Python in the NHL Front Office

Advancements in statistical analysis have recently emerged in professional hockey as a way for teams to improve their performance, player development, and decision making. Working at the forefront of this analytics revolution, from the blogosphere to the National Hockey League, Josh will discuss the ways he uses Python to process data and solve problems to guide decision makers in all facets of front office activities.

About Josh Weissbock


Josh Weissbock works in the federal government by day in Victoria BC. He has been involved in hockey analytics for the past half decade from his early days of public researching in the hockey analytics blogosphere and He has studied hockey analytics in the context of applications for Machine Learning at the University of Ottawa and is now applying his trade with the Florida Panthers in the National Hockey league.