"Hand down, man down." Analysis of defensive adjustments in response to the hot hand in basketball using novel defense metrics

Markus Raab

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

© 2014 Csapo, Raab. The hot-hand phenomenon, according to which a player's performance is significantly elevated during certain phases relative to the expected performance based on the player's base rate, has left many researchers and fans in basketball puzzled: The vast majority of players, coaches and fans believe in its existence but statistical evidence supporting this belief has been scarce. It has frequently been argued that the hot hand in basketball is unobservable because of strategic adjustments and defensive interference of the opposing team. We use a dataset with novel metrics, such as the number of defenders and the defensive intensity for each shot attempt, which enable us to directly measure defensive pressure. First, we examine how the shooting percentage of NBA players changes relative to the attributes of each metric. We find that it is of lesser importance by how many defenders a player is guarded but that defensive intensity, e.g., whether a defender raises his hand when his opponent shoots, has a larger impact on shot difficulty. Second, we explore how the underlying metrics and shooting accuracy change as a function of streak length. Our results indicate that defensive pressure and shot difficulty increase (decrease) during hot (cold) streaks, so that defenders seem to behave according to the hot-hand belief and try to force hot players into more difficult shots. However, we find that shooting percentages of presumably hot players do not increase and that shooting performance is not related to streakiness, so that the defenders' hot-hand behavior cannot be considered ecologically rational. Therefore, we are unable to find evidence in favor of the hot-hand effect even when accounting for defensive pressure.
Original languageEnglish
Pages (from-to)e114184-e114184
JournalPLoS ONE
DOIs
Publication statusPublished - 4 Dec 2014
Externally publishedYes

Keywords

  • Athletic Performance
  • Hand
  • Basketball
  • Behavior
  • Movement
  • Regression Analysis
  • Humans

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