Researchers at the University of Waterloo have harnessed the power of artificial intelligence (AI) to revolutionize the tracking and analysis of hockey data, particularly in professional games like the National Hockey League (NHL).
Traditionally, hockey analytics relied on manual video analysis, a laborious process prone to human error. However, with the AI tool developed by professors Dr. David Clausi and Dr. John Zelek, along with their team of researchers and graduate students, tracking player movements has become faster and more accurate than ever before.
Using deep learning techniques, the AI system can automatically track players, identify teams, and analyze player movements with impressive precision. In fact, the system boasts a 94.5% accuracy rate for tracking players correctly and 97% for identifying teams.
The potential applications of this AI tool extend beyond hockey. By retraining the system, it can be adapted for use in other team sports like soccer or field hockey. This innovation could transform how coaches develop game strategies, how scouts recruit players, and how statisticians identify opportunities to gain a competitive edge.
The research team’s findings have been published in the journal Expert Systems With Applications, demonstrating their commitment to advancing sports analytics through cutting-edge technology. This groundbreaking work has the capacity to reshape the landscape of sports business, offering newfound opportunities for teams and players alike.
