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Descriptive only — these are measured team rates, not projections.
NBA teams · NBA · as of 2026-04-12

Cleveland Cavaliers

Historical measurements from this snapshot.
Games covered
243
Percentile rank 72 among 30 measured profiles
pct 72 of 30 measured
Pace proxy, latest season
102.1
Percentile rank 52 among 30 measured profiles
pct 52 of 30 measured
Points per game, latest season
119.6
Percentile rank 88 among 30 measured profiles
pct 88 of 30 measured
Seasons covered
3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team
Cleveland Cavaliers
Top contributor
Donovan Mitchell
Top contributor minutes
6482.5
Percentile rank 45 among 30 measured profiles
pct 45 of 30 measured
Top contributor PRA per 36 minutes
39.3
Percentile rank 82 among 30 measured profiles
pct 82 of 30 measured
Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.

What stands out

  • 119.6 points per game ranks fourth league-wide here.
  • It came on a middling 102.1 pace proxy, so the scoring is not a tempo artifact.
  • Donovan Mitchell led in minutes (6,482.5) at 39.3 PRA per 36.
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: Isaac Okoro (delta_winprob +0.3030); raw with/without: Sam Merrill (delta_win_rate +0.2115); agreement=False
on/off net rating delta +8.728; n_active=52, n_missed=28
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 SAC mean_total 245.33 (n=6); lowest: vs BKN mean_total 217.18 (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