Standard syllabus
Sports analytics · Undergraduate · Statistics
Topics
Sports data fundamentals
- Event data vs aggregate statistics
- Player and team rating systems
- Sabermetrics and advanced baseball metrics
- Expected goals and possession models in soccer/hockey
- Home-field advantage and schedule effects
Modeling and prediction
- Regression models for player performance
- Logistic models for win probability
- Simulation and Monte Carlo season projections
- Ranking systems: Elo and Bradley–Terry (intro)
- Draft and roster optimization (introduction)
Inference and ethics
- Hypothesis testing with small sports samples
- Bayesian updating for in-game decisions
- Analytics in coaching and front-office roles
- Privacy and fairness in player tracking data
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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