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Paper #7PlannedNBA

NBA Schedule Fatigue Pricing: How Back-to-Backs and Travel Move ATS Win Rates

Quantifying the ATS impact of back-to-backs, three-in-fives, and cross-country travel across 3,708 graded NBA model picks with travel-miles and B2B flags.

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What's in the paper

  • ~15-20 page PDF, citation-ready
  • Full methodology, reproducible from any pick history with the same fields
  • Print-resolution charts (bucket analysis, cross-version scatter, regression face-off)
  • Robustness appendix — bootstrap CIs, sample-size convergence, version cross-validation
  • Glossary + references to academic literature

Data used

Every field that goes into the analysis. Open methodology — you can reproduce this paper from any pick history with these columns.

FieldTypeSourceWhat it means
pick_idBIGSERIALnba_predictions_backtestUnique pick identifier.
dateDATEnba_predictions_backtestGame date.
teamTEXTnba_predictions_backtestTeam selected by the model.
travel_milesNUMERIC(7,2)nba_predictions_backtestMiles team traveled since previous game (great-circle).
days_restINTderivedCalendar days since the team’s last game.
is_b2bBOOLEANnba_predictions_backtestTrue if this is the second night of a back-to-back.
is_three_in_fiveBOOLEANderivedTrue if the team is playing 3 games in 5 nights.
is_road_teamBOOLEANderivedTrue if the team is on the road for this game.
fatigue_cohortTEXTderivedBucket label: rested-home / b2b-road / etc. (paper-defining variable)
pick_oddsINTnba_predictions_backtestAmerican odds at entry.
closing_oddsINTodds_snapshots (JOIN)American odds at game start.
ats_outcomeTEXTderivedcover / no-cover / push relative to the closing spread.
units_returnedNUMERIC(7,3)nba_predictions_backtestNet units after grading.