Oklahoma City Thunder

Historical measurements from this snapshot.

Games covered: 245
Percentile rank 83 among 30 measured profiles
pct 83 of 30 measured
Pace proxy, latest season: 101.8
Percentile rank 45 among 30 measured profiles
pct 45 of 30 measured
Points per game, latest season: 119
Percentile rank 85 among 30 measured profiles
pct 85 of 30 measured
Seasons covered: 3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team: Oklahoma City Thunder
Top contributor: Shai Gilgeous-Alexander
Top contributor minutes: 7375.7
Percentile rank 82 among 30 measured profiles
pct 82 of 30 measured
Top contributor PRA per 36 minutes: 45.4
Percentile rank 92 among 30 measured profiles
pct 92 of 30 measured

Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.

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)

ORtg estimate withheld

The historical value is under review. Read the analysis for the published schedule counts and frequencies.

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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.

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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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