Pau v Zebre
Set a scoreline and see where it sits among the 5,000 simulated runs behind this fixture. Ratings as at 2026-10-19.
PauZebreThe steppers skip 1, 2 and 4. Points come in fives, threes and twos with a conversion needing a try in front of it, so no match has ever finished on any of them.
9.4% of runs finished in this bin — Pau by 18 to 22.
56 points is around the 54th percentile of the total — the middle run scored 54.
Those two figures are separate readings and are not multiplied together. The simulation draws the gap and the amount of scoring independently, so one bar of the histogram covers many scorelines and the payload holds nothing about which of them came up with which gap.
Your pick agrees with the model on the more likely winner, Pau. Nothing here scores any of it. The model’s gap is an average over both winners and yours is one afternoon, so the two are different kinds of number rather than one being right. How the model works.
Why Pau are favoured
How the model arrives at the chance of Pau winning. It starts at an even 50%, and each line below adds to that or takes from it, in percentage points (pp): a bar to the right helps Pau, a bar to the left helps Zebre.
Pau 1818, Zebre 1071 — 748 points, favouring Pau
Pau are at home
Recent results, past meetings between the two sides, and days of rest. It has a limit, so it can nudge the rating but never overrule it.
Pau and Zebre have no fixture on the published schedule, so there is no ground, no kick-off forecast and no team sheet to put beside this. The prediction itself does not need any of them.
4 meetings — Pau 3, Zebre 1. Last 2026: Zebre 31–15 Pau.
None of this reaches the model. Weather is not a feature, team selection is not a feature and the record is already inside both ratings, so the probability above does not move because any of it changed.
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