Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
OG Anunoby
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 190 games, 6,622 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 2.2Percentile rank 24 among 482 measured profilespct 24 of 482 measured
- Field-goal percentage, corpus seasons
- 48.2%Percentile rank 70 among 482 measured profilespct 70 of 482 measured
- Three-point percentage, corpus seasons
- 38.0%Percentile rank 77 among 482 measured profilespct 77 of 482 measured
- Free-throw percentage, corpus seasons
- 80.8%Percentile rank 67 among 482 measured profilespct 67 of 482 measured
- Games played, corpus seasons
- 190Percentile rank 77 among 482 measured profilespct 77 of 482 measured
- Minutes played, corpus seasons
- 6622Percentile rank 93 among 482 measured profilespct 93 of 482 measured
- Points per 36 minutes, corpus seasons
- 17.3Percentile rank 68 among 482 measured profilespct 68 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 5Percentile rank 36 among 482 measured profilespct 36 of 482 measured
- Seasons in corpus
- 3Percentile rank 64 among 482 measured profilespct 64 of 482 measured
Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.
What stands out
- 38 percent from three on 17.3 points per 36.
- 2.2 assists per 36 marks him as a finisher inside someone else's offense.
- Field-goal percentage of 48.2 is high for a perimeter shot diet.
Reading note
Per-36-minute rates over a 3-season sample (seasons_played: 3), not per-game and not full-career figures. The manifest is descriptive_only: no adjustment for opponent, teammates, role, or shot difficulty, and a career_min_minutes>=800 inclusion floor applies. Games and minutes measure availability, not how well those minutes were used.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
NYK: active 0.6716 vs missed 0.5714 (delta +0.1002)
n_active=67, n_missed=14, ci95_offset=[-0.2826, 0.2826]
WITH/WITHOUT = ROSTER CONFOUND: this is NOT a causal player-impact estimate. Why a player missed games is entangled with injuries clustering, rest-game scheduling, blowout pulls, and a different replacement lineup -- none controlled for. DESCRIPTIVE_ONLY, not a predictive or advantage claim.
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