Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Andrew Wiggins
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 192 games, 5,624.9 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 2.8Percentile rank 41 among 482 measured profilespct 41 of 482 measured
- Field-goal percentage, corpus seasons
- 45.9%Percentile rank 53 among 482 measured profilespct 53 of 482 measured
- Three-point percentage, corpus seasons
- 38.1%Percentile rank 78 among 482 measured profilespct 78 of 482 measured
- Free-throw percentage, corpus seasons
- 76.6%Percentile rank 44 among 482 measured profilespct 44 of 482 measured
- Games played, corpus seasons
- 192Percentile rank 78 among 482 measured profilespct 78 of 482 measured
- Minutes played, corpus seasons
- 5624.9Percentile rank 84 among 482 measured profilespct 84 of 482 measured
- Points per 36 minutes, corpus seasons
- 19Percentile rank 77 among 482 measured profilespct 77 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 5.7Percentile rank 50 among 482 measured profilespct 50 of 482 measured
- Seasons in corpus
- 3Percentile rank 64 among 482 measured profilespct 64 of 482 measured
Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.
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 advantage claim.
Read analysisForm 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)
Read analysis