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“Hand down, Man down.” Analysis of Defensive Adjustments in Response to the Hot Hand in Basketball Using Novel Defense Metrics

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  • Peter Csapo
  • Markus Raab

Abstract

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.

Suggested Citation

  • Peter Csapo & Markus Raab, 2014. "“Hand down, Man down.” Analysis of Defensive Adjustments in Response to the Hot Hand in Basketball Using Novel Defense Metrics," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-25, December.
  • Handle: RePEc:plo:pone00:0114184
    DOI: 10.1371/journal.pone.0114184
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    References listed on IDEAS

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    1. Gur Yaari & Shmuel Eisenmann, 2011. "The Hot (Invisible?) Hand: Can Time Sequence Patterns of Success/Failure in Sports Be Modeled as Repeated Random Independent Trials?," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-10, October.
    2. Arkes Jeremy, 2010. "Revisiting the Hot Hand Theory with Free Throw Data in a Multivariate Framework," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-12, January.
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    Cited by:

    1. Robert Lantis & Erik Nesson, 2021. "Hot Shots: An Analysis of the “Hot Hand†in NBA Field Goal and Free Throw Shooting," Journal of Sports Economics, , vol. 22(6), pages 639-677, August.
    2. Cotton, Christopher S. & McIntyre, Frank & Nordstrom, Ardyn & Price, Joseph, 2019. "Correcting for bias in hot hand analysis: An application to youth golf," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    3. Morgulev, Elia, 2023. "Streakiness is not a theory: On “momentums” (hot hands) and their underlying mechanisms," Journal of Economic Psychology, Elsevier, vol. 96(C).
    4. Elia Morgulev & Alisa Voslinsky & Ofer H. Azar & Michael Bar-Eli, 2020. "Biased perceptions about momentum: Do comeback teams have higher chances to win in basketball," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(4), pages 545-560, July.
    5. Maymin, Philip Z., 2019. "Wage against the machine: A generalized deep-learning market test of dataset value," International Journal of Forecasting, Elsevier, vol. 35(2), pages 776-782.
    6. repec:cup:judgdm:v:15:y:2020:i:4:p:545-560 is not listed on IDEAS

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