Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Josh Hart
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 223 games, 7,536.8 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 5.2Percentile rank 78 among 482 measured profilespct 78 of 482 measured
- Field-goal percentage, corpus seasons
- 49.1%Percentile rank 75 among 482 measured profilespct 75 of 482 measured
- Three-point percentage, corpus seasons
- 35.2%Percentile rank 50 among 482 measured profilespct 50 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
- 223Percentile rank 96 among 482 measured profilespct 96 of 482 measured
- Minutes played, corpus seasons
- 7536.8Percentile rank 98 among 482 measured profilespct 98 of 482 measured
- Points per 36 minutes, corpus seasons
- 12.4Percentile rank 23 among 482 measured profilespct 23 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 9Percentile rank 80 among 482 measured profilespct 80 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
- 9 rebounds per 36 alongside 5.2 assists: the line of a connector, not a scorer.
- Scoring is secondary at 12.4 per 36, but efficient at 49.1 percent from the field.
- He was available for 223 games in the window.
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. Rebound rate carries no position, lineup, or scheme adjustment -- a wing on a team that leaks defensive boards rates higher for reasons that are not his.
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 0.6667 vs missed 0.5714 (delta +0.0952)
n_active=66, n_missed=14, ci95_offset=[-0.2831, 0.2831]
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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