R package

To quickly and efficiently load Australian basketball statistics from the NBL

Visualize Euroleague data, shot charts, heat maps etc.

A pretty comprehensive analysis of EL data from the EL API

A repo with code for each post of the Wizards Points Substack

🏀 Transforming the world of basketball through Sports Analytics in Spain

A data science project using R to visualize basketball data and predict whether a shot taken by Antony Davis will be made or missed.

hooplyticsR is a basketball analytics project that uses machine learning to predict player performance metrics. It applies k-Nearest Neighbors (kNN) regression models to forecast key basketball statistics like points, rebounds, assists, and fantasy scores using the caret package in R.

Using r and basketball data determine the most impactful players on an NBA team over the course of a season

Data Analysis and Visualizations on the Basketball Dataset using R Programming

Feature story and data visualizations examining the draft history of the Charlotte Bobcats and the new Charlotte Hornets.

Breaking down NBA play-by-play data to show how teams perform when each player plays or not.

Files associated with a statistical analysis of Minnesota Timberwolves player data