Interactive Tool

Match Predictor

Run 10,000 Monte Carlo simulations to see who has the statistical edge. Based on real-world averages, checkout rates, current form and H2H records.

Syncing with live database...
01

Select two players

Player 1

Player 2

02

How the model works

The predictor runs 10,000 simplified leg simulations. Each leg:

1. Scoring phase
Three-dart averages estimate who reaches a checkout first.
2. Finishing phase
Checkout percentage determines who closes the leg.
3. Modifiers
Recent form and Head-to-Head records apply small percentage swings to the probabilities.