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Intermediate
How FinalSkore predicts football
A transparent walk through how the FinalSkore football model actually works: a 100% free data stack, expected goals per side from last-10 form blended with head-to-head and home advantage, an optional xG sharpening, a Poisson model for win/draw/away and Over/Under, corner and decision-tree signals, how the recommended pick is chosen against the odds, and the honest limits of predicting a low-scoring sport.
9 lessons 41 min
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01
The data the model learns from
A 100% free data stack, and the form and matchup signals pulled out of it.
02
From form to expected goals
Blending attack and defence into an expected-goals figure, then sharpening it with xG.
03
From goals to probabilities
The Poisson engine, plus the corner and decision-tree signals around it.
04
Turning it into a pick
Odds, the recommended pick, the secondary signal, confidence — and the honest limits.