DAWG
Measure hidden disruption, advantage creation, and grit contributions in NBA play.
What it measures
Players who consistently create extra possessions and micro-edges help team outcomes beyond box score totals.
How to read it
Higher values indicate stronger hidden-value impact.
Why it exists
The box score records what happened at the end of a possession and almost nothing about who bent it. A deflection that forces a reset, a screen that frees a shooter two passes early, a loose ball won on the floor - these change outcomes and leave no trace in points, rebounds, or assists. DAWG is an explicit bet that those events are worth aggregating into one number rather than leaving them scattered across hustle tables nobody reads. The component weights are judgment, not fit: nothing here is regressed against wins, because doing so would collapse the metric into a worse version of the impact estimates it is meant to complement. It is descriptive and it stays descriptive. DAWG says a player did these things at this rate. It does not say that doing them caused a team to win.
Limits
- This is the legacy box-score continuity proxy, not the unpublished opportunity-adjusted DAWG v2 contract.
- Depends on data quality of hustle-event tracking proxies.
- Context effects can bias individual interpretation.
- Component weights are chosen, not fitted; they encode a judgment about what matters.
- The standard error reflects sample size only and understates true uncertainty.
Calculation, evidence, and implementation
Calculation
Inputs
Deflections, Stocks Per 75, Charges Drawn, Screen Assists, Ast To, Matchup Difficulty, Loose Balls Recovered, Rebounds, On Off Net
Methodology
Weighted component aggregation per player-season with game-count shrinkage.
Normalization
0-100 legacy index with 50 as the approximate eligible-population center; it is not a points-per-possession rate.
Uncertainty
Current legacy output uses a games-based approximation; DAWG v2 must use event variance, exposure, role, and measurement uncertainty.
Evaluation
Year-over-year stability and team outcome association checks.
Sources
Src/Sports Intelligence/Leagues/NBA/Metrics/Dawg/Dawg NBA.Py, Src/Sports Intelligence/Shared/Uncertainty/Intervals.Py
Implementation
Registry identifier: DAWG_NBA. Version 1.0.0; status drafted.