Data scientist Steven Stern has developed a predictive model utilizing one million simulations to forecast potential winners of the 2026 FIFA World Cup. The model assesses teams’ probabilities of success based on mathematical calculations. While specific team predictions haven’t been released, the methodology offers an early glimpse into potential frontrunners for the tournament. Stern’s work leverages the power of computational modelling to analyze complex sporting outcomes. This approach aims to move beyond traditional punditry and provide a data-driven perspective on World Cup prospects. The simulations consider various factors influencing team performance, though details remain undisclosed. The project represents an innovative application of data science within the realm of international football.