nba-draft

Calculate the odds and simulate an NBA-like draft lottery with any number of teams and any chances per team.

This Shiny app compares the anthropometric and athletic measurements of draft prospects across NBA history, and allows for a surface-level evaluation of each participant by measuring each player against the historical averages of their positional peer group. The app also stores and displays historical box score stats from scrimmages at the combine.

Scripts to scrape NBA draft history and player statistics from basketball-reference.com, pipeline the scraped data into a MySQL relational database, and do analysis of the dataset.

Two stage machine learning pipeline projecting 5-year NBA career outcomes from college and combine measurements

Explainable NBA Draft prediction simulator with a frozen 60-pick 2026 pre-draft board.

Interactive Shiny dashboard for NBA Draft analytics, rookie success prediction, player comparison, team draft grades, and front office decision support.

Predicting the top 50 NCAA players entering the 2019 NBA Draft

Quantifying the Value of Each Pick in the NBA Draft

Fantasy Stats per game and per minute compiled based on sports.ws scoring.

Reusable Python package for NBA Draft prediction with preprocessing, feature engineering, cross-validation, LightGBM/XGBoost training, evaluation, and reporting utilities.