Sports analytics and the big-data era

Elia Morgulev, Ofer H. Azar, Ronnie Lidor

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


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 languageEnglish
Pages (from-to)213-222
Number of pages10
JournalInternational Journal of Data Science and Analytics
Issue number4
StatePublished - 1 Jun 2018


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


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