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2026 World Cup team probabilities: market vs model

There are three credible places to get 2026 World Cup team probabilities, and each suits a different reader. Polymarket’s winner market gives live, money-backed probabilities — Spain ~17%, France ~16% as of June 2026 — best if you want numbers that react to news in real time. The Opta supercomputer gives simulation-based probabilities — Spain 16.1%, France 13.0% — best for a neutral model view. Bookmaker odds give a quick consensus but include the bookmaker’s margin, so they overstate every team. Tools like Prever then convert market probabilities into stage-by-stage positions, and Kalshi offers a US-regulated market alternative.

The favorites, source by source

TeamPolymarket priceOpta supercomputerRead
Spain~17%16.1%Market and model agree: clear favorite
France~16%13.0%Market slightly warmer than the model
Englandsee live market11.2%Third in the simulations
Argentinasee live market10.4%Defending champions, fourth by model

As of June 2026. Opta figures from its 25,000-simulation pre-tournament run; Polymarket prices move continuously.

No team is even a 1-in-5 favorite

The single most useful fact in the 2026 probability table is that the favorite sits below 20%: as of June 2026, no source — market or model — gives any nation better than roughly a 1-in-6 chance of winning the 2026 World Cup. A tournament where the favorite loses five times out of six is a tournament where probability thinking beats “who will win” thinking. It is also why the gap between Spain at 17% and Spain at 16.1% matters less than the structure of the field below them.

When market and model disagree

Market-vs-model gaps are where probabilities become actionable. The market has France at roughly 16% while the Opta simulations say 13.0% — a sign the crowd is paying a premium for France relative to the model, as of June 2026. Disagreements like this don’t tell you who is right; they tell you where the price of being right is cheap or expensive. The deeper you go below the headline Champion market — group winners, Round of 32 progression, reaching the quarterfinal — the thinner the analysis gets and the more often such gaps appear. That stage-level surface is exactly what Prever’s Road to Glory builder works with: seven separately priced checkpoints per team instead of one headline number.

Probabilities the table doesn’t show: history

Winner probabilities compress away the matchup detail that actually decides group stages. From the Michill head-to-head dataset of 7,503 internationals covering all 1,128 pairings of the 48 qualified teams: Spain is 8–0 lifetime against its 2026 group opponents, Brazil is 13–1 against its group, and the USA leads Paraguay 5–2–2 across 9 meetings. Meanwhile 27 of the 72 group fixtures are first-ever meetings with no record at all. None of this is destiny — but when a team’s group-stage price looks soft and its lifetime record against the group is 13–1, the two facts belong in the same decision. Browse all of these angles on the AI Picks page.

Using the numbers well

Three habits keep probability reading honest. First, convert every format to the same unit — a market price of 17¢ on a $1 contract is a 17% implied probability; our help page on reading World Cup probabilities walks through it. Second, strip the margin before trusting bookmaker numbers — the method is in implied probability and overround. Third, score yourself after the final on July 19, 2026, with a proper rule like the Brier score rather than win/lose memory. When you are ready to act on a view, the step-by-step picks guide starts from about $5.

Keep reading

Head-to-head numbers: Michill WC2026 H2H Open Data, CC BY 4.0. Prediction markets carry risk. Not available in restricted jurisdictions.