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

Karl-Anthony Towns

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 208 games, 6,807.5 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
3.3
Percentile rank 51 among 482 measured profiles
pct 51 of 482 measured
Field-goal percentage, corpus seasons
51.1%
Percentile rank 81 among 482 measured profiles
pct 81 of 482 measured
Three-point percentage, corpus seasons
40.2%
Percentile rank 91 among 482 measured profiles
pct 91 of 482 measured
Free-throw percentage, corpus seasons
85.1%
Percentile rank 84 among 482 measured profiles
pct 84 of 482 measured
Games played, corpus seasons
208
Percentile rank 90 among 482 measured profiles
pct 90 of 482 measured
Minutes played, corpus seasons
6807.5
Percentile rank 95 among 482 measured profiles
pct 95 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
12.2
Percentile rank 94 among 482 measured profiles
pct 94 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

  • 40.2 percent from three at 12.2 rebounds per 36.
  • The scoring volume is real too: 24.2 points per 36 on 51.1 percent shooting.
  • Free-throw accuracy of 85.1 percent confirms the shooting touch is not a fluke of small samples.
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
NYK: active 0.6533 vs missed 0.6667 (delta -0.0133)
n_active=75, n_missed=6, ci95_offset=[-0.3923, 0.3923]
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
Box Value Index -- top_30 #19
box_value_index_per36=21.658
games=208
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)
Read analysis