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Poisson Distribution explained

The statistical model behind most football pricing — goals as rare independent events at a known average rate.

The Poisson distribution gives the probability of k events when events arrive independently at a known average rate λ: P(k) = e^−λ·λᵏ/k!. Feed it a team's expected goals and it produces the chance of 0, 1, 2, 3… — and two teams' distributions combine into scorelines, 1X2, totals and BTTS.

It is imperfect in known ways — goals cluster slightly, draws come out a touch under-priced — and every serious football model, including ours, starts from it and corrects from there. Its power is turning one honest input (expected goals) into a full probability surface.

Worked example

λ = 1.4 expected goals: P(0) = e^−1.4 ≈ 24.7%, P(1) ≈ 34.5%, P(2) ≈ 24.2%. Two independent Poissons at 1.4 and 1.1 give P(1–1) ≈ 34.5% × 36.6% ≈ 12.6% — the arithmetic inside every correct-score price you have ever seen.

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⚠️ Our AI model is still learning from match data. All predictions are experimental statistical estimates for information purposes only — not financial advice and not an invitation to bet. Outcomes are never guaranteed. 18+ · Gamble responsibly.