Descriptive only — no edge claimed. These are measured team rates, not projections.

NBA teams · NBA · as of 2026-04-12

Charlotte Hornets

Descriptive card · conservative measured rates.

seasons covered

Higher than 50% of 30 in pack

games total

240

Higher than 53% of 30 in pack

ppg latest season

116.1

Higher than 65% of 30 in pack

pace proxy latest season

100.3

Higher than 28% of 30 in pack

top contributor

Miles Bridges

top contributor pra /36

32.0

Higher than 38% of 30 in pack

top contributor minutes

6838.9

Higher than 68% 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

6,838.9 minutes from one player is a heavy single-player concentration.
The production rate attached to it is 32 points, rebounds and assists per 36.
Team scoring sat at 116.1 points per game in the latest season on a 100.3 pace proxy.

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)

-0.3183 pts/100 ORtg (2025-26)

b2b_freq=0.184, b2b_games=14, descriptive composite/36=-0.0580

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: Moussa Diabaté (delta_winprob +0.1505); raw with/without: Brandon Miller (delta_win_rate +0.4543); agreement=False

on/off net rating delta +7.990; n_active=65, n_missed=17

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 SAS mean_total 237.33 (n=6); lowest: vs POR mean_total 197.0 (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