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Capital & Compute
Tracker· Updated June 30, 2026

World Cup 2026: market vs model

Two independent forecasts of the same tournament, side by side: the Polymarket prediction market and the Opta supercomputer model. This page tracks where they agree, where they split, and after the final, which one called it. Forecasting information only, not betting advice.

Who do the market and the model favor to win the 2026 World Cup?

As of June 30, 2026, the prediction market (Polymarket) and the statistical model (Opta) name different favorites for the 2026 World Cup. The market puts France first at 28.9%; the model puts Spain first at 16.1%. They agree closely on most other teams and disagree most on France (a 15.9 point gap).

Recent updates
  • Jun 30, 2026Netherlands eliminated by Morocco in the round of 32 (lost on penalties); its winner contract has resolved to zero, so it is dropped from the tracker and replaced by the USA, the next alive contender the market still rates (2.8%). Polymarket prices refreshed for the eight remaining contenders: France firms to 28.9% and Argentina to 19.4%. Opta figures unchanged (still the June 1 pre-tournament run), so USA carries its 1.2% model probability.
  • Jun 30, 2026Germany eliminated by Paraguay in the round of 32 (1-1 after extra time, lost on penalties, June 29); its market price has fallen to near zero, so it is dropped from the tracker and replaced by Colombia, the next contender the market still rates. Polymarket prices and depth refreshed for the eight contenders, with France out to 26.6% and Argentina to 19.9%. Opta figures unchanged (still the June 1 pre-tournament run).
  • Jun 25, 2026Initial snapshot: Polymarket winner market versus the Opta pre-tournament supercomputer run, top eight contenders.

The two forecasts, team by team

Each row is one contender. The gold dot is the Opta model's win probability; the slate dot is the Polymarket implied probability. The longer the line, the more the two methods disagree. The market is more bullish on France; the model is more bullish on Spain.

Market vs model: implied probability of winning the 2026 World CupDumbbell chart comparing two forecasts for 8 teams. France: market 28.9%, model 13.0%. Argentina: market 19.4%, model 10.4%. Spain: market 11.3%, model 16.1%. England: market 10.1%, model 11.2%. Brazil: market 7.1%, model 6.6%. Portugal: market 6.1%, model 7.0%. Colombia: market 2.8%, model 2.1%. USA: market 2.8%, model 1.2%.PolymarketOpta model0.0%10.0%20.0%30.0%FranceArgentinaSpainEnglandBrazilPortugalColombiaUSA
Market vs model: implied probability of winning the 2026 World Cup
ItemPolymarketOpta model
France28.9%13.0%
Argentina19.4%10.4%
Spain11.3%16.1%
England10.1%11.2%
Brazil7.1%6.6%
Portugal6.1%7.0%
Colombia2.8%2.1%
USA2.8%1.2%
Implied probability of winning the 2026 World Cup, market versus model. Market figures are Polymarket prices as of June 30, 2026; model figures are the Opta supercomputer's pre-tournament run of June 1, 2026.Source: Polymarket World Cup Winner market; Opta (The Analyst)

The numbers

The same data in a table, with the gap in percentage points. A positive gap means the market rates the team higher than the model does.

TeamMarket (Polymarket)Model (Opta)Gap (market − model)
France28.9%13.0%+15.9
Argentina19.4%10.4%+9.0
Spain11.3%16.1%-4.8
England10.1%11.2%-1.1
Brazil7.1%6.6%+0.5
Portugal6.1%7.0%-0.9
Colombia2.8%2.1%+0.7
USA2.8%1.2%+1.6

How to read this

A prediction market is a forecast made of money. On Polymarket, a contract on a team winning the World Cup trades between 0 and 1 dollar and pays out if that team wins, so its price is the crowd's implied probability. This market is deep: it shows roughly $3.5B in volume and $222M in liquidity, so the price reflects a large pool of capital, not a handful of fans.

The Opta supercomputer takes the opposite approach: it rates every team and simulates the whole tournament 25,000 times, then reports how often each team wins. One snapshot caveat matters here. The Opta figures are its pre-tournament run from June 1, 2026, while the market prices are live as of June 30, 2026 with the group stage underway. Some of the market's extra confidence could simply be newer information the static model has not absorbed yet.

For the full explainer on why these two methods disagree, what a Brier score is, and why the accuracy claims you see quoted deserve scrutiny, read prediction markets vs models at the World Cup. We apply the same do-not-trust-one-number discipline to AI in how AI benchmark scores get gamed and to release timing in the GPT-5.6 leak tracker.

How this tracker stays honest

  • Forecasting, not betting. Probabilities are presented as information. No tips, no picks, no links to place a wager.
  • Public, primary sources. Market figures come from Polymarket's own World Cup Winner market via its public Gamma API; model figures come from Opta's published supercomputer run.
  • Snapshots, not a live ticker. This is a static page. The figures are read at refresh time and updated when the site is redeployed, so the date stamp above is the as-of date, not a real-time feed.
  • It resolves. After the July 19 final, this page records the actual winner and scores how each method ranked it, so it becomes a permanent record rather than a stale prediction.

Frequently asked questions

Who is favored to win the 2026 World Cup, the market or the model?
As of June 30, 2026, the Polymarket winner market favors France at 28.9%, while the Opta supercomputer favored Spain at 16.1% in its June 1 pre-tournament run. The two forecasts agree closely on most teams and differ most on France.
Why do the prediction market and the model disagree?
The market reprices continuously as news breaks and money flows, so it absorbs early-tournament form fast. The model is a pre-tournament run built from longer-run team ratings, so it does not react to the latest game until it is rerun. When the two diverge, the gap usually marks recent information the static model has not absorbed yet, not proof that either one is wrong.
Are these betting tips?
No. This page presents two forecasts as information, the same way a weather forecast is information. There are no tips, no picks, and no links to place a wager. The point is to compare how two forecasting methods perform, not to advise anyone to bet.
How accurate are these forecasts?
Both prediction markets and models tend to be reasonably well calibrated over many events, but the accuracy figures platforms advertise are mostly self-reported, and no peer-reviewed study has compared market and model accuracy head to head across past World Cups. The honest read is that neither is reliably better here. After the final, this page scores how each method ranked the eventual winner.

Sources

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