๐Ÿ‡บ๐Ÿ‡ธ ๐Ÿ‡จ๐Ÿ‡ฆ ๐Ÿ‡ฒ๐Ÿ‡ฝ ยท 11 Jun to 19 Jul 2026 ยท 48 teams ยท 12 groups

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 โ€œSpain 32.2%โ€ actually mean?

The numbers below are chances, not predictions. The model plays the World Cup 50,000 times. Spain wins about 16,101of those โ€” thatโ€™s where 32.2% comes from. The other ~33,899 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 doesnโ€™t 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 32.2%is the modelโ€™s top pick โ€” but itโ€™s also saying itโ€™s about 2.1ร— more likely that someone else wins. The interesting part is the order and the gaps: Spain โ‰ˆ Argentina โ‰ˆ England are basically tied at the top, then a step down to France and Algeria.

Whatโ€™s not in the model. It doesnโ€™t 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.

๐Ÿ‡ฆ๐Ÿ‡ท
Argentina
27.5%
F 54% ยท SF 100%
#2
๐Ÿ‡ช๐Ÿ‡ธ
Spain
32.2%
F 58% ยท SF 100%
#1
๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ
England
20.9%
F 46% ยท SF 100%
#3
Top 12 favoritescover 100.0% of all simulated outcomes
  • 1
    ๐Ÿ‡ช๐Ÿ‡ธ
    Spain32.20%
  • 2
    ๐Ÿ‡ฆ๐Ÿ‡ท
    Argentina27.49%
  • 3
    ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ
    England20.91%
  • 4
    ๐Ÿ‡ซ๐Ÿ‡ท
    France19.40%
  • 5
    ๐Ÿ‡ฉ๐Ÿ‡ฟ
    Algeria0.00%
  • 6
    ๐Ÿ‡ฆ๐Ÿ‡บ
    Australia0.00%
  • 7
    ๐Ÿ‡ฆ๐Ÿ‡น
    Austria0.00%
  • 8
    ๐Ÿ‡ง๐Ÿ‡ช
    Belgium0.00%
  • 9
    ๐Ÿ‡ง๐Ÿ‡ฆ
    Bosnia and Herzegovina0.00%
  • 10
    ๐Ÿ‡ง๐Ÿ‡ท
    Brazil0.00%
  • 11
    ๐Ÿ‡จ๐Ÿ‡ฆ
    Canada0.00%
  • 12
    ๐Ÿ‡จ๐Ÿ‡ป
    Cape Verde0.00%

Upcoming matches

View all
  • ๐Ÿ‡ซ๐Ÿ‡ทFrance
    ๐Ÿ‡ช๐Ÿ‡ธSpain
    Semi-final
  • ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟEngland
    ๐Ÿ‡ฆ๐Ÿ‡ทArgentina
    Semi-final
  • ยทLoser 101
    ยทLoser 102
    Third place
  • ยทWinner 101
    ยทWinner 102
    Final
Full match schedule
Champion probability by confederation
  • UEFA72.5%
  • CONMEBOL27.5%
  • CAF0.0%
  • AFC0.0%
  • CONCACAF0.0%
  • OFC0.0%
  • Outer ring = per-team probability
Stage advance probabilities (top 8 favorites)
TeamR32R16QFSFFinalChampion
๐Ÿ‡ช๐Ÿ‡ธSpain100.0%100.0%100.0%100.0%58.2%32.2%
๐Ÿ‡ฆ๐Ÿ‡ทArgentina100.0%100.0%100.0%100.0%54.5%27.5%
๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟEngland100.0%100.0%100.0%100.0%45.5%20.9%
๐Ÿ‡ซ๐Ÿ‡ทFrance100.0%100.0%100.0%100.0%41.8%19.4%
๐Ÿ‡ฉ๐Ÿ‡ฟAlgeria100.0%0.0%0.0%0.0%0.0%0.0%
๐Ÿ‡ฆ๐Ÿ‡บAustralia100.0%0.0%0.0%0.0%0.0%0.0%
๐Ÿ‡ฆ๐Ÿ‡นAustria100.0%0.0%0.0%0.0%0.0%0.0%
๐Ÿ‡ง๐Ÿ‡ชBelgium100.0%100.0%100.0%0.0%0.0%0.0%
Calibration

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).