Myles Turner

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 215 games, 6,005.4 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons: 1.8
Percentile rank 9 among 482 measured profiles
pct 9 of 482 measured
Field-goal percentage, corpus seasons: 49.0%
Percentile rank 74 among 482 measured profiles
pct 74 of 482 measured
Three-point percentage, corpus seasons: 38.4%
Percentile rank 81 among 482 measured profiles
pct 81 of 482 measured
Free-throw percentage, corpus seasons: 76.4%
Percentile rank 43 among 482 measured profiles
pct 43 of 482 measured
Games played, corpus seasons: 215
Percentile rank 94 among 482 measured profiles
pct 94 of 482 measured
Minutes played, corpus seasons: 6005.4
Percentile rank 88 among 482 measured profiles
pct 88 of 482 measured
Points per 36 minutes, corpus seasons: 19.2
Percentile rank 78 among 482 measured profiles
pct 78 of 482 measured
Rebounds per 36 minutes, corpus seasons: 8.1
Percentile rank 74 among 482 measured profiles
pct 74 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

38.4 percent from three from the five spot.
The rebounding rate, 8.1 per 36, is modest for the position -- the cost of standing outside.
Scoring sits at 19.2 per 36 on 49 percent shooting.

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

MIL: active 0.4225 vs missed 0.2000 (delta +0.2225)

n_active=71, n_missed=10, ci95_offset=[-0.2733, 0.2733]

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

Form curve mover -- top_movers_fallers #1

delta=-11.043

n_qual_games=214

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