Free ML-Powered Sports Predictions
SharpBetz delivers daily betting picks generated entirely by machine learning models trained on thousands of historical games. Our algorithms analyze statistical matchups, situational factors, and market signals to identify edges across NBA, NFL, MLB, NHL, and NCAAB. Every prediction includes spread, total, and moneyline analysis with a confidence rating so you can filter to the picks that matter most.
No gut feelings, no human bias. Our public track record shows every pick we have ever made, graded against final scores. Transparency is the foundation of trust, and we publish wins and losses alike. Curious about the methodology? Read how it works to see the features, training process, and backtesting behind each model version.
No Picks Available for Wednesday, February 5, 2025
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.