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

Alperen Sengun

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 210 games, 6,814.2 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
6
Percentile rank 86 among 482 measured profiles
pct 86 of 482 measured
Field-goal percentage, corpus seasons
51.7%
Percentile rank 83 among 482 measured profiles
pct 83 of 482 measured
Three-point percentage, corpus seasons
28.2%
Percentile rank 13 among 482 measured profiles
pct 13 of 482 measured
Free-throw percentage, corpus seasons
69.3%
Percentile rank 17 among 482 measured profiles
pct 17 of 482 measured
Games played, corpus seasons
210
Percentile rank 91 among 482 measured profiles
pct 91 of 482 measured
Minutes played, corpus seasons
6814.2
Percentile rank 95 among 482 measured profiles
pct 95 of 482 measured
Points per 36 minutes, corpus seasons
22.4
Percentile rank 90 among 482 measured profiles
pct 90 of 482 measured
Rebounds per 36 minutes, corpus seasons
10.6
Percentile rank 89 among 482 measured profiles
pct 89 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

  • 6 assists per 36 from the pivot is the defining number in this line.
  • The scoring and rebounding are conventional big-man volume: 22.4 and 10.6 per 36.
  • The shooting is not part of the package: 28.2 percent from three, 69.3 percent from the line.
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
HOU: active 0.6389 vs missed 0.5556 (delta +0.0833)
n_active=72, n_missed=9, ci95_offset=[-0.3431, 0.3431]
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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Consistency profile -- most_consistent_top15 #10
composite_cv_shrunk=0.3939
games=208
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