Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Jalen Brunson
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 215 games, 7,566.2 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 7.1Percentile rank 93 among 482 measured profilespct 93 of 482 measured
- Field-goal percentage, corpus seasons
- 47.6%Percentile rank 65 among 482 measured profilespct 65 of 482 measured
- Three-point percentage, corpus seasons
- 38.4%Percentile rank 81 among 482 measured profilespct 81 of 482 measured
- Free-throw percentage, corpus seasons
- 83.6%Percentile rank 77 among 482 measured profilespct 77 of 482 measured
- Games played, corpus seasons
- 215Percentile rank 94 among 482 measured profilespct 94 of 482 measured
- Minutes played, corpus seasons
- 7566.2Percentile rank 99 among 482 measured profilespct 99 of 482 measured
- Points per 36 minutes, corpus seasons
- 27.5Percentile rank 98 among 482 measured profilespct 98 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 3.4Percentile rank 5 among 482 measured profilespct 5 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
- 27.5 points per 36 on 47.6 percent from the field and 38.4 percent from three.
- He creates as well as scores: 7.1 assists per 36 minutes.
- Rebounding is minimal by role at 3.4 per 36.
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 0.6757 vs missed 0.4286 (delta +0.2471)
n_active=74, n_missed=7, ci95_offset=[-0.3818, 0.3818]
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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