Services / Model / Machine learning and prediction models
Machine learning and prediction models
Match and score prediction, player projections, season and tournament simulation.
We build models for match outcomes, scores, player performance, playoff, championship and relegation odds, using Monte Carlo simulation where the question needs a full season.
Every model is trained on point-in-time features and validated walk-forward, so its accuracy reflects what was knowable before the game.
Who it is for. Sports startups, prediction platforms, media and clubs.
What is included
- Home, draw and away probabilities
- Expected score and totals
- Playoff, title and relegation probabilities
- Player projections, breakout and decline models
- Ranking and anomaly detection models
- Probability calibration
- Documented, reproducible Python code
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