Descriptive only — no edge claimed. These are measured team rates, not projections.
NBA teams · NBA · as of 2026-04-12
Boston Celtics
Descriptive card · conservative measured rates.
seasons covered
3
Higher than 50% of 30 in pack
games total
246
Higher than 93% of 30 in pack
ppg latest season
114.9
Higher than 37% of 30 in pack
pace proxy latest season
97.5
Higher than 2% of 30 in pack
top contributor
Derrick White
top contributor pra /36
27.4
Higher than 22% of 30 in pack
top contributor minutes
7576.2
Higher than 95% of 30 in pack
Bars show where this card sits within its own pack (30 nba teams), by simple rank of the measured value. Higher is only higher -- no quality judgement is implied.
What stands out
- Derrick White logs the most total minutes on the team (7,576.2), a reminder the minutes leader is not always the marquee name.
- His combined PRA-per-36 rate is 27.4.
- The team plays at a low 97.5 pace proxy while scoring 114.9 points per game in the latest season.
Reading note
The 'top contributor' is the player with the most total minutes for the team across the sample, not necessarily the best or highest-scoring player -- which is why a complementary starter can lead here. PRA-per-36 sums points, rebounds, and assists per 36 minutes and is a raw box rate, not an impact metric. ppg_latest_season is a single-season team average while the rest of the sample spans three seasons; pace_proxy is a proxy, not official possession-based pace. The manifest is descriptive_only with no schedule or opponent adjustment.
Also measured elsewhere
All 30 team cards carry these 3 joins.
Schedule Fatigue Tax (latest season)
-0.2751 pts/100 ORtg (2025-26)
b2b_freq=0.159, b2b_games=13, descriptive composite/36=-0.0501
per-36 deltas are raw pooled means, NOT roster/opponent/minutes/home-away adjusted.; the three density classes (b2b, 3in4, 4in6) OVERLAP and are NON-additive; this formula deliberately uses b2b alone -- summing b2b+3in4+4in6 would double-count congestion.; the -1.73 pts/100 anchor is a single-corpus CONFIRMED_LOCAL effect: a DESCRIPTIVE tax, not a forecast, and not re-tested here.; b2b_ortg_effect sign is normalized to a fatigue penalty (negative), matching the negative composite_per36 delta and the mechanism framing; the receipt labels its magnitude 'rested minus b2b'.
Load-Bearing Index (most-indispensable player)
Elo on/off: Luke Kornet (delta_winprob +0.2785); raw with/without: Neemias Queta (delta_win_rate +0.0842); agreement=False
on/off net rating delta +8.218; n_active=76, 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.
Highest/lowest scoring pairing (pooled 2023-24..2025-26)
highest: vs IND mean_total 238.08 (n=12); lowest: vs DEN mean_total 212.33 (n=6)
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
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