Sacramento Kings

Historical measurements from this snapshot.

Games covered: 239
Percentile rank 38 among 30 measured profiles
pct 38 of 30 measured
Pace proxy, latest season: 101.5
Percentile rank 38 among 30 measured profiles
pct 38 of 30 measured
Points per game, latest season: 110.9
Percentile rank 8 among 30 measured profiles
pct 8 of 30 measured
Seasons covered: 3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team: Sacramento Kings
Top contributor: Keegan Murray
Top contributor minutes: 5996.7
Percentile rank 32 among 30 measured profiles
pct 32 of 30 measured
Top contributor PRA per 36 minutes: 22.6
Percentile rank 8 among 30 measured profiles
pct 8 of 30 measured

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

What stands out

110.9 points per game on a middling 101.5 pace proxy.
Keegan Murray led the team with 5,996.7 minutes.
His 22.6 PRA per 36 is one of the two lowest top-contributor rates in the league here.

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.

Read analysis

Load-Bearing Index (most-indispensable player)

Elo on/off: Domantas Sabonis (delta_winprob +0.2249); raw with/without: Maxime Raynaud (delta_win_rate +0.1588); agreement=False

on/off net rating delta +6.611; n_active=74, n_missed=8

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.

Read analysis

Highest/lowest scoring pairing (pooled 2023-24..2025-26)

highest: vs DET mean_total 247.17 (n=6); lowest: vs LAC mean_total 217.45 (n=11)

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

Read analysis