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

Paolo Banchero

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 190 games, 6,621.6 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
5.3
Percentile rank 79 among 482 measured profiles
pct 79 of 482 measured
Field-goal percentage, corpus seasons
45.5%
Percentile rank 51 among 482 measured profiles
pct 51 of 482 measured
Three-point percentage, corpus seasons
32.5%
Percentile rank 27 among 482 measured profiles
pct 27 of 482 measured
Free-throw percentage, corpus seasons
74.5%
Percentile rank 36 among 482 measured profiles
pct 36 of 482 measured
Games played, corpus seasons
190
Percentile rank 77 among 482 measured profiles
pct 77 of 482 measured
Minutes played, corpus seasons
6621.6
Percentile rank 93 among 482 measured profiles
pct 93 of 482 measured
Points per 36 minutes, corpus seasons
24.2
Percentile rank 94 among 482 measured profiles
pct 94 of 482 measured
Rebounds per 36 minutes, corpus seasons
7.8
Percentile rank 72 among 482 measured profiles
pct 72 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

  • 24.2 points per 36 with 5.3 assists: a forward asked to initiate.
  • The efficiency has not caught up: 45.5 percent from the field, 32.5 percent from three.
  • Rebounding contributes 7.8 per 36.
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
ORL: active 0.5278 vs missed 0.7000 (delta -0.1722)
n_active=72, n_missed=10, ci95_offset=[-0.3065, 0.3065]
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 analysis
Consistency profile -- most_consistent_top15 #9
composite_cv_shrunk=0.3913
games=190
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