teams and wide talent gaps, our strength-of-schedule and common-opponent analysis surfaces value the market misses.
NFL
Every regular season and playoff game, analyzed through scoring trends, home-field advantage, and situational angles like short weeks and cross-country travel.
NHL
Hockey predictions driven by goals-for and goals-against differentials, goaltender matchups, and schedule density to identify puck line and total value.
MLB
Baseball picks across the full 162-game season. Run-line and total predictions incorporate pitching matchups, bullpen workload, and park factors.
How Our Model Works
Every prediction is generated by an XGBoost gradient-boosted tree model trained on multiple seasons of historical data. The system evaluates 25+ statistical features, including scoring differentials, pace, efficiency, rest, streaks, and market-implied probabilities, then outputs a predicted margin, total, and moneyline probability for each game. High-confidence picks are flagged so you can focus on the strongest edges.
We believe in full transparency: our results page shows the outcome of every pick, and our methodology page explains the features, training process, and backtesting behind each model version.
From Our Data Desk
All guides →Home Advantage, Measured Across 41,000 Games
We measured home win rate and margin across four sports in our history database. College basketball's home edge is enormous; MLB's is nearly zero.
our modelWe Rejected 4 of Our Last 5 Models. Here's Why That's the Point
In July 2026 we tested five model candidates against strict holdout gates. Four failed. Here's the process, the numbers, and why we're publishing the losses.
data analysisMLB Park Factors, Measured: What 1,400 Games Say About Every Ballpark
We measured run scoring in all 30 MLB parks across the 2026 season. Coors isn't even the highest — here's what actually matters for totals bettors.