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

Bam Adebayo

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 214 games, 7,181.5 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
4
Percentile rank 64 among 482 measured profiles
pct 64 of 482 measured
Field-goal percentage, corpus seasons
48.1%
Percentile rank 70 among 482 measured profiles
pct 70 of 482 measured
Three-point percentage, corpus seasons
33.2%
Percentile rank 32 among 482 measured profiles
pct 32 of 482 measured
Free-throw percentage, corpus seasons
76.3%
Percentile rank 42 among 482 measured profiles
pct 42 of 482 measured
Games played, corpus seasons
214
Percentile rank 93 among 482 measured profiles
pct 93 of 482 measured
Minutes played, corpus seasons
7181.5
Percentile rank 98 among 482 measured profiles
pct 98 of 482 measured
Points per 36 minutes, corpus seasons
20.5
Percentile rank 84 among 482 measured profiles
pct 84 of 482 measured
Rebounds per 36 minutes, corpus seasons
10.7
Percentile rank 90 among 482 measured profiles
pct 90 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 double-double rate is steady: 20.5 points and 10.7 rebounds per 36.
  • 4 assists per 36 is the distinguishing number for a center in this set.
  • The jumper stays unfinished: 33.2 percent from three, 76.3 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
MIA: active 0.5068 vs missed 0.6667 (delta -0.1598)
n_active=73, n_missed=9, ci95_offset=[-0.3286, 0.3286]
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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