League wide univariate analysis isn’t very sexy, which is why you rarely see it used in the hockey blogosphere. Still, the information is necessary in better understanding what we are describing and adding context. It is also useful for looking back at whenever a variable may not impact or work in a model as you initially hypothesize.
I gathered all player season data for each full (excluding lockout) season available in the “Behind the Net era”, filtering only forwards with 100 or more minutes. These seasons were combined into one massive sample of 2368 player seasons. Continue reading