Hong Kong China v Namibia
Set a scoreline and see where it sits among the 5,000 simulated runs behind this fixture. Ratings as at 2026-10-18.
Hong Kong ChinaNamibiaThe 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.
14.3% of runs finished in this bin — Hong Kong China by 3 to 7.
49 points is around the 54th percentile of the total — the middle run scored 47.
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 Hong Kong China are favoured
How the model arrives at the chance of Hong Kong China 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 Hong Kong China, a bar to the left helps Namibia.
Hong Kong China 1297, Namibia 1240 — 57 points, favouring Hong Kong China
Hong Kong China 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.
Hong Kong China and Namibia 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.
1 meetings — Hong Kong China 0, Namibia 1. Last 1994: Namibia 22–12 Hong Kong China.
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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