Descriptive only — no edge claimed. These are measured team rates, not projections.
NBA teams · NBA · as of 2026-04-12
Oklahoma City Thunder
Descriptive card · conservative measured rates.
seasons covered
3
Higher than 50% of 30 in pack
games total
245
Higher than 83% of 30 in pack
ppg latest season
119
Higher than 85% of 30 in pack
pace proxy latest season
101.8
Higher than 45% of 30 in pack
top contributor
Shai Gilgeous-Alexander
top contributor pra /36
45.4
Higher than 92% of 30 in pack
top contributor minutes
7375.7
Higher than 82% of 30 in pack
Bars show where this card sits within its own pack (30 nba teams), by simple rank of the measured value. Higher is only higher -- no quality judgement is implied.
What stands out
- SGA's 45.4 combined PRA-per-36 is among the highest top-contributor rates in the sample.
- He is also the team's minutes leader at 7,375.7 total minutes.
- The team scored 119.0 points per game in the latest season of the sample.
Reading note
The 'top contributor' is the player with the most total minutes for the team, which for Oklahoma City coincides with its lead star. PRA-per-36 sums points, rebounds, and assists per 36 minutes and is a raw box rate, not an impact metric. ppg_latest_season is a single-season team average while the rest of the sample spans three seasons; pace_proxy is a proxy, not official possession-based pace. The manifest is descriptive_only with no schedule or opponent adjustment.
Also measured elsewhere
All 30 team cards carry these 3 joins.
Schedule Fatigue Tax (latest season)
-0.2958 pts/100 ORtg (2025-26)
b2b_freq=0.171, b2b_games=14, descriptive composite/36=-0.0539
per-36 deltas are raw pooled means, NOT roster/opponent/minutes/home-away adjusted.; the three density classes (b2b, 3in4, 4in6) OVERLAP and are NON-additive; this formula deliberately uses b2b alone -- summing b2b+3in4+4in6 would double-count congestion.; the -1.73 pts/100 anchor is a single-corpus CONFIRMED_LOCAL effect: a DESCRIPTIVE tax, not a forecast, and not re-tested here.; b2b_ortg_effect sign is normalized to a fatigue penalty (negative), matching the negative composite_per36 delta and the mechanism framing; the receipt labels its magnitude 'rested minus b2b'.
Load-Bearing Index (most-indispensable player)
Elo on/off: Shai Gilgeous-Alexander (delta_winprob +0.5171); raw with/without: Ajay Mitchell (delta_win_rate +0.2685); agreement=False
on/off net rating delta +15.763; n_active=57, n_missed=23
both estimators carry the ROSTER CONFOUND both source files label explicitly: why a player missed is entangled with injury clustering, rest, blowout pulls, and replacement lineup -- none controlled. NOT a causal player-impact estimate.; the feeds cover DIFFERENT seasons (Elo on/off = 2024-25; raw with/without = 2025-26), so agreement is DIRECTIONAL corroboration, not a paired estimate.; estimator (a) is win prob vs a league-average opponent on a neutral floor; estimator (b) is raw team win-rate active-vs-missed. The two axes are related but not the same scale.; Per team, the win-prob dependence on its single most-indispensable player, under two independent estimators, with a cross-method agreement flag.
Highest/lowest scoring pairing (pooled 2023-24..2025-26)
highest: vs ATL mean_total 249.0 (n=6); lowest: vs ORL mean_total 214.17 (n=6)
NOT a prediction of any future matchup (describes games already played); NOT a home/away split (per-player table carries no venue flag); NOT opponent-adjusted / strength-of-schedule (raw pooled means only); pairing reported only where n_meetings >= 2
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