Basketball · Research
Predicting basketball shot probability based on player behavior and situational factors
2024-25Updated Nov 15, 2024Archived
Project Overview
Foundational research code and exploratory data analysis notebooks focusing on college and professional basketball efficiency metrics.
Problem & Objective
Incoming BSA data analysts needed a clean exploratory codebase and standardized data pipeline for analyzing basketball play-by-play and shot-chart datasets.
Analytical Approach
Developed modular Jupyter notebooks for cleaning raw basketball event logs, computing advanced ratings (ORTG, DRTG, Pace), and building shot density visualizations.
Key Result & Impact
Served as the baseline research pipeline for Fall 2024 basketball analytics sub-projects and member onboarding.
Tech Stack & Tools
PythonJupyter Notebookpandasmatplotlib