Structure beats stars. Cohort modeling for World Cups — the unmarked run, the late arrival, the goal nobody saw coming. Tactics, timing & shared minutes. ⚽
Everyone predicts World Cups with the same two tools: market value and Elo.
Both pick the team with the best players.
But the team with the best players usually doesn't win.
So I built a model that ignores talent and measures something else. 🧵
Tournament's on. Built a 2026 World Cup prediction tracker if anyone still wants to play along.
104 matches, auto group tables, knockout bracket fills from your picks. Enter actual scores too, points for accuracy.
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https://t.co/1iBGDsgEEt
@Zonal_Marking The rotation point is the big one for me. An extra group game and a longer run to the final means squad depth and how settled a side is matter more than the headline names. Tournaments reward teams that don't have to think, and a longer one only doubles down on that.
@goalunit_io Openers are always weird though. Favourites tense up, the underdog has nothing to lose, and the crowd is buzzing for the first game of a whole tournament. Mexico should win comfortably on talent but I wouldn't be shocked if it's scrappy for an hour.
@goalunit_io "On paper" is doing a lot of work there. Switzerland have the names but Canada have basically kept the same spine together for years now, and at a World Cup that matters more than people think. Home crowd on top of it. I'd take the upset.
@FIFAWC26Updates Not who has the best players — who has played together longest. Built a cohort model that ignores talent entirely. It predicted Argentina in 2022 when every Elo model said Brazil. Thread on how it works and the 2026 forecast 👇
@jonawils@Zonal_Marking@TotalAnalysis — built a cohort model for World Cup prediction. No talent metrics. Just structure, timing, and shared minutes. The Argentina '86 and '22 cases are in thread — curious if this maps to what your data shows.
Everyone predicts World Cups with the same two tools: market value and Elo.
Both pick the team with the best players.
But the team with the best players usually doesn't win.
So I built a model that ignores talent and measures something else. 🧵
I'll be posting the full model here, factor by factor, plus a live 2026 World Cup forecast scored before a ball is kicked.
Structure over stars. Let's see how it holds up.
Follow if that's your kind of football.
That's the honest version of any predictor: it tells you what structure says, and it tells you when structure won't be enough.
Cohort beats talent. Until one player is so far beyond the system that the system stops mattering.
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