Milwaukee Bucks

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
Ray Allen: Needs some shapingAllenSam Cassell: The roster bends round himCassellGlenn Robinson: The roster bends round himRobinsonTim Thomas: Average fitThomasErvin Johnson: Fits most rostersJohnsonScott Williams: The roster bends round himWilliamsLindsey Hunter: Hardest to fitHunterDarvin Ham: Average fitHamJoel Przybilla: Needs some shapingPrzybillaRafer Alston: Hardest to fitAlstonJerome Kersey: Hardest to fitKerseyMichael Redd: Hardest to fitReddBELOW REPLACEMENT · NOT IN THE BOX · SAME SCALEMark Pope: Needs some shapingPopeJason Hart: Offense-leaning, weak defenseHartJason Caffey: Hardest to fitCaffey

Season by season

2000-012026-27

26%

of the box filled, 12 of 29. 12 players in the box, worth 15.2 per 100 above replacement.

+0.0

team fit, points per 100 its lineups are predicted to gain or lose by playing together (O +0.4, D −0.4). 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 shooter0%
On-ball creator20%
Interior big3%
Disruptor / connector0%
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.