Descriptive only — no edge claimed. These are career per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Andrew Wiggins
Descriptive card · conservative measured rates.
seasons played
3
Higher than 64% of 482 in pack
games
192
Higher than 78% of 482 in pack
minutes
5624.9
Higher than 84% of 482 in pack
PTS /36
19.0
Higher than 77% of 482 in pack
REB /36
5.7
Higher than 50% of 482 in pack
AST /36
2.8
Higher than 41% of 482 in pack
FG %
45.9
Higher than 53% of 482 in pack
3P %
38.1
Higher than 78% of 482 in pack
FT %
76.6
Higher than 44% 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.
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 0.5147 vs missed 0.5714 (delta -0.0567)
n_active=68, n_missed=14, ci95_offset=[-0.2852, 0.2852]
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 #3
delta=+11.268
n_qual_games=192
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)