Identifying key factors in momentum in basketball games.

Tao Chen, Qingliang Fan, Kai Liu, Lingshan Le
Author Information
  1. Tao Chen: Department of Economics, University of Waterloo, Ontario, Canada.
  2. Qingliang Fan: Department of Economics, The Chinese University of Hong Kong, Hong Kong, People's Republic of China. ORCID
  3. Kai Liu: Big Data Research Lab, University of Waterloo, Ontario, Canada.
  4. Lingshan Le: School of Economics, Xiamen University, Xiamen, People's Republic of China.

Abstract

Momentum as elaborated under a recent novel definition has been shown quantitatively to have a significant impact on basketball game outcomes. This paper makes two contributions to the analytical literature on sports momentum: (1) two aspects of the new definition are operationalized so that its practicality becomes evident; and (2) through a dimension-reduction technique (elastic net), key factors associated with momentum are identified. Both technical variables such as field goals, assists, rebounds, etc. and environmental variables such as the spectator attendance rate and player salary dispersion are considered, and the potential for useful real-time analyzes is illustrated.

Keywords

References

J Appl Behav Anal. 1992 Fall;25(3):657-63 [PMID: 16795791]
J Stat Softw. 2010;33(1):1-22 [PMID: 20808728]
PLoS One. 2015 Jul 14;10(7):e0132894 [PMID: 26171606]

Word Cloud

Similar Articles

Cited By