The 2026 FIFA World Cup kicks off June 11, hosted by the United States, Canada, and Mexico. For the first time, the tournament features 48 teams — up from 32 in Qatar 2022 — and a new format with 12 groups of 4 advancing to a 32-team knockout bracket.
With 7 weeks to go, we ran a 10,000-simulation Monte Carlo of the full tournament. Here's what the model says about every team's chances.
Transparency First
This post uses publicly-available World Football Elo ratings (from eloratings.net) as input — not our in-house soccer model. Our production soccer model is trained on club leagues (EPL, La Liga, Bundesliga, Ligue 1, Serie A), not national teams, so it doesn't have player-level ratings for international sides. What we contribute here is the bracket simulator, group-stage draw logic, and probabilistic framework — the ratings themselves come from public data.
For a version of this analysis using our actual production model, see our upcoming UEFA Champions League Final 2026 preview, where the club-level feature stack is what we trained on.
The Championship Leaderboard
| Rank | Team | Elo | Final 4% | Champion% |
|---|---|---|---|---|
| 1 | ARG Argentina | 2141 | 52.7% | 26.2% |
| 2 | BRA Brazil | 2108 | 44.9% | 18.6% |
| 3 | FRA France | 2077 | 39.2% | 13.8% |
| 4 | ESP Spain | 2050 | 34.7% | 10.7% |
| 5 | POR Portugal | 2018 | 30.6% | 8.1% |
| 6 | ENG England | 2006 | 29.5% | 7.0% |
| 7 | GER Germany | 1966 | 22.5% | 4.3% |
| 8 | NED Netherlands | 1949 | 20.1% | 3.3% |
| 9 | BEL Belgium | 1895 | 13.8% | 1.6% |
| 10 | URU Uruguay | 1875 | 10.8% | 1.1% |
| 11 | CRO Croatia | 1865 | 10.2% | 0.9% |
| 12 | COL Colombia | 1857 | 9.1% | 0.7% |
| 13 | ITA Italy | 1846 | 8.3% | 0.7% |
| 14 | MEX Mexico (host) | 1811 | 6.3% | 0.3% |
| 15 | USA United States (host) | 1802 | 5.6% | 0.3% |
| 16 | SUI Switzerland | 1794 | 4.6% | 0.3% |
| 17 | MAR Morocco | 1790 | 4.9% | 0.2% |
| 18 | ECU Ecuador | 1787 | 4.6% | 0.2% |
| 19 | DEN Denmark | 1779 | 4.3% | 0.3% |
| 20 | JPN Japan | 1770 | 3.8% | 0.2% |
(Full 48-team table available via API.)
The Top-Line Narrative
Argentina is the clear favorite. At a world-best 2141 Elo — built up through a dominant 2023-25 cycle post-Qatar — Argentina heads in with a 26.2% chance of going back-to-back. Only six nations have ever won consecutive World Cups in history. Argentina looks more likely than not to be the seventh.
The Big 6 own 84.4% of the probability. Argentina + Brazil + France + Spain + Portugal + England combined win 84.4% of simulations. That matches public market consensus — these six nations are collectively priced at roughly -600 across any major futures book as of April 2026.
Host advantage is real but small. Mexico (host, 0.3%) and the USA (host, 0.3%) get modest bumps from playing most games in front of home crowds, but neither is Elo-competitive with the European and South American elite. Canada (0.2%) isn't getting much from its single-game hosting either.
Group Stage Drama Matters
The 48-team format is a structural change that hasn't been fully absorbed by public futures models. Two things to watch:
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More third-place paths. In Qatar, top 2 from 8 groups (16 teams) advanced to Round of 16. In 2026, top 2 from 12 groups (24) + the 8 best third-place finishers (32 total) advance to Round of 32. This means a weaker team can finish 3rd in a tough group and still make the knockouts. Our Monte Carlo reflects this — the 48-team format slightly increases championship odds for mid-tier nations (~0.1-0.3% each) at the expense of pure giant probability.
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One extra round. The 32-team knockout phase is 5 rounds (of-32, of-16, QF, SF, F) instead of 4. Each additional round is another chance for an upset. Over the full 5-round knockout path, the #1 Elo team (Argentina) "only" has a 48% chance to go all the way through, which is why their Cup probability is 26% even though they lead all nations.
Teams We Disagree With Public Markets On
Three teams where our Monte Carlo differs from consensus futures pricing:
Portugal at 8.1%. Public markets have Portugal at ~5-6% (roughly +1500 to +1800 moneyline futures). Our model has them higher because their Elo (2018) reflects the Ronaldo-less Portugal squad's strong 2024-25 cycle, and because their bracket path in our simulation tends to avoid Argentina/Brazil until the later rounds.
Germany at 4.3%. Public markets have Germany at ~6-7%. Our model is lower because Germany's Elo (1966) shows they're not in the pure top tier anymore, and their recent international form hasn't matched the brand. The market is pricing them up because they're Germany, not because the numbers support it.
Morocco at 0.2%. Our model is almost exactly in line with public markets here — but worth flagging. Morocco's 2022 semifinal run was historic, but they weren't 4th-best in the world even then, and their Elo has regressed. Don't pay up for Morocco at 1-in-500. The 1-in-500 is correct.
What This Model Can't Do Well
Three honest limitations worth stating:
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No player-level injuries. If Mbappé tears his ACL in the final friendly, France's 13.8% would collapse to maybe 7%. Our input Elos are team-level and static as of April 22. Check back two weeks before the tournament for the injury-adjusted version.
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Group draw is randomized. The actual 2026 WC draw happened in December 2025. We randomize the draw in each of 10,000 simulations rather than using the actual drawn groups. This diffuses the probabilities slightly — in the actual bracket, some contenders will have easier paths and some harder. For the exact-draw version, we need to publish an update closer to kickoff.
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Our model doesn't know tournament experience. Argentina went through an emotional championship in 2022. France has been in 3 finals in the last 8 WCs. That "been there" factor doesn't show up in Elo. We don't model it.
Methodology Summary
- Inputs: World Football Elo ratings (eloratings.net), April 2026 approximate.
- Group stage: 12 groups of 4, round-robin, 24% draw rate split by Elo.
- Knockouts: 32 teams → 16 → 8 → 4 → 2 → 1. Each match is a single Elo-based coin flip.
- Simulations: 10,000 full-tournament runs with randomized group draws.
- Output: Championship probability and semifinal probability per team.
Updates
We'll publish updated futures after: - Final WC 2026 qualifier matches (late April / early May) - Major pre-tournament injury news - Opening kickoff June 11
If you want calibrated club-level soccer predictions (EPL, La Liga, Bundesliga, Ligue 1, Serie A, Champions League, Europa League), our API has live win probabilities built on our production model — 7-day free trial, no credit card.
Related Reading
- UCL 2025-26 Final Preview — Club-soccer equivalent using our production model (75% accuracy, 0.17 Brier).
- How to Build a Soccer Prediction Model — Python tutorial for 3-class win/draw/loss with calibration.
- 2026 Stanley Cup Futures — Live NHL bracket, updated weekly.
- Can You Actually Win at Sports Betting Long Term? — The math of trading the World Cup.
- How Prediction Markets Work for Sports — Why market prices beat sportsbook lines.
Data sources: World Football Elo ratings from eloratings.net (public), April 2026 snapshot; Monte Carlo built on public Elo with custom draw + knockout simulation (10k trials). For a version of this analysis using our in-house trained model rather than external Elo, see our upcoming UCL Final preview covering teams we've tracked across 3,000+ matches.