AI for Hockey Analytics: Live Chat with Statsyuk

​For years, the kind of player tracking that fuels professional hockey analytics has been out of reach for almost everyone. It meant expensive multi-camera rigs, custom installations, and budgets only the top pro teams could justify. Every other team, from minor to junior to collegiate, was left charting games by hand or going without.

​In this live session, we will chat with Tanner Manett, Co-Founder and CTO at Statsyuk, and Evan Cohen, Co-Founder and CPO, about how they are changing that. Statsyuk turns standard game and practice footage into pro-level player tracking data. Tanner and Evan will share the problem they set out to solve and the computer vision that makes it possible.

​You will see how Statsyuk identifies every skater, goalie, and referee on the ice, tracks them frame by frame from a single moving camera, and turns raw video into shift-by-shift movement, position, and ice time. Along the way, Tanner and Evan will get into the vision work behind it, including the detection and tracking models they train and run on Roboflow, and how they keep player identities straight when the action gets crowded.