Domantas Sabonis

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 171 games, 5,926.1 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons: 7.1
Percentile rank 93 among 482 measured profiles
pct 93 of 482 measured
Field-goal percentage, corpus seasons: 58.7%
Percentile rank 92 among 482 measured profiles
pct 92 of 482 measured
Three-point percentage, corpus seasons: 38.1%
Percentile rank 78 among 482 measured profiles
pct 78 of 482 measured
Free-throw percentage, corpus seasons: 72.5%
Percentile rank 28 among 482 measured profiles
pct 28 of 482 measured
Games played, corpus seasons: 171
Percentile rank 63 among 482 measured profiles
pct 63 of 482 measured
Minutes played, corpus seasons: 5926.1
Percentile rank 87 among 482 measured profiles
pct 87 of 482 measured
Points per 36 minutes, corpus seasons: 19.6
Percentile rank 80 among 482 measured profiles
pct 80 of 482 measured
Rebounds per 36 minutes, corpus seasons: 14
Percentile rank 98 among 482 measured profiles
pct 98 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

14 rebounds per 36 is the highest rebounding rate among the players profiled here.
7.1 assists per 36 from a center is the other half of the anomaly.
He converts 58.7 percent from the field and even 38.1 percent from three.

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. Comparisons are scoped to the players with insight files in this set. Rebound rate carries no lineup or scheme adjustment.

Also measured elsewhere

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

Team win rate with/without this player

SAC: active 0.1579 vs missed 0.2812 (delta -0.1234)

n_active=19, n_missed=32, ci95_offset=[-0.2262, 0.2262]

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

Consistency profile -- most_consistent_top15 #3

composite_cv_shrunk=0.3712

games=170

NOT a skill/value metric -- a low-volume role player can be very consistent at low output; NOT opponent/rest/role/home-away adjusted -- raw game-to-game dispersion only; NOT predictive -- describes past games, does not forecast future variance

Read analysis

Box Value Index -- top_30 #8

box_value_index_per36=24.133

games=171

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