Sports analytics and the big-data era

Elia Morgulev; Ofer H. Azar; Ronnie Lidor

doi:10.1007/s41060-017-0093-7

Sports analytics and the big-data era

Elia Morgulev, Ofer H. Azar, Ronnie Lidor

Department of Business Administration

Research output: Contribution to journal › Article › peer-review

98 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	213-222
Number of pages	10
Journal	International Journal of Data Science and Analytics
Volume	5
Issue number	4
DOIs	https://doi.org/10.1007/s41060-017-0093-7
State	Published - 1 Jun 2018

Keywords

Big data
Data analytics
Decision making
Economics
Psychology
Sports

ASJC Scopus subject areas

Information Systems
Modeling and Simulation
Computer Science Applications
Computational Theory and Mathematics
Applied Mathematics

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10.1007/s41060-017-0093-7

Cite this

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title = "Sports analytics and the big-data era",

abstract = "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{\textquoteright} decisions; and (c) analysis of the literature that uses sports data to address various questions in the fields of economics and psychology.",

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AB - 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.

KW - Big data

KW - Data analytics

KW - Decision making

KW - Economics

KW - Psychology

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Sports analytics and the big-data era

Abstract

Keywords

ASJC Scopus subject areas

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