Sports analytics and the big-data era

被引：71

作者：

Morgulev E. ^{[1
,2
]}

Azar O.H. ^{[1
]}

Lidor R. ^{[2
]}

机构：

[1] Department of Business Administration, Guilford Glazer Faculty of Business and Management, Ben-Gurion University of the Negev, Beer-Sheva

[2] The Academic College at Wingate, Wingate Institute, Netanya

来源：

International Journal of Data Science and Analytics | 2018年 / 5卷 / 04期

关键词：

Big data; Data analytics; Decision making; Economics; Psychology; Sports;

D O I：

10.1007/s41060-017-0093-7

中图分类号：

学科分类号：

摘要：

The explosion of data, with large datasets that are available for analysis, has affected virtually every aspect of our lives. The sports industry has not been immune to these developments. In this article, we provide examples of three types of data-driven analyses that have been performed in the domain of sport: (a) field-level analysis focused on the behavior of athletes, coaches, and referees; (b) analysis of management and policymakers’ decisions; and (c) analysis of the literature that uses sports data to address various questions in the fields of economics and psychology. © 2018, Springer International Publishing AG, part of Springer Nature.

引用

页码：213 / 222

页数：9

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