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: The roster bends round himGilgeous-AlexanderKenrich Williams: The roster bends round himK. WilliamsJalen Williams: Average fitJ. WilliamsIsaiah Joe: The roster bends round himJoeLuguentz Dort: Average fitDortJosh Giddey: Average fitGiddeyDario Saric: The roster bends round himSaricLindy Waters III: The roster bends round himWaters IIIAaron Wiggins: The roster bends round himWigginsJeremiah Robinson-Earl: Needs some shapingRobinson-EarlOusmane Dieng: Hardest to fitDiengJaylin Williams: Needs some shapingJ. WilliamsJared Butler: Offense-leaning, weak defenseButlerBELOW REPLACEMENT · NOT IN THE BOX · SAME SCALETre Mann: Hardest to fitMannAleksej Pokusevski: The roster bends round himPokusevskiOlivier Sarr: Needs some shapingSarr

Season by season

2000-012026-27

14%

of the box filled, 24 of 30. 13 players in the box, worth 9.7 per 100 above replacement.

−0.8

team fit, points per 100 its lineups are predicted to gain or lose by playing together (O −0.8, D +0.0). 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.

Balanced3%
Perimeter shooter1%
On-ball creator8%
Interior big0%
Disruptor / connector2%
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.