In this program
- Sports data fundamentals
- Modeling and prediction
- Inference and ethics
Modeling and prediction
Sports analytics · STEM / applied
Regression models for player performance
Objectives
- Regression models for player performance
- Logistic models for win probability
- Simulation
- Monte Carlo season projections
- Ranking systems: Elo
- Bradley–Terry (intro)
- Draft and roster optimization (introduction)
Study materials
- Study guideComing soon
- Exam StrategyComing soon
- Common MistakesComing soon
- WorksheetsComing soon
- Word problemsComing soon
- Mixed PracticeComing soon
- Multi-Unit ProblemsComing soon
- ReviewComing soon
- Practice testComing soon
- Answer keyComing soon
Interactive practice
Quizzes, typed answers, and flashcards for this unit — coming soon.
- Coming soon
Quiz
Multiple-choice questions with instant feedback
- Coming soon
Typed practice
Type answers and check them
- Coming soon
Flashcards
Vocabulary and key facts
- Coming soon
Mixed quiz
Harder mixed review for this standard