Descriptive only — no edge claimed. These are measured team rates, not projections.
NBA teams · NBA · as of 2026-04-12
Golden State Warriors
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
114.6
Higher than 32% of 30 in pack
pace proxy latest season
101.7
Higher than 42% of 30 in pack
top contributor
Brandin Podziemski
top contributor pra /36
27.1
Higher than 18% of 30 in pack
top contributor minutes
6018.4
Higher than 35% 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
- Brandin Podziemski leads the team in total minutes at 6,018.4, so the minutes-based 'top contributor' is a young wing, not the franchise star.
- His combined PRA-per-36 rate is 27.1.
- The team scored 114.6 points per game in the latest season at a 101.7 pace proxy.
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 -- so a high-minutes role player can outrank a star with heavier per-game impact but fewer minutes. 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)
-0.3373 pts/100 ORtg (2025-26)
b2b_freq=0.195, b2b_games=16, descriptive composite/36=-0.0614
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: Gui Santos (delta_winprob +0.2378); raw with/without: Moses Moody (delta_win_rate +0.3000); agreement=False
on/off net rating delta +6.653; n_active=60, n_missed=10
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 CHI mean_total 244.33 (n=6); lowest: vs MIA mean_total 214.0 (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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