PhD candidate David Radke, Professor Tim Brecht, and their colleague (and David’s brother) Daniel Radke have received the best research paper award at LINHAC 2022, the Linköping Hockey Analytics Conference held in Sweden.
In their paper, “Identifying completed pass types and improving passing lane models,” the research team developed a mathematical model that uses puck-and-player tracking data to classify different types of completed passes and to determine the availability of potential pass receivers using data from 198 National Hockey League games.
This new NHL puck-and-player tracking system, an analysis of the kinds of passes that can be extracted from it, and the model built to determine the size of passing lanes for completed direct and indirect passes have the promise to revolutionize hockey analytics, with implications for scouting, coaching, player development and fan engagement.
To learn more about the research featured in this article, please see David Radke, Tim Brecht, Daniel Radke. Identifying Completed Pass Types and Improving Passing Lane Models. Linköping Hockey Analytics Conference (LINHAC 2022), June 6–8, 2022, Linköping, Sweden.
Please also see the paper synposis at https://cs.uwaterloo.ca/~dtradke/linhac22_lp.html and David’s conference presentation video below.