Explore the peaks and valleys of NBA game leads: this 3D data visualization shows every moment a team was leading 🟦 or trailing 🟥 during an entire season.
I recommend using asdf to manage Python versions (I’m currently using 3.13). Run python -m pip install -r requirements.txt to install dependencies.
Run python scraper/get-games.py to (respectfully) scrape play-by-play data from basketball-reference.com.
Tweak the options object in the get-games.py file to get a specific season, like options['year'] = [2025].
If there are games already scraped, the scraper will skip those and append only missing ones to each team’s .csv file.