Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
LaMelo Ball
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 135 games, 4,044.1 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 8.8Percentile rank 98 among 482 measured profilespct 98 of 482 measured
- Field-goal percentage, corpus seasons
- 41.1%Percentile rank 12 among 482 measured profilespct 12 of 482 measured
- Three-point percentage, corpus seasons
- 35.5%Percentile rank 54 among 482 measured profilespct 54 of 482 measured
- Free-throw percentage, corpus seasons
- 86.7%Percentile rank 91 among 482 measured profilespct 91 of 482 measured
- Games played, corpus seasons
- 135Percentile rank 41 among 482 measured profilespct 41 of 482 measured
- Minutes played, corpus seasons
- 4044.1Percentile rank 62 among 482 measured profilespct 62 of 482 measured
- Points per 36 minutes, corpus seasons
- 26.9Percentile rank 98 among 482 measured profilespct 98 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 5.9Percentile rank 53 among 482 measured profilespct 53 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
- 26.9 points and 8.8 assists per 36: enormous offensive responsibility.
- 41.1 percent from the field is the cost attached to it.
- Availability compounds the question: 135 games across 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. The comparison is scoped to the players with insight files in this set; nothing here adjusts for shot difficulty or supporting cast.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
CHA: active 0.5694 vs missed 0.3000 (delta +0.2694)
n_active=72, n_missed=10, ci95_offset=[-0.3062, 0.3062]
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 #13
composite_cv_shrunk=0.4053
games=134
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