Skip to content
Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12

Darius Garland

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 171 games, 5,350.6 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
7.7
Percentile rank 96 among 482 measured profiles
pct 96 of 482 measured
Field-goal percentage, corpus seasons
46.1%
Percentile rank 55 among 482 measured profiles
pct 55 of 482 measured
Three-point percentage, corpus seasons
39.1%
Percentile rank 86 among 482 measured profiles
pct 86 of 482 measured
Free-throw percentage, corpus seasons
85.6%
Percentile rank 86 among 482 measured profiles
pct 86 of 482 measured
Games played, corpus seasons
171
Percentile rank 63 among 482 measured profiles
pct 63 of 482 measured
Minutes played, corpus seasons
5350.6
Percentile rank 81 among 482 measured profiles
pct 81 of 482 measured
Points per 36 minutes, corpus seasons
22.2
Percentile rank 89 among 482 measured profiles
pct 89 of 482 measured
Rebounds per 36 minutes, corpus seasons
3.1
Percentile rank 3 among 482 measured profiles
pct 3 of 482 measured
Seasons in corpus
3
Percentile rank 64 among 482 measured profiles
pct 64 of 482 measured
Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.

What stands out

  • Shooting and creation together: 39.1 percent from deep, 7.7 assists per 36.
  • Scoring volume is 22.2 points per 36 on 46.1 percent overall.
  • Rebounding is negligible at 3.1 per 36, as the role implies.
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
CLE: active 0.5000 vs missed 0.6667 (delta -0.1667)
n_active=26, n_missed=9, ci95_offset=[-0.363, 0.363]
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.
Read analysis