Spain are the narrow favourites to win the 2026 FIFA World Cup. France and Argentina complete the top three. Morocco are the model's most significant divergence from the market, rated fourth overall despite being priced more than twice as long. Norway, meanwhile, are the most overpriced team in the tournament, market ninth, model twenty-fifth.
These are the headline outputs from a model that rates all 48 qualified nations using FIFA ranking points, recent international form and World Cup history, then simulates the full 104-match bracket thousands of times to produce the probability figures across this article. The full interactive table, updated daily, is on our tournament predictions page.
Explore the full World Cup 2026 section →
How the Model Works
Three inputs combine to produce a rating for each team.
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FIFA ranking points provide the long-run baseline. The official FIFA points total reflects sustained performance across competitive internationals over several years, it is a slow-moving signal that is resistant to short-term noise, which is appropriate for a tournament of this kind.
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Recent international form and performance stats cover the last 24 months, with more recent matches weighted more heavily than older results. Only competitive matches are included. This helps capture whether a team is improving, declining or holding steady relative to its usual level
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World Cup history - appearances, best result and consecutive qualification streak adds a tournament-specific component. Teams with deeper knockout pedigree have historically outperformed their raw rating in the tournament environment. This component rewards experience and penalises debutants.
Those three inputs feed a tournament simulation that runs thousands of times across the full bracket, respecting the group draw and knockout structure. The output is a probability for each team at each stage: qualify from the group, reach the quarter-finals, reach the semi-finals, reach the final, and win the tournament.
The model does not use squad news, individual player ratings or club form. Structural team strength and tournament pedigree, not short-term momentum, is what it measures.
Tournament Favourites
Top five: Spain 21.2%, France 18.0%, Argentina 15.4%, Morocco 8.0%, England 7.8%
Spain head into the tournament as narrow favourites. They hold the highest FIFA rating of any team in the model (FIFA #2, 1,876 points) despite not currently holding the top ranking, and their recent form is the strongest of any qualified nation, the highest weighted PPG of any team in the dataset. This is Spain's 17th World Cup and their 13th in a row. They are reigning European champions and 2010 World Cup winners. The model gives them a 21.2% chance of winning and a 97.4% chance of qualifying from Group H.
France are the world's top-ranked nation by FIFA points (1,877), fractionally ahead of Spain, and two-time winners (1998 and 2018). They qualified with a 4-0 win over Ukraine, with Kylian Mbappé scoring twice. At 18.0%, the model rates them marginally behind Spain, reflecting slightly lower recent weighted form despite the superior ranking. They top Group I with a 96.4% qualification probability.
Argentina are the reigning world champions and the model's third-ranked team. With 19 World Cup appearances, more than any other nation, and three titles (1978, 1986, 2022), they carry the deepest tournament pedigree in the draw. The market has them at #5, two places below the model's assessment. At 15.4% win probability, they are the model's pick to defend the title ahead of the market's implied ranking. They are placed in Group J.
Morocco are the model's most striking output among the favourites, rated fourth overall at 8.0% win probability, while the market has them at #12. The Atlas Lions were the first African nation to reach a World Cup semi-final (Qatar 2022), and their qualifying campaign was among the most dominant of any confederation, including a 5-0 win over Niger to become the first African team to book their place at this tournament. Their recent weighted PPG is the second-highest of any team in the dataset. The model reflects that form; the market appears to be pricing history rather than current strength. They are in Group C alongside Brazil.
England are model fifth and market third, the market rates them slightly higher than the data supports. With a 7.8% win probability, they are close to Morocco in the model's assessment, but sit in arguably the toughest qualifying path from Group L alongside Croatia. England have appeared at eight consecutive World Cups and won their only title on home soil in 1966. Their recent qualifying form was straightforward, including a 5-0 win over Latvia.
The Teams the Market Has Wrong
Beyond the top five, the model identifies several meaningful divergences from bookmaker consensus.
Undervalued by the market
Australia are the biggest positive divergence in the dataset - model #18, market #33, a gap of fifteen places. Australia qualified with a comeback 2-1 win over Saudi Arabia and will compete at their sixth successive World Cup. Their recent form and qualifying PPG are both significantly stronger than their market price implies. At 78.5% qualification probability from Group D, the model considers them genuine contenders to progress.
Algeria are model #19 versus market #34, another fifteen-place gap. Back at the World Cup for the first time since 2014, the Desert Foxes won seven and drew one of their first nine qualifiers. Their recent weighted form is the third-highest of any team outside the top fifteen. They are placed in Group J with Argentina, Algeria and Austria, a genuinely open group where their price appears too long.
Iran are model #24 but market #36, a twelve-place gap. They qualified for a fourth successive World Cup in dramatic fashion and sit in Group G alongside Belgium. With an 78.6% group qualification probability, the model rates them as strong favourites to reach the knockout stage. Note - At the time of writing, Iran are still preparing to compete at the 2026 World Cup, although ongoing geopolitical tensions mean their participation remains a situation worth monitoring.
Croatia are model #10 versus market #17, a seven-place gap. The 2018 World Cup runners-up and 2022 third-place finishers have knockout DNA that few teams in this draw possess. Their seven appearances have produced consistently deep runs, something the history component of the model specifically captures. At 89.3% qualification probability from Group L, they are rated as strong contenders to reach the knockout stages.
Overvalued by the market
Norway are the most overrated team in the tournament by the model's assessment - market #9, model #25, a sixteen-place gap. The market is clearly pricing Erling Haaland's individual brilliance. The model does not account for individual players, and what it sees is a team returning to the World Cup for the first time since 1998, with only four appearances in history, a limited World Cup pedigree score, and a qualifying campaign that included a difficult path before they sealed top spot with an impressive final-day win over Italy in Milan. The history component penalises this significantly. Norway's 58.2% qualify probability from Group I against France and Senegal reflects the genuine difficulty of their group.
Brazil are market #4 but model #9 - a five-place gap that reflects an important divergence. Brazil have the richest World Cup history of any nation (five titles, 23 appearances, every tournament in history), which the model weights. However, their recent form is one of the weakest of the top teams - their weighted recent PPG is significantly below Spain, France and Argentina. New coach Carlo Ancelotti led them to qualification with a 1-0 win over Paraguay, but the underlying form data does not support a top-four market price. They draw Group C alongside Morocco, another reason to examine their price carefully.
Full Tournament Predictions
The table below ranks all 48 teams by win probability. The Signal column flags teams where the model and market diverge by five or more places, either a potential value opportunity (▲) or a caution on the market price (▼).
| # | Team | Group | Win % | SF % | Qualify % | Model | Market | Signal |
|---|---|---|---|---|---|---|---|---|
| 1 | Spain | H | 21.2% | 45.8% | 97.4% | 1 | 1 | — |
| 2 | France | I | 18.0% | 42.6% | 96.4% | 2 | 2 | — |
| 3 | Argentina | J | 15.4% | 42.1% | 96.7% | 3 | 5 | — |
| 4 | Morocco | C | 8.0% | 27.1% | 96.6% | 4 | 12 | ▲ |
| 5 | England | L | 7.8% | 27.4% | 94.4% | 5 | 3 | — |
| 6 | Germany | E | 4.7% | 22.7% | 96.8% | 6 | 7 | — |
| 7 | Portugal | K | 4.3% | 21.0% | 94.4% | 7 | 6 | — |
| 8 | Mexico | A | 3.0% | 16.7% | 95.4% | 13 | 16 | — |
| 9 | Netherlands | F | 3.0% | 14.1% | 92.4% | 8 | 8 | — |
| 10 | Brazil | C | 2.6% | 16.0% | 92.9% | 9 | 4 | ▼ |
| 11 | Senegal | I | 1.8% | 12.5% | 83.7% | 11 | 17 | ▲ |
| 12 | USA | D | 1.6% | 10.4% | 86.0% | 17 | 14 | — |
| 13 | Belgium | G | 1.5% | 13.5% | 91.9% | 12 | 10 | — |
| 14 | Croatia | L | 1.5% | 13.4% | 89.3% | 10 | 17 | ▲ |
| 15 | Japan | F | 0.9% | 9.6% | 86.0% | 14 | 12 | — |
| 16 | Colombia | K | 0.7% | 6.3% | 81.8% | 16 | 10 | ▼ |
| 17 | Austria | J | 0.6% | 4.7% | 73.1% | 20 | 23 | — |
| 18 | Switzerland | B | 0.5% | 8.1% | 93.9% | 15 | 17 | — |
| 19 | Australia | D | 0.5% | 6.3% | 78.5% | 18 | 33 | ▲ |
| 20 | Algeria | J | 0.4% | 5.3% | 74.9% | 19 | 34 | ▲ |
| 21 | Norway | I | 0.4% | 2.5% | 58.2% | 25 | 9 | ▼ |
| 22 | Uruguay | H | 0.3% | 3.9% | 69.6% | 23 | 22 | — |
| 23 | South Korea | A | 0.3% | 4.0% | 82.6% | 22 | 30 | ▲ |
| 24 | Turkey | D | 0.3% | 4.6% | 87.9% | 21 | 14 | ▼ |
| 25 | Iran | G | 0.2% | 2.9% | 78.6% | 26 | 20 | ▼ |
| 26 | Ecuador | E | 0.2% | 4.1% | 84.2% | 24 | 36 | ▲ |
| 27 | Canada | B | 0.1% | 3.5% | 86.9% | 30 | 27 | — |
| 28 | Egypt | G | 0.1% | 2.1% | 77.3% | 27 | 28 | — |
| 29 | Tunisia | F | 0.1% | 0.8% | 50.5% | 31 | 35 | — |
| 30 | Panama | L | 0.0% | 1.5% | 63.3% | 28 | 36 | ▲ |
| 31 | Uzbekistan | K | 0.0% | 0.8% | 53.3% | 36 | 28 | ▼ |
| 32 | Czech Republic | A | 0.0% | 0.6% | 44.9% | 33 | 36 | — |
| 33 | DR Congo | K | 0.0% | 0.3% | 70.4% | 29 | 26 | — |
| 34 | Ivory Coast | E | 0.0% | 0.9% | 43.4% | 34 | 36 | — |
| 35 | Paraguay | D | 0.0% | 0.4% | 40.4% | 32 | 25 | ▼ |
| 36 | Scotland | C | 0.0% | 0.3% | 24.8% | 39 | 36 | — |
| 37 | Iraq | I | 0.0% | 0.3% | 35.7% | 40 | 36 | — |
| 38 | Jordan | J | 0.0% | 0.2% | 38.1% | 35 | 20 | ▼ |
| 39 | South Africa | A | 0.0% | 0.2% | 50.7% | 37 | 24 | ▼ |
| 40 | Sweden | F | 0.0% | 0.2% | 26.6% | 38 | 36 | — |
| 41 | Cape Verde | H | 0.0% | 0.1% | 42.2% | 42 | 36 | ▼ |
| 42 | Qatar | B | 0.0% | 0.1% | 34.2% | 44 | 36 | ▼ |
| 43 | Bosnia & Herzegovina | B | 0.0% | 0.1% | 19.2% | 45 | 32 | ▼ |
| 44 | Saudi Arabia | H | 0.0% | 0.0% | 51.2% | 41 | 36 | ▼ |
| 45 | Ghana | L | 0.0% | 0.0% | 35.6% | 43 | 31 | ▼ |
| 46 | Curaçao | E | 0.0% | 0.0% | 21.2% | 46 | 36 | ▼ |
| 47 | New Zealand | G | 0.0% | 0.0% | 17.2% | 47 | 36 | ▼ |
| 48 | Haiti | C | 0.0% | 0.0% | 19.3% | 48 | 36 | ▼ |
▲ = model rates team 5+ places higher than market. ▼ = market rates team 5+ places higher than model.
The full interactive predictions page shows all 48 teams with win probability bars and the complete model vs market comparison.
Group Stage Overview
The 48 teams are split into 12 groups of four. The top two from each group qualify automatically for the Round of 32. The eight best third-placed teams also advance, meaning 32 of the 48 will progress from the group stage.
The model identifies two clear death groups. Group C contains Morocco (#4) and Brazil (#9) - the highest combined top-two model ranking of any group. Both are genuine semi-final contenders sharing the same pool, which means one of them is likely to exit before the knockout stage begins. Group I is equally brutal, with France (#2) and Senegal (#11) sharing a group where only one can finish top two automatically. Senegal's 83.7% qualification probability reflects the fact that their most likely route out involves navigating the best third-placed teams tiebreaker rather than topping the group.
At the other end, Group B is the model's easiest group, with Switzerland (#15) as the clear favourite and a field of Canada, Qatar and Bosnia & Herzegovina that offers significantly less resistance than the other 11 groups.
For each group's full fixture list, predicted standings and match-level H2H analysis, see our group pages. Every group fixture links through to a dedicated H2H page with the model's win/draw/loss prediction and full historical record.
Tournament win probabilities generated via Monte Carlo simulation of the full 2026 bracket. Model inputs: FIFA ranking points, recent international form and stats (24 months, recency-weighted), and World Cup history. Probabilities reflect the pre-tournament model and do not update for injuries, suspensions or in-tournament squad changes. Not financial or betting advice.
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