Towards a real-time possession value framework in ice hockey

Abstract

Measuring the individual performance of players is an important task in sports analytics. Traditional statistics-based approaches for evaluating hockey players fail to account for context and long-term impact. Recent advances in data gathering have enabled valuing possessions and actions directly to address these issues. This talk describes the implementation of the first real-time possession value framework for ice hockey.