Building your own betting model is the best way to gain an edge over the bookmakers. Here is a step-by-step guide.

Step 1: Gather Data

Start with historical match results, team statistics, and player data. Many free APIs provide this information.

Step 2: Choose Your Features

Key features include: recent form, home/away performance, head-to-head records, injuries, and market odds.

Step 3: Select a Model

Start simple with a Poisson regression for football or a logistic regression for match outcomes.

Step 4: Backtest

Test your model on historical data before using it with real money. Aim for a minimum of 500 matches for statistical significance.

Step 5: Bankroll Management

Never bet more than 2% of your bankroll on a single outcome. The Kelly Criterion can help optimise stake sizes.