Oklahoma City Thunder

Also known as Wyman Diagrams. Created by @taylormetrics on TikTok, where they became a viral trend.

Size value over replacementOutlinePlugs in anywhereHardest to fitColourBalancedPerimeter shooterOn-ball creatorInterior bigDisruptor / connectorWhite what a perfect team would add
Shai Gilgeous-Alexander: Fits most rostersGilgeous-AlexanderJalen Williams: Average fitJ. WilliamsIsaiah Hartenstein: Fits most rostersHartensteinLuguentz Dort: Average fitDortAaron Wiggins: Average fitWigginsAlex Caruso: Average fitCarusoCason Wallace: Average fitWallaceIsaiah Joe: Average fitJoeChet Holmgren: Average fitHolmgrenKenrich Williams: The roster bends round himK. WilliamsJaylin Williams: Average fitJ. WilliamsOusmane Dieng: Hardest to fitDiengBranden Carlson: Hardest to fitCarlsonAjay Mitchell: Hardest to fitMitchellBELOW REPLACEMENT · NOT IN THE BOX · SAME SCALEDillon Jones: The roster bends round himJonesAdam Flagler: Hardest to fitFlaglerAlex Ducas: Needs some shapingDucas

Season by season

2000-012026-27

71%

of the box filled, 2 of 30. 14 players in the box, worth 23.3 per 100 above replacement.

+1.1

team fit, points per 100 its lineups are predicted to gain or lose by playing together (O +0.6, D +0.6). An estimate.

What fills the box

Share of the box by kind of player. The tick is the average of the season’s five fullest rosters.

Balanced15%
Perimeter shooter3%
On-ball creator40%
Interior big6%
Disruptor / connector7%
PlayerMPGDPMBox

This version uses Taylormetrics’ Wyman Diagram and Justin Liu’s model and packer. Size is DPM above a −2.0 replacement level to the power 2.2, times minutes per game. Outlines are an estimate: they predict the hand-drawn originals only weakly, so read them as a lean, not a stat. Playoff-adjusted moves each player by his career playoff offense change and playability.