Descriptive only — no edge claimed. These are career per-36 rates, not projections.
NBA players · NBA · as of 2026-04-12
Jonathan Isaac
Descriptive card · conservative measured rates.
seasons played
3
Higher than 64% of 482 in pack
games
179
Higher than 70% of 482 in pack
minutes
2524.6
Higher than 40% of 482 in pack
PTS /36
12.9
Higher than 29% of 482 in pack
REB /36
10.1
Higher than 87% of 482 in pack
AST /36
1.3
Higher than 2% of 482 in pack
FG %
45.3
Higher than 48% of 482 in pack
3P %
29.2
Higher than 16% of 482 in pack
FT %
67.6
Higher than 12% 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.
Also measured elsewhere
Joined onto 330 of 482 player cards; the leaderboard badges cover far fewer.
Team win rate with/without this player
ORL: active 0.5577 vs missed 0.6154 (delta -0.0577)
n_active=52, n_missed=13, ci95_offset=[-0.2969, 0.2969]
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.
Form curve mover -- top_movers_fallers #9
delta=-8.425
n_qual_games=155
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)