Who lifts the trophy in 2026?
Bayesian Monte Carlo simulator running 50,000 tournament rollouts on a Dixon-Coles model fitted to a century of international results plus EA FC 25 squad strength.
What does โSpain 16.1%โ actually mean?
The numbers below are chances, not predictions. The model plays the World Cup 50,000 times. Spain wins about 8,030of those โ thatโs where 16.1% comes from. The other ~41,970 times, somebody else lifts the trophy.
Why no team is above ~16%. Winning the World Cup means winning seven matches in a row. Even the best team doesnโt pull that off most of the time. A 48-team tournament is wide open by design โ in every modern World Cup the favorite has sat between 15% and 25%.
How to read it. Spain at 16.1%is the modelโs top pick โ but itโs also saying itโs about 5.2ร more likely that someone else wins. The interesting part is the order and the gaps: Spain โ Brazil โ Argentina are basically tied at the top, then a step down to England and France.
Whatโs not in the model. It doesnโt know about injuries, suspensions, or the final squads (those land in late May). It uses a century of match results, current Elo ratings, and player ratings from EA FC 25.
Upcoming matches
View all- Group J๐ฆ๐ทArgentinaArgentina๐ฆ๐ทโ๐ฆ๐นAustria
- Group I๐ซ๐ทFranceFrance๐ซ๐ทโ๐ฎ๐ถIraq
- Group I๐ณ๐ดNorwayNorway๐ณ๐ดโ๐ธ๐ณSenegal
- Group J๐ฏ๐ดJordanJordan๐ฏ๐ดโ๐ฉ๐ฟAlgeria
- Group K๐ต๐นPortugalPortugal๐ต๐นโ๐บ๐ฟUzbekistan
- Group L๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟEnglandEngland๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟโ๐ฌ๐ญGhana
Back-tested against 2018 + 2022 World Cups: Brier 0.58, accuracy 55 to 58%, in line with FiveThirtyEight SPI and bookmaker-grade systems. Fitted on ~31k international matches since 1990 with time-decay (4-yr half-life, cross-validated) and tournament-importance weighting. Squad-strength prior validated against weekly-refreshed Transfermarkt market values (Spearman 0.96, max champion-% shift 0.65pp).