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 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€” thatโ€™s 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 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 16.1%is the modelโ€™s top pick โ€” but itโ€™s also saying itโ€™s about 5.2ร— more likely that someone else wins. The interesting part is the order and the gaps: Spain โ‰ˆ Brazil โ‰ˆ Argentina are basically tied at the top, then a step down to England and France.

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‡ง๐Ÿ‡ท
Brazil
14.7%
F 25% ยท SF 46%
#2
๐Ÿ‡ช๐Ÿ‡ธ
Spain
16.1%
F 25% ยท SF 38%
#1
๐Ÿ‡ฆ๐Ÿ‡ท
Argentina
13.5%
F 23% ยท SF 35%
#3
Top 12 favoritescover 90.0% of all simulated outcomes
  • 1
    ๐Ÿ‡ช๐Ÿ‡ธ
    Spain16.06%
  • 2
    ๐Ÿ‡ง๐Ÿ‡ท
    Brazil14.73%
  • 3
    ๐Ÿ‡ฆ๐Ÿ‡ท
    Argentina13.53%
  • 4
    ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ
    England10.59%
  • 5
    ๐Ÿ‡ซ๐Ÿ‡ท
    France8.07%
  • 6
    ๐Ÿ‡ต๐Ÿ‡น
    Portugal5.62%
  • 7
    ๐Ÿ‡ฉ๐Ÿ‡ช
    Germany5.36%
  • 8
    ๐Ÿ‡ณ๐Ÿ‡ฑ
    Netherlands4.43%
  • 9
    ๐Ÿ‡จ๐Ÿ‡ด
    Colombia4.06%
  • 10
    ๐Ÿ‡ฒ๐Ÿ‡ฆ
    Morocco3.41%
  • 11
    ๐Ÿ‡ง๐Ÿ‡ช
    Belgium2.91%
  • 12
    ๐Ÿ‡ญ๐Ÿ‡ท
    Croatia1.26%

Upcoming matches

View all
  • ๐Ÿ‡ฆ๐Ÿ‡ทArgentina
    ๐Ÿ‡ฆ๐Ÿ‡นAustria
    Group J
  • ๐Ÿ‡ซ๐Ÿ‡ทFrance
    ๐Ÿ‡ฎ๐Ÿ‡ถIraq
    Group I
  • ๐Ÿ‡ณ๐Ÿ‡ดNorway
    ๐Ÿ‡ธ๐Ÿ‡ณSenegal
    Group I
  • ๐Ÿ‡ฏ๐Ÿ‡ดJordan
    ๐Ÿ‡ฉ๐Ÿ‡ฟAlgeria
    Group J
  • ๐Ÿ‡ต๐Ÿ‡นPortugal
    ๐Ÿ‡บ๐Ÿ‡ฟUzbekistan
    Group K
  • ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟEngland
    ๐Ÿ‡ฌ๐Ÿ‡ญGhana
    Group L
Full match schedule
Champion probability by confederation
  • UEFA58.0%
  • CONMEBOL34.1%
  • CAF5.3%
  • AFC1.9%
  • CONCACAF0.8%
  • OFC0.0%
  • Outer ring = per-team probability
Stage advance probabilities (top 8 favorites)
TeamR32R16QFSFFinalChampion
๐Ÿ‡ช๐Ÿ‡ธSpain100.0%77.6%59.3%38.5%25.4%16.1%
๐Ÿ‡ง๐Ÿ‡ทBrazil100.0%85.6%69.2%45.7%25.5%14.7%
๐Ÿ‡ฆ๐Ÿ‡ทArgentina99.9%78.1%53.8%35.0%23.5%13.5%
๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟEngland99.9%74.5%57.6%32.0%20.0%10.6%
๐Ÿ‡ซ๐Ÿ‡ทFrance99.8%73.1%44.8%25.9%14.8%8.1%
๐Ÿ‡ต๐Ÿ‡นPortugal89.1%63.6%37.3%21.8%11.6%5.6%
๐Ÿ‡ฉ๐Ÿ‡ชGermany100.0%78.1%48.1%25.1%11.2%5.4%
๐Ÿ‡ณ๐Ÿ‡ฑNetherlands100.0%69.1%35.1%18.5%9.5%4.4%
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).