LA Clippers

Historical measurements from this snapshot.

Games covered: 240
Percentile rank 53 among 30 measured profiles
pct 53 of 30 measured
Pace proxy, latest season: 98.4
Percentile rank 10 among 30 measured profiles
pct 10 of 30 measured
Points per game, latest season: 113.6
Percentile rank 22 among 30 measured profiles
pct 22 of 30 measured
Seasons covered: 3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team: LA Clippers
Top contributor: James Harden
Top contributor minutes: 6820.8
Percentile rank 65 among 30 measured profiles
pct 65 of 30 measured
Top contributor PRA per 36 minutes: 35.9
Percentile rank 62 among 30 measured profiles
pct 62 of 30 measured

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

What stands out

6,820.8 minutes from a veteran guard is a heavy, sustained load.
The 35.9 PRA rate reflects a creation-first role, not a scoring-only one.
The team ran a 98.4 pace proxy, among the four slowest here, scoring 113.6 per game.

Reading note

The 'top contributor' is the player with the most total minutes for that team across the 3-season sample, not necessarily its best or highest-scoring player. PRA-per-36 sums points, rebounds, and assists per 36 minutes -- a raw box rate, not an impact metric. ppg_latest_season and pace_proxy_latest_season are single-season figures while games_total spans three seasons, and pace_proxy is a proxy, not official possession-based pace. The manifest is descriptive_only, with no schedule, opponent, or roster-continuity adjustment. League-wide rank statements were computed by sorting all 30 teams in this manifest on the named field; the underlying values are read verbatim.

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: Ivica Zubac (delta_winprob +0.4051); raw with/without: Brook Lopez (delta_win_rate +0.4038); agreement=False

on/off net rating delta +11.965; n_active=75, n_missed=7

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 IND mean_total 247.0 (n=5); lowest: vs ORL mean_total 207.83 (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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