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SFU researchers develop novel method for predicting hockey performance

A software program designed by two computing science researchers has proven successful in predicting player performance. When sport scouts look for young talent, they have to observe players across a number of games in order to assess their skills and techniques. However, it is not possible for the scouts to keep track of all games in the National Hockey League (NHL). SFU professor Oliver Schulte and Zeyu Zhao, an undergraduate alumnus, developed statistical machine-learning models to combat these challenges. The assessment system is able to capture the similarity in roles and styles of hockey players. “The overall objective of this…

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