Understanding Archetypes
NetStats uses a unified 11-archetype system to describe NBA players throughout the app. Here's how it works and where you'll see it.
The 11 Unified Archetypes
Start with a 3×3 grid: usage tier (how much a player has the ball) × scoring zone (rim, perimeter, or mixed). That produces 9 base archetypes. Then a separate check asks: is this player one of the league's top distributors by raw pass volume? If yes, their archetype is overridden to Primary Creator or Secondary Creator — because passing is their defining function, not how they happen to score.
Any player who ranks in the top tier of the league's raw pass volume gets reassigned to one of these two archetypes — regardless of what the 3×3 grid would have given them. A corner perimeter shooter who passes at elite volume becomes Secondary Creator. Their shot chart is secondary; their ability to initiate and distribute ball movement is the defining trait.
Where Archetypes Appear
Scoring Styles (shot chart clusters)
Separate from unified archetypes, Scoring Styles are 9 shot-chart-based groups. We analyze where every player takes their shots — rim, mid-range, three-point line — and group players with similar shooting patterns together. They power the Scoring Style color mode in the League Landscape and the trends on the League Dynamics page.
Scoring Style clusters are re-fitted each season using a Gaussian Mixture Model on shot zone data. Up to 10 styles are produced; the exact mix varies by season. The unified archetype system collapses these into a stable 11-category vocabulary used across all pages.
Passing Roles (network topology)
The passing network graph produces two broad topology roles based on pass volume and distribution patterns. These appear in the League Dynamics trends and inform the passing dimension of unified archetypes.
The finer-grained passing cluster breakdown (7 clusters) is used internally to compute Court Centrality and Playmaking dimensions in the synergy matrix — but simplified to these two roles for display.
Usage Patterns
Usage Patterns describe how much of a team's offense a player controls — not how they score, but how central they are to the offensive structure. Each player is grouped into one of 7 usage tiers based on minutes, touches, time of possession, and dribble rate. You'll see this on the Player page in the Archetypes panel and the Career Arc.
Usage Patterns are re-fitted each season from raw touches, time of possession, and dribble data. The probability bar on a player's page shows how cleanly they fit their assigned usage tier versus adjacent ones.