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

Dyson Daniels

Historical measurements from this snapshot.

Corpus measurements: 3 seasons in the snapshot, 208 games, 6,293.8 minutes; snapshot 2026-04-12

Assists per 36 minutes, corpus seasons
5.2
Percentile rank 78 among 482 measured profiles
pct 78 of 482 measured
Field-goal percentage, corpus seasons
49.5%
Percentile rank 76 among 482 measured profiles
pct 76 of 482 measured
Three-point percentage, corpus seasons
29.6%
Percentile rank 17 among 482 measured profiles
pct 17 of 482 measured
Free-throw percentage, corpus seasons
61.1%
Percentile rank 5 among 482 measured profiles
pct 5 of 482 measured
Games played, corpus seasons
208
Percentile rank 90 among 482 measured profiles
pct 90 of 482 measured
Minutes played, corpus seasons
6293.8
Percentile rank 91 among 482 measured profiles
pct 91 of 482 measured
Points per 36 minutes, corpus seasons
13
Percentile rank 30 among 482 measured profiles
pct 30 of 482 measured
Rebounds per 36 minutes, corpus seasons
6.7
Percentile rank 63 among 482 measured profiles
pct 63 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

  • 61.1 percent from the stripe is a genuine constraint on the offensive role.
  • The value shows up elsewhere: 6.7 rebounds and 5.2 assists per 36 from a guard.
  • Scoring stays low at 13 points per 36 on 29.6 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. This manifest has no defensive columns -- steals, deflections, and matchup data are simply absent, so nothing here speaks to the part of his game most often discussed.

Also measured elsewhere

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

Team win rate with/without this player
ATL: active 0.5789 vs missed 0.4000 (delta +0.1789)
n_active=76, n_missed=5, ci95_offset=[-0.4435, 0.4435]
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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