The model creates rankings and predictions based on a two-stage linear regression of advanced stats combined with a power rating system.
Machine learning powered predictions with proven edge detection
Advanced machine learning trained on thousands of games
We analyze 2,0000+ games worth of comprehensive statistics and game outcomes. We include offensive efficiency, defensive ratings, turnover ratios, and advanced metrics for every FBS or D1 team.
Our regression model weighs dozens of factors to calculate team strength ratings. The algorithm learns optimal weights from historical performance to maximize prediction accuracy. These weights learn from every game that is played.
For each matchup, the model considers team ratings, statistical differentials, home court advantage, and neutral site factors to predict the margin and win probability. The molde outputs the predcited winner, point margin along with the edge versus the vegas line
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