The University of Waterloo researchers are using artificial intelligence (AI) tools to revolutionize the way data is captured and analyzed from professional hockey games. This advancement has big implications for the sports industry and the field of hockey analytics.
How AI is Changing Hockey Analytics
Currently, manual analysis of video footage from games is the norm in the hockey analytics field. This data is crucial for professional hockey teams, especially in making decisions about players’ careers. However, this process can be time-consuming and prone to errors.
The AI tool developed by Dr. David Clausi, Dr. John Zelek, and their team uses deep learning techniques to automate and improve player tracking analysis. This tool can track players accurately and identify teams and individual players with impressive precision.
The Impact of AI on the Business of Sports
Partnering with Stathletes, a professional hockey data and analytics company, the research team has already started applying their AI system to annotate video footage of hockey games. This system has the potential to be commercialized and used in other team sports like soccer or field hockey.
With the ability to generate valuable data for coaches, team scouts, and statisticians, this AI system has the power to transform how sports teams operate. It can help in crafting winning strategies, scouting for talented players, and identifying ways to gain a competitive edge on the field or rink.