The game insight group: A model for academic-industry partnerships for sports statistics innovation

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.