This project compares manually specified linear regression models using NBA player and team statistics against ESPN’s 2025/26 fantasy point projections, evaluating how closely each model matches ESPN and actual player performance.

This project uses logistic regression to predict NBA All-NBA selections based on player statistics, efficiency and team performance. Five models were developed and evaluated, with their predictions compared against actual selections to assess performance and identify opportunities for future improvements.