Thousands of games in a second
Monte Carlo game simulator
Simulates a game thousands of times from team ratings, then prices the spread, total and win probability from the results.
Built for real in
Statyx GameSim engine (25k to 100k runs per game)
Monte Carlo game simulator
Demo dataDrive-by-drive simulation: ratings in, fair prices and edges out.
Game
Market: KC -2.5 · O/U 48.5
Simulations
Buffalo at Kansas City
Set ratings and pace, then run 10,000 seeded simulations. Each game is played drive by drive: touchdowns, field goals, two-point tries, pick-sixes and overtime.
Nothing runs until you press Run.
Run log
same seed + inputs → same digest
No runs yet.
What you'd get for your product
- Seeded, reproducible simulations
- Fair spread, total and moneyline
- Distribution charts
- Edge against the market line
Built on your data feeds, in your repo and your accounts. Typical stack: TypeScript or Python, Seeded RNG, Backtesting harness.
Want this on your site?
Free 3-day trial on a real task. You keep the code either way.