Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Zach LaVine
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 138 games, 4,699.5 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 3.8Percentile rank 60 among 482 measured profilespct 60 of 482 measured
- Field-goal percentage, corpus seasons
- 49.3%Percentile rank 76 among 482 measured profilespct 76 of 482 measured
- Three-point percentage, corpus seasons
- 41.4%Percentile rank 96 among 482 measured profilespct 96 of 482 measured
- Free-throw percentage, corpus seasons
- 84.5%Percentile rank 81 among 482 measured profilespct 81 of 482 measured
- Games played, corpus seasons
- 138Percentile rank 42 among 482 measured profilespct 42 of 482 measured
- Minutes played, corpus seasons
- 4699.5Percentile rank 71 among 482 measured profilespct 71 of 482 measured
- Points per 36 minutes, corpus seasons
- 22.7Percentile rank 91 among 482 measured profilespct 91 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 4.2Percentile rank 21 among 482 measured profilespct 21 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
- 41.4 percent from deep is the highest three-point mark in this marquee set.
- The overall 49.3 percent is unusual for a guard with that shot diet.
- Availability is the caveat: 138 games, among the fewest here.
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. The three-point comparison is scoped to the players with insight files in this set.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
SAC: active 0.2308 vs missed 0.2143 (delta +0.0165)
n_active=39, n_missed=14, ci95_offset=[-0.2524, 0.2524]
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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