NBA Comeback Clutchness. Sandy Huang Toa Lohe

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Transcription:

NBA Comeback Clutchness Sandy Huang Toa Lohe

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

INTRODUCTION

DEFINITION OF COMEBACK CLUTCHNESS 1) Last 5 minutes of the 4 th quarter or overtime 2) Player s team is behind by at most 5 points or tied but not ahead

DEFINITION OF COMEBACK CLUTCHNESS 1) Last 5 minutes of the 4 th quarter or overtime 2) Player s team is behind by at most 5 points or tied but not ahead In contrast, escape clutchness is defined as: 1) Last 5 minutes of the 4 th quarter or overtime 2) Player s team is ahead by at most 5 points or tied but not behind The inclusion of ties in both is because the NBA does not exclusively track non-ties (i.e. they do not track ahead only or behind only)

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

PREVIOUS WORK http://www.82games.com/clutchplayers.htm http://www.82games.com/clutchplay2.htm http://www.82games.com/clutchplay3.htm http://www.libertyballers.com/2012/2/29/2832299/lebron-jameskobe-bryant-dwyane-wade-clutch-nba-playoffs-4th-quarter No previous study has specifically studied comeback clutchness

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

METHODOLOGY

METHODOLOGY

METHODOLOGY

METHODOLOGY Win Shares = Offensive Win Shares + Defensive Win Shares

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2015-2016 2014-2015

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2013-2014 2012-2013

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2011-2012 2010-2011

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2009-2010 2008-2009

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2007-2008 2006-2007

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2005-2006 2004-2005

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2003-2004 2002-2003

COMEBACK CLUTCHNESS MVPS Season Win Shares Per 48 Net Rating PIE 2001-2002

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

VALUE OF COMEBACK CLUTCHNESS Rank by Differential Player Comeback Clutchness Win Shares Per 48 Regular Win Shares Per 48 Differential 1 Andre Drummond 1.10 0.13 0.97 2 Draymond Green 1.06 0.19 0.87 3 Klay Thompson 0.90 0.14 0.76 4 Stephen Curry 1.06 0.32 0.74 5 Dirk Nowitzki 0.87 0.14 0.73 6 Deron Williams 0.79 0.08 0.71 7 Chandler Parsons 0.78 0.11 0.67 8 Jeff Green 0.70 0.07 0.63 9 LeBron James 0.85 0.24 0.61 10 Jeremy Lin 0.68 0.08 0.60

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

COMEBACK VS. ESCAPE CLUTCHNESS WS/48 F-Test Two-Sample for Variances Ahead Behind Mean 0.399744153 0.314479098 Variance 0.116108959 0.115400413 Observations 1630 1630 df 1629 1629 F 1.006139892 P(F<=f) one-tail 0.450852491 F Critical one-tail 1.084946995 F < F Critical one-tail so assume equal variance (note though: p-value > 0.05) t-test: Two-Sample Assuming Equal Variances Ahead Behind Mean 0.399744153 0.314479098 Variance 0.116108959 0.115400413 Observations 1630 1630 Pooled Variance 0.115754686 Hypothesized Mean Difference 0 df 3258 t Stat 7.154521473 P(T<=t) one-tail 5.16225E-13 t Critical one-tail 1.645321462 P(T<=t) two-tail 1.03245E-12 t Critical two-tail 1.960692388 t >> t Critical two-tail so significantly different (note: p-value << 0.05)

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

CLUTCH (BEHIND) VS. REGULAR WS/48 F-Test Two-Sample for Variances Behind Regular Mean 0.283649742 0.11589044 Variance 0.120707021 0.002725993 Observations 1862 1862 df 1861 1861 F 44.28001294 P(F<=f) one-tail 0 F Critical one-tail 1.079261758 t-test: Two-Sample Assuming Unequal Variances Behind Regular Mean 0.283649742 0.11589044 Variance 0.120707021 0.002725993 Observations 1862 1862 Hypothesized Mean Difference 0 df 1945 t Stat 20.60443832 P(T<=t) one-tail 8.74521E-86 t Critical one-tail 1.645637431 P(T<=t) two-tail 1.74904E-85 t Critical two-tail 1.961184408 F >> F Critical one-tail so unequal variance (note: p-value << 0.05) t >> t Critical two-tail so significantly different (note: p-value << 0.05)

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

YTY CORRELATION OF WS/48 R-Squared = 0.02 (no correlation)

YTY CORRELATION OF WS/48 DIFFERENTIAL R-Squared = 0.01 (no correlation)

OUTLINE Introduction Previous Work Methodology Comeback Clutchness MVPs Value of Comeback Clutchness Comeback Clutchness vs. Escape Clutchness Clutch vs. Regular Performance Repeatable Skill or Noise? Conclusion

CONCLUSION Comeback clutchness is just noise (i.e. rarely repeatable) significantly different from regular season performance significantly different from escape clutchness more valuable when the player s team has middle-of-the-road talent fun to think about Many limitations on the data set but future work could focus on adjusted plus-minus (pending play-by-play data scraping) PIE (gives more intuitive results but does not adjust for pace)