Build a Team Four Factors Dashboard in a Spreadsheet
No code required. Pull four numbers per team and build a dashboard that explains why teams win — Dean Oliver's Four Factors, in a spreadsheet.
7 min read
Category
Tutorials
Hands-on guides for pulling, cleaning, and visualizing basketball data yourself — from your first nba_api call to a finished shot chart.
How to Build Your First Shot Chart from NBA Tracking Data (Python + matplotlib)
From a raw shot-location pull to a publishable hex shot chart on a drawn court. Real, runnable code, explained line by line.
9 min read
Build a Simple Net-Rating Power Ranking in a Spreadsheet
No code required. Pull one table of team ratings, add a couple of columns, and build a defensible power ranking in a spreadsheet.
6 min read
Every Free Public Basketball Data Source, Ranked
nba_api, Basketball-Reference, pbpstats, and more — ranked by coverage, reliability, and how much pain they'll cause you. A field guide.
7 min read
Getting Started with nba_api in Python: Pull NBA Data in 10 Minutes
Install one package, run a few lines of Python, and you've got real NBA stats in a DataFrame. A complete, copy-pasteable starter guide.
8 min read