Football prediction algorithms convert match data into probability estimates by applying mathematical functions to historical patterns. The algorithm is the bridge between raw data (goals, xG, Elo ratings, lineups) and an actionable output (68% home win probability). Different algorithm types — Poisson, regression, gradient boosting, neural networks — apply different mathematical transformations, discover different patterns, and require different amounts of historical data. Understanding how each works helps you evaluate which prediction outputs to trust and why.
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