Single Tournament Simulation
Run one complete World Cup simulation from the group stage to the final and see every match result.
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Play Off SimulatorPlay Off World Cup 2026 Simulator by Viet Dao
Predicting the FIFA World Cup using Machine Learning. Matches are simulated with statistical models to estimate outcomes and tournament probabilities. Explore single simulations or run large Monte Carlo experiments to see which teams have the best chance of lifting the trophy.
Quick project summary
- • Matches are simulated using statistical models (xG / Poisson / strength adjustments).
- • Run a single tournament simulation to inspect every match.
- • Run 5,000 simulations to estimate each team's chance to win the World Cup.
Stats
Project snapshot
48
Teams
5000+
Simulations
AI
Predictions
Probabilities Analysis
Run 5,000 simulations and discover which teams have the highest probability of winning the World Cup.
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Interactive Matchup
Pick any two teams, simulate head-to-head matchups with real player data, and explore predicted scorelines, scorers, and win probabilities.
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How it works
1. Team ratings
Team ratings are loaded from curated data sources and normalized into strength values used by the simulation models.
2. Match simulation
Match outcomes are simulated using probability models (xG and Poisson-based sampling) that convert expected goals into realistic scorelines.
3. Tournament play
The knockout tournament is played through until a champion is crowned; thousands of runs produce probabilistic predictions.
Ready to explore?
Try a single run or run a full probabilistic analysis to see how predictions change.