Descriptive only — no edge claimed. These are measured team rates, not projections.
NBA teams · NBA · as of 2026-04-12
Brooklyn Nets
Descriptive card · conservative measured rates.
seasons covered
3
Higher than 50% of 30 in pack
games total
238
Higher than 22% of 30 in pack
ppg latest season
106.2
Higher than 2% of 30 in pack
pace proxy latest season
99.5
Higher than 18% of 30 in pack
top contributor
Nic Claxton
top contributor pra /36
28.2
Higher than 25% of 30 in pack
top contributor minutes
5845.9
Higher than 25% 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
- 106.2 points per game is the bottom of the league in this sample.
- The pace proxy, 99.5, is on the slow side but not extreme -- the shortfall is not purely tempo.
- Nic Claxton led the roster in minutes at 5,845.9 with a 28.2 PRA-per-36 rate.
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)
-0.3045 pts/100 ORtg (2025-26)
b2b_freq=0.176, b2b_games=13, descriptive composite/36=-0.0554
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: Day'Ron Sharpe (delta_winprob +0.2669); raw with/without: Ochai Agbaji (delta_win_rate +0.2000); agreement=False
on/off net rating delta +14.902; n_active=20, n_missed=6
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 DEN mean_total 238.0 (n=6); lowest: vs MIN mean_total 207.33 (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