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    Poisson Distribution for Correct Score Modeling: A Practical Guide

    Poisson Distribution for Correct Score Modeling: A Practical Guide

    Build a Poisson probability matrix using home and away attack/defense strength ratings to price exact football scorelines.

    Modeling Discrete Event Frequencies in 90 Minutes

    Because goals in football occur independently and at a relatively low average rate (approx. 2.7 goals per match across major European leagues), the Poisson distribution provides a natural mathematical foundation for pricing correct scores and goal brackets.

    Step-by-Step Model Construction

    1. Calculate League Average Home and Away Goals per game.
    2. Derive Team Attack Strength by dividing team goals by league average.
    3. Derive Opponent Defense Weakness by dividing goals conceded by league average.
    4. Multiply strengths by the base league average to establish Expected Goals (Lambda) for each team.
    5. Compute the individual Poisson probabilities for score combinations from 0-0 up to 4-4.