Play Off Simulator

Play Off World Cup 2026 Simulator by Viet Dao

Simulating the FIFA World Cup using Machine Learning. Matches are simulated with statistical models to estimate outcomes and tournament probabilities. Explore single simulations or run multiple Monte Carlo experiments to see which teams have the best chance of winning.

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Hot Matchup
🇵🇹 PortugalvsArgentina 🇦🇷
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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

2000+
Users
7000+
Simulations
48
Teams

Single Tournament Simulation

Run one complete World Cup simulation from the group stage to the final and see every match result.

Live Probabilities

Run 5,000 simulations and discover which teams have the highest probability of winning the World Cup.

Interactive Matchup

Pick any two teams, simulate matchups, and explore predicted scorelines, scorers, and win probabilities.

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.

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