Who Will Win The World Cup According to Prediction Models

Every four years, the world’s most sophisticated forecasting machines turn their attention to a football tournament. For the 2026 FIFA World Cup, five distinct prediction frameworks have published their verdicts, each arriving at their conclusions through fundamentally different means.

Before the models, there was Paul. The octopus who correctly predicted all seven of Germany’s matches at the 2010 World Cup, including the final winner, Spain, became the unlikely gold standard for tournament forecasting. 

Now, Goldman Sachs runs a numbers model that looks at squad strength, recent form, and past tournament records to score each team, then plays out the bracket to see who comes out on top. Opta’s supercomputer simply runs the whole 48-team tournament 25,000 times and counts how often each team wins. EA Sports uses the player ratings in its game engine to simulate matches and has correctly called the last three World Cup winners that way. 

Joachim Klement, a German economist, stands out by completely disregarding football statistics and instead relying on demographic and economic data to make his predictions, a method that has also yielded three consecutive correct winners.

Opta Supercomputer: Win Probability Across 25,000 Simulations

The Opta model ran the tournament 25,000 times, and Spain emerged as champion in 16.1% of those runs, which was the highest figure for any team. France (13.0%), England (11.2%), and Argentina (10.4%) were the nearest challengers.

Goldman Sachs’ Predicted Path To The Final

Goldman Sachs scores each team on a relative strength index built from squad quality, recent results, and historical tournament data. The number next to each team is not a probability or an odds figure but a composite score showing how strong that team is predicted to be at that stage of the tournament, with higher numbers meaning a stronger performance is expected.

Argentina’s 1.59 in the semi-final is actually the highest single score in the entire bracket, meaning the model considers them the strongest team at that stage of the competition. Spain wins not because they are rated the most dominant team in every game but because they are consistently strong enough across multiple rounds. It is the tournament survival logic that matters here, not peak performance in a single match.

Implied Win Probabilities From Live Odds

Live betting markets have also consistently positioned Spain as the favourite, with France as a close co-favourite on some books.

Where The Predictions Align and Where They Diverge

The models and the data all seem to be reading from the same page heading into this tournament with Spain sitting at the top of nearly every major prediction. 

The only voice bucking the trend is economist Joachim Klement, who has called the last three World Cups correctly and sees the Netherlands going all the way. 

Whether the consensus proves right or one contrarian streak continues is exactly what makes this worth watching.

Why Klement’s Netherlands Pick Matters

While many models favour Spain, Klement’s analysis points to a very different outcome, backed by a remarkable record of correctly calling the winners of the last three World Cups. His prediction offers a credible alternative scenario and could be one of the tournament’s biggest talking points if it comes to pass.

Models Predictions At A Glance

The predictive models are largely aligned in favour of Spain, with four of the five leading forecasting systems backing them to lift the trophy. As a betting man it’s safer to wager for Spain for the safe bet but if you’re feeling risky or ‘lucky’, the Netherlands is the outlier pick.