The game insight group: A model for academic-industry partnerships for sports statistics innovation. Issue Volume 31:Issues 1(2019) (2nd January 2019)

• Record Type: Journal Article
• Authors: Kovalchik, Stephanie; Reid, Machar
• Is Part Of: Quality engineering. Volume 31:Issues 1(2019)
• Page Start: 23
• Page End: 38
• Publication Date: 2019-01-02
• Subjects: Bayesian methods -- process improvement -- statistical decision making -- statistical modeling -- statistical thinking; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2018.1519578
• Languages: English
• ISSNs: 0898-2112

Abstract

Abstract: In the Moneyball-era of sports, the adoption of statistical innovation has spread throughout the sports industry. Little has been written about the strategies of adoption, but anecdotal evidence suggests that the "silo" has been the predominate model. This article provides one of the first descriptions of a strategy for statistical innovation in sports: the Game Insight Group (GIG). The article details the unique academic-industry partnership that is GIG. The framework shows that building a bridge between academia and the sports industry is feasible and can be an effective approach for the practical translation of statistical research in sports.