Featured
The Pace-and-Space Revolution: How the Three-Pointer Rewired the NBA, by the Numbers
In two decades the three-pointer went from a luxury to the center of gravity of NBA offense. Here's the rewiring, charted season by season.
Numbers over noise · Est. 2026
The NBA, read through the data.
Original, data-driven NBA analysis — explainers, tutorials, and deep-dives built on public data I pull and chart myself. No invented stats, no hot takes without a table behind them.
20Launch articles
6Categories
100%Sourced stats
0Made-up numbers
Fresh off the spreadsheet
Latest articles
Clutch Time, Quantified: Do “Clutch Players” Actually Exist in the Data?
The NBA defines clutch time precisely: last five minutes, margin within five. So I pulled it — and tested whether “clutch” is a real, stable skill.
8 min read
The Modern Center: How the Position's Stat Profile Changed in a Decade
The center that anchored 2014 offenses would look out of place today. I tracked how the position's statistical fingerprint changed, year by year.
7 min read
Revisiting Five Famous Trades with Win-Share Hindsight
Trades are judged the day they happen. Win Shares let us re-grade five famous deals years later, when the production is finally in.
7 min read
The 10 Most Statistically Improbable Seasons in NBA History
Some seasons don't just lead the league — they break the distribution. A tour of the most statistically absurd individual years on record.
8 min read
Anatomy of a Breakout: A Statistical Framework for Spotting Real Improvement
Hot stretches fade; real leaps stick. A framework — usage, efficiency, role, and shot diet — for telling a breakout from a mirage.
7 min read
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
Find your lane
Browse by category
Six beats, one standard: every claim traces back to a number, and every number traces back to a source.
6 articles
Stat Explainers
Plain-English breakdowns of the box-score and advanced metrics that actually matter — what each stat measures, the formula behind it, and where it misleads you.
4 articlesTutorials
Hands-on guides for pulling, cleaning, and visualizing basketball data yourself — from your first nba_api call to a finished shot chart.
2 articlesData Deep-Dives
Long-form investigations that start with a question and follow the numbers wherever they lead. No takes without a table behind them.
3 articlesBasketball History
The league's past, re-examined through modern statistics — record-setting seasons, rule changes, and trades revisited with the benefit of hindsight.
2 articlesPlayer & Team Analysis
Frameworks and case studies for evaluating players and teams: spotting real improvement, reading stat profiles, and separating signal from noise.
3 articlesMethodology & Projections
How forecasting and win-probability models are built, why they disagree, and what the data really says about predicting basketball.