PROJECT
NBA Injury Risk Analysis
An applied statistics project examining factors associated with NBA player injury frequency using injury records and player performance data.
OVERVIEW
Project overview
This project investigates factors associated with NBA player injury frequency using injury records and player performance data.
The analysis explores player characteristics, performance measures, workload, and injury patterns using exploratory analysis and statistical modeling.
ANALYSIS
What I explored
- Data cleaning and preparation
- Injury categorization
- Exploratory data analysis
- Visualization of injury patterns
- Examination of player characteristics
- Multiple linear regression modeling
CURRENT VERSION
What this project demonstrates
This project demonstrates my ability to combine injury records with player-level performance data and apply statistical methods to a sports analytics question.
The current version provides a foundation that I intend to strengthen as my statistical training develops.
NEXT VERSION
Future improvements
I plan to redo this project within the next year, with a stronger statistical methodology, improved feature engineering, model diagnostics, additional visualizations, and more careful interpretation of injury risk.