Category

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.

Data Deep-Dives

How Many Wins Is a Net-Rating Point Worth?

Each point of net rating was worth 2.33 wins across 2023-24's 30 teams (r²=0.95), with the line through exactly 41 wins at zero. The margin is the standings.

8 min read
Data Deep-Dives

The Most and Least Consistent NBA Teams of 2023-24

The steadiest team of 2023-24 was Detroit (margin SD 12.0) — one of the worst; the wildest was Dallas (SD 18.0), which reached the Finals. Steady isn't good.

8 min read
Data Deep-Dives

How Often Does the Better Team Win in the NBA?

The better team by net rating won 67.9% of 2023-24 games — a near coin-flip (55%) in toss-ups, up to 81% in mismatches. It all hangs on the talent gap.

8 min read
Data Deep-Dives

Are NBA Win Streaks Real or Just Randomness?

Rebuild every 2023-24 win/loss sequence and compare it to weighted coin flips — the real streaks land almost exactly on the random null. Momentum isn't there.

8 min read