Literature DB >> 35707253

Identifying key factors in momentum in basketball games.

Tao Chen1,2,3, Qingliang Fan4, Kai Liu2,5, Lingshan Le6.   

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.
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Entities:  

Keywords:  62-07; 62P99; Basketball; Gini coefficient; attendance rate; elastic net; momentum

Year:  2020        PMID: 35707253      PMCID: PMC9041568          DOI: 10.1080/02664763.2020.1795819

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


  3 in total

1.  Behavioral momentum in college basketball.

Authors:  F C Mace; J S Lalli
Journal:  J Appl Behav Anal       Date:  1992

2.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

3.  Exploring Game Performance in the National Basketball Association Using Player Tracking Data.

Authors:  Jaime Sampaio; Tim McGarry; Julio Calleja-González; Sergio Jiménez Sáiz; Xavi Schelling I Del Alcázar; Mindaugas Balciunas
Journal:  PLoS One       Date:  2015-07-14       Impact factor: 3.240

  3 in total

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