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

Luka Doncic

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 184 games, 6,685.4 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
8.6
Percentile rank 97 among 482 measured profiles
pct 97 of 482 measured
Field-goal percentage, corpus seasons
47.4%
Percentile rank 64 among 482 measured profiles
pct 64 of 482 measured
Three-point percentage, corpus seasons
37.3%
Percentile rank 72 among 482 measured profiles
pct 72 of 482 measured
Free-throw percentage, corpus seasons
78.3%
Percentile rank 53 among 482 measured profiles
pct 53 of 482 measured
Games played, corpus seasons
184
Percentile rank 74 among 482 measured profiles
pct 74 of 482 measured
Minutes played, corpus seasons
6685.4
Percentile rank 94 among 482 measured profiles
pct 94 of 482 measured
Points per 36 minutes, corpus seasons
31.9
Percentile rank 99 among 482 measured profiles
pct 99 of 482 measured
Rebounds per 36 minutes, corpus seasons
8.4
Percentile rank 77 among 482 measured profiles
pct 77 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

  • The scoring-plus-playmaking load is heavy: 31.9 points and 8.6 assists per 36 minutes.
  • He rebounds at 8.4 per 36 minutes, high for a lead guard.
  • Efficiency is solid but not elite: 47.4 percent from the field and 37.3 percent from three.
Reading note

Numbers are per-36-minute rates over a 3-season sample (seasons_played: 3), not per-game and not a full career; the manifest is descriptive_only, with no adjustment for opponent, teammates, role, or shot difficulty and a career_min_minutes>=800 inclusion floor. A rate says nothing about usage or shot quality.

Also measured elsewhere

Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.

Team win rate with/without this player
LAL: active 0.6719 vs missed 0.5385 (delta +0.1334)
n_active=64, n_missed=13, ci95_offset=[-0.2944, 0.2944]
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
Consistency profile -- most_consistent_top15 #1
composite_cv_shrunk=0.3448
games=184
NOT a skill/value metric -- a low-volume role player can be very consistent at low output; NOT opponent/rest/role/home-away adjusted -- raw game-to-game dispersion only; NOT predictive -- describes past games, does not forecast future variance
Read analysis
Box Value Index -- top_30 #5
box_value_index_per36=24.884
games=129
NOT RAPM/xRAPM (no stint-level PBP + ridge solve); NOT EPM/DARKO/LEBRON (both trained to predict RAPM); NOT Basketball-Reference BPM (no team pace/position/team-record adjustment terms); NOT defense-tracking-informed (box counting stats only; blk/stl are the only defensive ingredients)
Read analysis
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