Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Shai Gilgeous-Alexander
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 218 games, 7,375.7 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 6.8Percentile rank 91 among 482 measured profilespct 91 of 482 measured
- Field-goal percentage, corpus seasons
- 53.5%Percentile rank 86 among 482 measured profilespct 86 of 482 measured
- Three-point percentage, corpus seasons
- 37.2%Percentile rank 71 among 482 measured profilespct 71 of 482 measured
- Free-throw percentage, corpus seasons
- 88.4%Percentile rank 95 among 482 measured profilespct 95 of 482 measured
- Games played, corpus seasons
- 218Percentile rank 95 among 482 measured profilespct 95 of 482 measured
- Minutes played, corpus seasons
- 7375.7Percentile rank 98 among 482 measured profilespct 98 of 482 measured
- Points per 36 minutes, corpus seasons
- 33.3Percentile rank 100 among 482 measured profilespct 100 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 5.3Percentile rank 43 among 482 measured profilespct 43 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
- The scoring rate of 33.3 points per 36 minutes comes on unusually clean efficiency for a guard: 53.5 percent from the field.
- He is reliable at the stripe, converting 88.4 percent of free throws.
- Durability shows up too: 218 games across the three-season window, among the highest game counts in this pack.
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. High field-goal percentage for a guard often reflects a mid-range and rim-heavy diet, which the raw rate does not separate.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
OKC: active 0.8235 vs missed 0.6667 (delta +0.1569)
n_active=68, n_missed=12, ci95_offset=[-0.2817, 0.2817]
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 analysisConsistency profile -- most_consistent_top15 #5
composite_cv_shrunk=0.3783
games=218
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 analysisBox Value Index -- top_30 #9
box_value_index_per36=23.517
games=218
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 analysisAsk Scout about Shai Gilgeous-Alexander