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Descriptive only — no edge claimed. These are career per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12

Victor Wembanyama

Descriptive card · conservative measured rates.
seasons played
3
Higher than 64% of 482 in pack
games
179
Higher than 70% of 482 in pack
minutes
5429.9
Higher than 81% of 482 in pack
PTS /36
27.8
Higher than 98% of 482 in pack
REB /36
13.1
Higher than 96% of 482 in pack
AST /36
4.2
Higher than 66% of 482 in pack
FG %
48.3
Higher than 71% of 482 in pack
3P %
34.2
Higher than 42% of 482 in pack
FT %
81.7
Higher than 70% of 482 in pack
Bars show where this card sits within its own pack (482 nba players), by simple rank of the measured value. Higher is only higher -- no quality judgement is implied.

What stands out

  • The 13.1 rebounds per 36 minutes is the highest rebounding rate among the stars profiled in this pack.
  • He carries a 27.8-points-per-36 scoring load while stretching to the three-point line at 34.2 percent.
  • The sample is still young: 179 games across three seasons.
Reading note

Numbers are per-36-minute rates over a 3-season sample (seasons_played: 3), not per-game and not a full career; the manifest is descriptive_only, with no adjustment for opponent, teammates, role, or shot difficulty and a career_min_minutes>=800 inclusion floor. The rebounding comparison is only against the 20 star players in this pack, not the full league.

Also measured elsewhere

Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.

Team win rate with/without this player
SAS: active 0.7812 vs missed 0.7059 (delta +0.0754)
n_active=64, n_missed=17, ci95_offset=[-0.2391, 0.2391]
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 edge claim.
Form curve mover -- top_movers_risers #1
delta=+19.821
n_qual_games=179
NOT a live hot/cold streak or predictive signal (net-change over the whole span); NOT BPM/EPM/RAPM/DARKO (box-composite only, same limits as box_value_index.py); NOT age/opponent/role adjusted (raw box rates only); NOT player_id-deduped (accented names split across ids upstream -- carried through)
Box Value Index -- top_30 #4
box_value_index_per36=26.261
games=179
NOT RAPM/xRAPM (no stint-level PBP + ridge solve); NOT EPM/DARKO/LEBRON (both trained to predict RAPM); NOT Basketball-Reference BPM (no team pace/position/team-record adjustment terms); NOT defense-tracking-informed (box counting stats only; blk/stl are the only defensive ingredients)
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