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Descriptive only — no edge claimed. These are career per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12

Josh Hart

Descriptive card · conservative measured rates.
seasons played
3
Higher than 64% of 482 in pack
games
223
Higher than 96% of 482 in pack
minutes
7536.8
Higher than 98% of 482 in pack
PTS /36
12.4
Higher than 23% of 482 in pack
REB /36
9.0
Higher than 80% of 482 in pack
AST /36
5.2
Higher than 78% of 482 in pack
FG %
49.1
Higher than 75% of 482 in pack
3P %
35.2
Higher than 50% of 482 in pack
FT %
76.3
Higher than 42% of 482 in pack
Bars show where this card sits within its own pack (482 nba players), by simple rank of the measured value. Higher is only higher -- no quality judgement is implied.

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 edge claim.