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The Data Behind Hockey Analytics

In this introduction to hockey analytics, we present an overview of definitions, computational methods, and statistical analysis needed to analyze large scale data in hockey. These tools were used to construct a sample application to predict the performance of junior, college, and NHL players.

We encourage you to submit your questions before the event. There will be opportunity to ask questions live, but we likely will not have time to cover all of them - the best way to get your questions answered is to submit them in advance! Please make sure to submit your questions via email to Sara Ford at fordsar2@msu.edu by 4 PM the day before the event.

Nov 18, 2020 02:00 PM in Eastern Time (US and Canada)