Football prediction engine: from raw data to published pick

A football prediction engine converts match data into probability estimates specific to football's statistical properties: low-scoring outcomes following Poisson distributions, draw rates of 22–28% in European top divisions, and strong venue effects. Unlike general sports prediction systems, a football-specific engine encodes these structural properties into its model architecture — producing more reliable probability estimates than generic classification approaches that treat football like any other binary-outcome prediction problem.

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