In this article, we'll show results for more goalies than just Luongo. I haven’t really heard much analysis of the goaltending situation in the Vancouver (joke). I’ve felt burdened by this obvious need that the hockey world has (joke), so I thought I’d start with a little statistical analysis of Roberto Luongo and Cory Schneider (not meant to be a joke, though you may disagree after reading this). Really, I just want to use them as an example to help illustrate this approach to analyzing goalies.
One of the things we noticed in Part 3 is that there is some regression to the mean going on. Luongo's Bayesian estimate was always between his observed ESSV% and the league average ESSV%. Let's start with a figure that shows that this "regression to the mean" happens for all goalies.