Indiana Pacers

Historical measurements from this snapshot.

Games covered: 236
Percentile rank 2 among 30 measured profiles
pct 2 of 30 measured
Pace proxy, latest season: 102.8
Percentile rank 68 among 30 measured profiles
pct 68 of 30 measured
Points per game, latest season: 111.8
Percentile rank 12 among 30 measured profiles
pct 12 of 30 measured
Seasons covered: 3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team: Indiana Pacers
Top contributor: Pascal Siakam
Top contributor minutes: 5731.6
Percentile rank 15 among 30 measured profiles
pct 15 of 30 measured
Top contributor PRA per 36 minutes: 35.5
Percentile rank 58 among 30 measured profiles
pct 58 of 30 measured

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

What stands out

111.8 points per game is near the bottom of this manifest, and tempo is not the explanation.
Pascal Siakam led the roster in minutes at 5,731.6.
His 35.5 PRA-per-36 rate is a primary-option line.

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: Pascal Siakam (delta_winprob +0.3872); raw with/without: Pascal Siakam (delta_win_rate +0.2075); agreement=True

on/off net rating delta +11.457; n_active=62, n_missed=15

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 ATL mean_total 255.7 (n=10); lowest: vs BKN mean_total 216.33 (n=9)

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