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Paper #5PlannedNBA

NBA Playoff Rotation Compression: How Coach Decisions Move Player-Prop Markets

Quantifying how coaches shorten benches in the playoffs — and which prop markets mis-price the resulting minutes inflation.

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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
game_idTEXTnba_game_historyNBA game identifier.
dateDATEnba_game_historyGame date.
season_phaseTEXTnba_game_historyregular | playoffs | play-in.
series_stageTEXTderivedFor playoff games: round + game number (e.g. R1G3, ECF G7).
teamTEXTnba_game_historyThe team a player belongs to in this row.
player_idTEXTnba_player_boxNBA Stats player identifier.
minutes_playedNUMERIC(4,1)nba_player_boxActual minutes played in this game.
reg_season_avg_minutesNUMERIC(4,1)derivedPlayer’s regular-season minute average for this team.
minutes_inflationNUMERIC(4,1)derivedminutes_played − reg_season_avg_minutes. Cohort-defining variable.
ptsINTnba_player_boxPoints scored in this game (graded outcome for points props).
rebINTnba_player_boxRebounds in this game.
astINTnba_player_boxAssists in this game.
prop_market_lineNUMERIC(5,1)odds_snapshotsPosted prop line (points / rebounds / assists) at game start.
prop_over_oddsINTodds_snapshotsAmerican odds on the over at close.
prop_under_oddsINTodds_snapshotsAmerican odds on the under at close.