Regression Models for Point Spreads

Predicting Point Spreads with Regression

Linear regression can estimate expected point differential based on team metrics.

Key Features

• Offensive and defensive efficiency ratings
• Recent scoring averages
• Home court/field advantage
• Rest days and travel

Model Evaluation

Track Mean Absolute Error (MAE) against the spread. Models beating 53% ATS can be profitable.