Descriptive only — no edge claimed. These are career per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Ja Morant
Descriptive card · conservative measured rates.
seasons played
3
Higher than 64% of 482 in pack
games
79
Higher than 14% of 482 in pack
minutes
2405
Higher than 38% of 482 in pack
PTS /36
26.6
Higher than 97% of 482 in pack
REB /36
4.8
Higher than 32% of 482 in pack
AST /36
9.0
Higher than 98% of 482 in pack
FG %
44.6
Higher than 41% of 482 in pack
3P %
29.0
Higher than 15% of 482 in pack
FT %
84.0
Higher than 80% of 482 in pack
Bars show where this card sits within its own pack (482 nba players), by simple rank of the measured value. Higher is only higher -- no quality judgement is implied.
What stands out
- A high 9.0 assists per 36 minutes anchors his playmaking, among the top guard rates in this pack.
- He scores at a 26.6-points-per-36 rate to go with the playmaking.
- Availability is the caveat: only 79 games and 2,405.0 minutes over the sample, the smallest game count here.
Reading note
Numbers are per-36-minute rates over a 3-season sample (seasons_played: 3), not per-game and not a full career; the manifest is descriptive_only, with no adjustment for opponent, teammates, role, or shot difficulty and a career_min_minutes>=800 inclusion floor. With only 79 games this rate line rests on the smallest sample in the pack, and three-point touch is a weak spot at 29.0 percent.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
MEM: active 0.3500 vs missed 0.5000 (delta -0.1500)
n_active=20, n_missed=22, ci95_offset=[-0.2956, 0.2956]
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 edge claim.
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