NBA ref × team matrix
Team W-L when each of 53 referees worked their games (2021-10-15 – 2026-04-02). Cells require 3+ games in this dataset. Not predictions; see methodology.
Historical dataset; W-L derived from stored win rates and may round slightly.
Each cell shows that ref's approximate W-L with the team (not the team's overall record). The baseline row under each logo is the team's full sample W-L for coloring only. Cells need 3+ games; empty cells are below the sample gate. Colors compare ref×team win rate to the team baseline; bold borders flag standout splits. Tap a cell for that ref's profile (including tight-game proxy). Historical splits only, not picks.
Scroll horizontally to compare all NBA teams. Baseline W-L sits under each logo; cell numbers are ref×team splits only.
Standout ref×team splits
Cells where a team's win rate with that ref diverges sharply from their baseline in this sample. Descriptive only, not picks.
Below baseline
Dannica Baroody with Phoenix Suns: ref×team 0-6 (0.0%) in 6 games, -49.0 vs team sample baseline 200-208 (49.0% across 408 gp).
Above baseline
Rodney Mott with New York Knicks: ref×team 13-2 (86.7%) in 15 games, +39.6 vs team sample baseline 188-211 (47.1% across 399 gp).
Above baseline
Natalie Sago with Minnesota Timberwolves: ref×team 10-2 (83.3%) in 12 games, +38.2 vs team sample baseline 187-228 (45.1% across 415 gp).
Below baseline
Ray Acosta with Washington Wizards: ref×team 1-10 (9.1%) in 11 games, -35.4 vs team sample baseline 186-232 (44.5% across 418 gp).
Above baseline
CJ Washington with Toronto Raptors: ref×team 12-3 (80.0%) in 15 games, +33.8 vs team sample baseline 188-219 (46.2% across 407 gp).
Above baseline
Nick Buchert with Toronto Raptors: ref×team 12-3 (80.0%) in 15 games, +33.8 vs team sample baseline 188-219 (46.2% across 407 gp).
Related views
Compare recurring crews or browse ref profiles for tight-game proxies.