My infatuation (some say obsession) with hockey began during my undergrad in the city of Chicago. I was fortunate enough to see the Blackhawks win the Stanley Cup when I was in Chicago not once, but TWICE! As I have grown to appreciate and love hockey, I found another outlet to further submerse myself in the sport — statistics! A few ideas I have played around with have been the power play, face-offs, potential trends across time, and seeing if there is anything that can predict the likelihood of a Stanley Cup victory!

Doors closing… Welcome to the Blue Line.


Multilevel Modeling in R with NHL Power Play Data

February 11, 2018 Academic Hockey Analytics R

This post serves as both a tutorial on how to perform multilevel modeling in R and an analysis that provides insight to how powerplay goals in the NHL have changed across 10 years. Readers will learn how to explore data using plots, use R to fit linear models, and how to extract inferences from the results.

The Last Decade: NHL’s Best and Worst Power Play Teams

May 15, 2017 Hockey Analytics R

So you are watching your favorite NHL team and they finally draw a powerplay. Awesome! The ice opens up with the missing player and it shouldn’t be too hard to score…right? As a previous water polo player, I know what it is like to endure the wrath of a furious coach after a missed man advantage opportunity. In my experience, coaches semed convinced that the man-up should lead to a goal 100% of the time. But how important is this seemingly advantageous situation in the NHL?…