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

Detroit Pistons

Historical measurements from this snapshot.
Games covered
237
Percentile rank 8 among 30 measured profiles
pct 8 of 30 measured
Pace proxy, latest season
102.5
Percentile rank 57 among 30 measured profiles
pct 57 of 30 measured
Points per game, latest season
117.4
Percentile rank 75 among 30 measured profiles
pct 75 of 30 measured
Seasons covered
3
Percentile rank 50 among 30 measured profiles
pct 50 of 30 measured
Team
Detroit Pistons
Top contributor
Cade Cunningham
Top contributor minutes
6622.9
Percentile rank 52 among 30 measured profiles
pct 52 of 30 measured
Top contributor PRA per 36 minutes
40.6
Percentile rank 88 among 30 measured profiles
pct 88 of 30 measured
Stored percentiles rank measured rows in this published pack; higher is only higher, not a quality judgement.

What stands out

  • 40.6 combined points, rebounds and assists per 36 minutes is a full-engine workload.
  • He carried it over 6,622.9 minutes, so it is not a small-sample rate.
  • The team scored 117.4 per game in the latest season.
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: Tobias Harris (delta_winprob +0.1447); raw with/without: Duncan Robinson (delta_win_rate +0.3532); agreement=False
on/off net rating delta +4.139; n_active=77, n_missed=5
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 UTA mean_total 249.0 (n=6); lowest: vs CHA mean_total 213.0 (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