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Descriptive only — a measured pattern, no edge claimed.
Analytics module · as of

Novel Schedule Fatigue Tax

Most-taxed schedule: DEN 2025-26 (-0.38 pts/100 ORtg season-averaged); least: MEM 2025-26 (-0.27). League schedule-inequality range 0.11 pts/100 across 90 team-seasons.
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confirmednull (a finding)not testabledescriptivepending
Novel Schedule Fatigue Tax
Chart: Novel Schedule Fatigue Tax -- Most-taxed schedule: DEN 2025-26 (-0.38 pts/100 ORtg season-averaged); least: MEM 2025-26 (-0.27). League schedule-inequality range 0.11 pts/100 across 90 team-seasons.
scripts/platformkit/analytics_showcase/out/novel_schedule_fatigue_tax.json

Schedule Fatigue TaxSFT

Most-taxed schedule: DEN 2025-26 (-0.38 pts/100 ORtg season-averaged); least: MEM 2025-26 (-0.27). League schedule-inequality range 0.11 pts/100 across 90 team-seasons.

What it measures

Per team-season points tax from back-to-back congestion: its b2b frequency times the tested b2b performance penalty.

The formula
SFT_credible = b2b_freq * (-1.73 pts/100 ORtg); SFT_descriptive = b2b_freq * (-0.315 composite/36).
The results
teamseasonb2b gamesb2b freqsft descriptive composite per36sft credible pts per100 ortg
DEN2025-26170.218-0.0687-0.3771
ATL2024-25170.21-0.0662-0.3633
HOU2024-25170.21-0.0662-0.3633
GSW2023-24170.207-0.0652-0.3581
LAC2024-25170.207-0.0652-0.3581
SAS2024-25160.2-0.063-0.346
MIA2025-26150.2-0.063-0.346
POR2025-26150.2-0.063-0.346
MIL2024-25160.198-0.0624-0.3425
OKC2024-25160.198-0.0624-0.3425
CLE2024-25160.195-0.0614-0.3373
DEN2024-25160.195-0.0614-0.3373
NOP2024-25160.195-0.0614-0.3373
PHX2024-25160.195-0.0614-0.3373
SAC2024-25160.195-0.0614-0.3373
GSW2025-26160.195-0.0614-0.3373
PHX2025-26160.195-0.0614-0.3373
PHI2025-26140.187-0.0589-0.3235
MIA2024-25150.185-0.0583-0.3201
WAS2024-25150.185-0.0583-0.3201
CHA2025-26140.184-0.058-0.3183
LAC2025-26140.184-0.058-0.3183
ATL2023-24150.183-0.0576-0.3166
CHA2023-24150.183-0.0576-0.3166
CLE2023-24150.183-0.0576-0.3166
DET2023-24150.183-0.0576-0.3166
LAC2023-24150.183-0.0576-0.3166
LAL2023-24150.183-0.0576-0.3166
ORL2023-24150.183-0.0576-0.3166
SAC2023-24150.183-0.0576-0.3166
BKN2024-25150.183-0.0576-0.3166
CHA2024-25150.183-0.0576-0.3166
DET2024-25150.183-0.0576-0.3166
MEM2024-25150.183-0.0576-0.3166
NYK2024-25150.183-0.0576-0.3166
PHI2024-25150.183-0.0576-0.3166
TOR2024-25150.183-0.0576-0.3166
SAS2025-26150.183-0.0576-0.3166
UTA2025-26140.179-0.0564-0.3097
TOR2025-26130.178-0.0561-0.3079
CLE2025-26140.177-0.0558-0.3062
BKN2025-26130.176-0.0554-0.3045
WAS2025-26130.176-0.0554-0.3045
IND2024-25140.175-0.0551-0.3027
NOP2025-26130.173-0.0545-0.2993
SAC2025-26130.173-0.0545-0.2993
BKN2023-24140.171-0.0539-0.2958
BOS2023-24140.171-0.0539-0.2958
CHI2023-24140.171-0.0539-0.2958
DAL2023-24140.171-0.0539-0.2958
HOU2023-24140.171-0.0539-0.2958
MEM2023-24140.171-0.0539-0.2958
MIL2023-24140.171-0.0539-0.2958
OKC2023-24140.171-0.0539-0.2958
PHI2023-24140.171-0.0539-0.2958
PHX2023-24140.171-0.0539-0.2958
POR2023-24140.171-0.0539-0.2958
TOR2023-24140.171-0.0539-0.2958
GSW2024-25140.171-0.0539-0.2958
LAL2024-25140.171-0.0539-0.2958
MIN2024-25140.171-0.0539-0.2958
ORL2024-25140.171-0.0539-0.2958
UTA2024-25140.171-0.0539-0.2958
DAL2025-26130.171-0.0539-0.2958
HOU2025-26140.171-0.0539-0.2958
LAL2025-26140.171-0.0539-0.2958
OKC2025-26140.171-0.0539-0.2958
DET2025-26120.164-0.0517-0.2837
NYK2025-26130.163-0.0513-0.282
IND2025-26120.162-0.051-0.2803
MIN2025-26120.162-0.051-0.2803
ORL2025-26120.162-0.051-0.2803
MIL2025-26120.16-0.0504-0.2768
DEN2023-24130.159-0.0501-0.2751
IND2023-24130.159-0.0501-0.2751
MIA2023-24130.159-0.0501-0.2751
MIN2023-24130.159-0.0501-0.2751
NOP2023-24130.159-0.0501-0.2751
NYK2023-24130.159-0.0501-0.2751
SAS2023-24130.159-0.0501-0.2751
UTA2023-24130.159-0.0501-0.2751
WAS2023-24130.159-0.0501-0.2751
BOS2024-25130.159-0.0501-0.2751
CHI2024-25130.159-0.0501-0.2751
DAL2024-25130.159-0.0501-0.2751
POR2024-25130.159-0.0501-0.2751
BOS2025-26130.159-0.0501-0.2751
ATL2025-26120.158-0.0498-0.2733
CHI2025-26120.158-0.0498-0.2733
MEM2025-26120.156-0.0491-0.2699
Prior art
INCREMENTAL

We searched for prior work before claiming anything. Here is what exists:

The b2b fatigue effect is heavily documented (3-5% scoring drop / 1-3 pts / ~44% win rate / 2-4 pt spread adjust; academic 'Basketball performance affected by schedule congestion', ResearchGate 339933590). CITE the effect as prior art. The per-team-season aggregation into a points 'tax' plus a league schedule-inequality spread, anchored to the repo's own tested b2b_rest_penalty receipt, is the fresh packaging -- the effect is not new.

Declared confounds
  • 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'.
scripts/platformkit/analytics_showcase/out/schedule_density.json
edge_claimed: false · descriptive_only
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