NBAAnalytic

Data Deep-Dives

Long-form investigations that start with a question and follow the numbers wherever they lead. No takes without a table behind them.

These are the pieces that start with a question and end with a table. Most of them run against the datasets published at /data/data_layer/ — the 2023-24 game results, the team ratings, and 25,000 shot-level records — which means every figure in them can be recomputed by anyone who downloads the same file. Each article states its filter, its sample size, and its standard error, and several of them end by reporting that there is nothing there: the two sides of an NBA floor are statistically indistinguishable, the revenge-game effect is an artifact of the rating you conditioned on, and win streaks arrive at close to the rate that weighted coin flips predict. The nulls are kept on purpose. A lane that published only the questions that worked out would not be worth reading.