Descriptive only — these are measured per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Josh Giddey
Historical measurements from this snapshot.
Corpus measurements: 3 seasons in the snapshot, 203 games, 5,824 minutes; snapshot 2026-04-12
- Assists per 36 minutes, corpus seasons
- 8.5Percentile rank 97 among 482 measured profilespct 97 of 482 measured
- Field-goal percentage, corpus seasons
- 46.3%Percentile rank 56 among 482 measured profilespct 56 of 482 measured
- Three-point percentage, corpus seasons
- 36.1%Percentile rank 59 among 482 measured profilespct 59 of 482 measured
- Free-throw percentage, corpus seasons
- 77.8%Percentile rank 50 among 482 measured profilespct 50 of 482 measured
- Games played, corpus seasons
- 203Percentile rank 86 among 482 measured profilespct 86 of 482 measured
- Minutes played, corpus seasons
- 5824Percentile rank 86 among 482 measured profilespct 86 of 482 measured
- Points per 36 minutes, corpus seasons
- 18Percentile rank 72 among 482 measured profilespct 72 of 482 measured
- Rebounds per 36 minutes, corpus seasons
- 9.4Percentile rank 83 among 482 measured profilespct 83 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.
What stands out
- The rebound-plus-assist combination, 9.4 and 8.5 per 36, is the signature.
- Scoring is the third priority at 18 points per 36.
- 36.1 percent from three on 46.3 percent overall 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
CHI: active 0.3889 vs missed 0.3478 (delta +0.0411)
n_active=54, n_missed=23, ci95_offset=[-0.2341, 0.2341]
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.
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