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.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
