How to Build a Sports Betting Model – A Step-by-Step Guide | BookieBrawler

How to build a sports betting model from scratch using data, statistics, and backtesting. Covers regression, Poisson, and power ratings.

Step 1: Choose Your Sport & Market

Start with one sport and one bet type. NFL spreads, NBA totals, or MLB moneylines are good starting points. Focusing narrows the variables you need to track.

Step 2: Collect Data

Gather historical data: team stats, player stats, home/away splits, rest days, injury reports, weather. Free sources include Basketball Reference, Pro Football Reference, FanGraphs, and ESPN.

Step 3: Identify Key Variables

Not all stats predict outcomes equally. For NFL, offensive and defensive DVOA and turnover rates matter most. For NBA, pace, offensive/defensive rating, and rest days are key. Test which variables have the strongest correlation with outcomes.

Step 4: Generate Predictions

Use your model to generate predicted scores, win probabilities, or point spreads. Compare your predictions to the sportsbook lines - when they diverge significantly, you've found a potential value bet.