A team built a Monte Carlo simulator that runs 10,000 tournament simulations of the 2026 World Cup to generate champion probabilities for every nation. The simulator uses per-match win/draw/loss probabilities from a rating model based on public data like rankings and squad info. It runs efficiently in under a second on a Next.js ISR route, updating hourly and incorporating real match results as they occur. The system auto-grades prediction accuracy publicly after each match using Brier scores, ensuring accountability. Outputs are published openly as CSVs and accessible via live endpoints and Kaggle.

Jun 5, 2026, 9:30 AM