Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Jaylen Brown
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 204 games, 6,944.2 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 4.7Percentile rank 72 among 482 measured profilespct 72 of 482 measured
- Field-goal percentage, corpus seasons
- 48.0%Percentile rank 69 among 482 measured profilespct 69 of 482 measured
- Three-point percentage, corpus seasons
- 34.2%Percentile rank 42 among 482 measured profilespct 42 of 482 measured
- Free-throw percentage, corpus seasons
- 76.3%Percentile rank 42 among 482 measured profilespct 42 of 482 measured
- Games played, corpus seasons
- 204Percentile rank 87 among 482 measured profilespct 87 of 482 measured
- Minutes played, corpus seasons
- 6944.2Percentile rank 96 among 482 measured profilespct 96 of 482 measured
- Points per 36 minutes, corpus seasons
- 26.2Percentile rank 97 among 482 measured profilespct 97 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 6.5Percentile rank 60 among 482 measured profilespct 60 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
- The two-point game does the work: 48 percent overall against 34.2 percent from deep.
- He rebounds well for a wing at 6.5 per 36.
- Free-throw shooting lags the scoring role at 76.3 percent.
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
BOS: active 0.6620 vs missed 0.8000 (delta -0.1380)
n_active=71, n_missed=10, ci95_offset=[-0.2712, 0.2712]
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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