Who Will Win the World Cup 2026?
The final is Spain vs Argentina. With the first 102 matches locked, 20,000 simulations of the final give Spain 53.8% and Argentina 46.2%.
model favourite · 53.8% title chance
second · 46.2% title chance
Monte Carlo tournament simulations
Citable note: title chances are model estimates from FootyTips.io's Elo + Poisson engine. Market figures are Polymarket World Cup winner prices (snapshot 2026-07-18 21:45 UTC); "Best est." blends model and market 40/60 in log space. They are probabilities, not guarantees, and will update as match results are settled.
Model vs Market: Where We Disagree
We benchmark our simulations against Polymarket's World Cup winner market — over $4.3B traded. The model leans on long-run Elo strength; the market also prices in squad news, injuries and sentiment. The biggest gaps right now:
model 46.2% vs market 40.5% — model higher
market 59.5% vs model 53.8% — market higher
Market prices from Polymarket snapshot 2026-07-18 21:45 UTC. "Best estimate" blends model and market (40/60 in log space).
Title-Winner Probabilities — All 48 Teams
| # | Team | Grp | Model | Market | Best est. | Last 4 | Reach KO |
|---|---|---|---|---|---|---|---|
| 1 | Spain | H | 53.8% | 59.5% | 57.3% | 100.0% | 100% |
| 2 | Argentina | J | 46.2% | 40.5% | 42.7% | 100.0% | 100% |
| 3 | Netherlands | F | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 4 | Germany | E | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 5 | Portugal | K | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 6 | Croatia | L | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 7 | France | I | 0.0% | 0.0% | 0.0% | 100.0% | 100% |
| 8 | England | L | 0.0% | 0.0% | 0.0% | 100.0% | 100% |
| 9 | Sweden | F | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 10 | Brazil | C | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 11 | Mexico | A | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 12 | Australia | D | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 13 | Colombia | K | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 14 | Ivory Coast | E | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 15 | Japan | F | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 16 | Switzerland | B | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 17 | Ecuador | E | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 18 | Bosnia-Herzegovina | B | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 19 | Ghana | L | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 20 | USA | D | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 21 | Belgium | G | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 22 | Algeria | J | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 23 | Austria | J | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 24 | Egypt | G | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 25 | Morocco | C | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 26 | Senegal | I | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 27 | Paraguay | D | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 28 | DR Congo | K | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 29 | Cape Verde | H | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 30 | South Africa | A | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 31 | Norway | I | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 32 | Canada | B | 0.0% | 0.0% | 0.0% | 0.0% | 100% |
| 33 | Czech Republic | A | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 34 | Uruguay | H | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 35 | Iran | G | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 36 | South Korea | A | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 37 | Turkey | D | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 38 | Saudi Arabia | H | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 39 | Panama | L | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 40 | Tunisia | F | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 41 | Scotland | C | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 42 | Qatar | B | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 43 | New Zealand | G | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 44 | Jordan | J | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 45 | Iraq | I | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 46 | Uzbekistan | K | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 47 | Haiti | C | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
| 48 | Curaçao | E | 0.0% | 0.0% | 0.0% | 0.0% | 0% |
Sources: Model — FootyTips Elo + Poisson, 20,000 Monte Carlo simulations. Market — Polymarket World Cup winner market ($4.3B traded), snapshot 2026-07-18 21:45 UTC. Best est. — model × market blend (40/60, log space).
How We Calculate This
The first 102 matches are locked to the official results. Each of 20,000 runs simulates only the remaining final with our Elo + Poisson model; eliminated teams stay at 0%. It is a transparent estimate, not a guarantee. Full method on our How It Works page. See also: does hosting help you win the World Cup?
FAQ
Who will win the World Cup 2026 according to AI?
The remaining finalists are Spain (53.8%) and Argentina (46.2%).
Who are the favourites for the 2026 World Cup?
Only the two finalists remain: Spain and Argentina.
How are the title chances calculated?
The first 102 matches are fixed to official results. Before the final, we simulate only that match 20,000 times; after it is settled, the champion is 100% and every eliminated team is 0%.
How does the AI model compare to prediction markets?
We benchmark our simulations against Polymarket's World Cup winner market (over $4.3B traded). The model currently rates Spain at 53.8% versus the market's 59.5%. Where they disagree, the model is leaning on long-run Elo strength; the market also prices in squad news, injuries and sentiment.
Cite This Data
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