Blues v Brumbies
Set a scoreline and see where it sits among the 5,000 simulated runs behind this fixture. Ratings as at 2026-10-19.
BluesBrumbiesThe 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.
18.6% of runs finished in this bin — within 2 points either way.
52 points is around the 54th percentile of the total — the middle run scored 50.
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.
That is the model’s own average scoreline. 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 Blues are favoured
How the model arrives at the chance of Blues 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 Blues, a bar to the left helps Brumbies.
Blues 1548, Brumbies 1558 — 10 points, favouring Brumbies
Blues 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.
Blues and Brumbies 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.
12 meetings — Blues 8, Brumbies 4. Last 2026: Brumbies 30–27 Blues.
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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