The FIFA World Cup is football’s biggest stage, a tournament where dreams are made, giants fall, and underdogs become legends. Every four years, millions of fans try to predict who will be crowned world champions. But this time, one of the world’s most powerful investment banks has joined the conversation.

Goldman Sachs has released its forecast for the FIFA World Cup 2026, using a sophisticated statistical model built from decades of football data. According to the bank’s economists, Spain enters the tournament as the favorite to win it all. Yet even the experts behind the numbers admit that football remains one of the most unpredictable sports on the planet.

FIFA World Cup 2026: Why Goldman Sachs Is Backing Spain?

Goldman Sachs gives Spain a 26% chance of winning the FIFA World Cup 2026, ahead of France at 19% and defending champions Argentina at 14%. The model combines historical match results, team rankings, scoring talent, recent form, and geographical factors.
In the report, economists led by Jan Hatzius wrote, “Our prediction aligns with the historical pattern that the World Cup almost always comes back to Europe after having been won by a South American team.”

The analysis also relies heavily on Elo ratings, a system that measures team strength based on results and the quality of opponents. Spain’s strong ranking, attacking talent, and recent performances helped push them to the top of the forecast.

Why Predictions Don’t Always Work?

While the forecast is impressive, Goldman Sachs openly acknowledges its limitations. The economists described football as a sport filled with “inherent unpredictability.”

There is plenty of evidence to support that warning. Before the 2018 World Cup, Goldman Sachs ran more than one million simulations and predicted Brazil would win the tournament. Instead, Brazil exited in the quarterfinals, while France lifted the trophy after defeating Croatia in the final.

The model also struggles to account for injuries, squad chemistry, coaching decisions, and other factors that can completely change a team’s fortunes during a month-long tournament.

Can Betting Markets Predict Better?

Goldman compared its model with prediction markets and betting platforms, where millions of people collectively assess a team’s chances.

Victor Matheson, an economics professor at the College of the Holy Cross, said, “These markets tend to be quite efficient.” He explained that betting odds often absorb new information faster than traditional statistical models.

Meanwhile, engineering professor Jacek Dmochowski described forecasting models as a “fun exercise” and argued that prediction markets have access to far more information than any single model can process.

In the end, whether it’s economists, bookmakers, or passionate fans, nobody truly knows who will win until the final whistle blows. The numbers may favor Spain, but World Cup history has always belonged to the unexpected.