Toronto Raptors

Historical measurements from this snapshot.

Games covered: 237
Percentile rank 8 among 30 measured profiles
pct 8 of 30 measured
Pace proxy, latest season: 100.8
Percentile rank 32 among 30 measured profiles
pct 32 of 30 measured
Points per game, latest season: 113.7
Percentile rank 25 among 30 measured profiles
pct 25 of 30 measured
Seasons covered: 3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team: Toronto Raptors
Top contributor: Scottie Barnes
Top contributor minutes: 6640
Percentile rank 55 among 30 measured profiles
pct 55 of 30 measured
Top contributor PRA per 36 minutes: 34.9
Percentile rank 45 among 30 measured profiles
pct 45 of 30 measured

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

What stands out

6,640 minutes, a full three-season workload with no interruption large enough to change the leader.
34.9 combined points, rebounds and assists per 36 minutes.
The team scored 113.7 per game on a 100.8 pace proxy.

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.

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: Jakob Poeltl (delta_winprob +0.2093); raw with/without: Immanuel Quickley (delta_win_rate +0.1690); agreement=False

on/off net rating delta +7.751; n_active=70, n_missed=12

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 DAL mean_total 242.5 (n=6); lowest: vs BKN mean_total 211.45 (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