Boosting save percentage…

Last night on twitter I posted some GF%RelTM statistics which resulted in a number of comments but notably some from Stephen Burtch about how players cannot be blamed for GF% and is nothing more than a fancy +/- stat and how players can’t be blamed or given credit for things such as save percentage. @hockeyanalysis @mlse Polak .910 on-ice sv% at 5v5 close past 4 years. Robidas .905 on-ice sv%. We should totally blame them. — Stephen Burtch (@SteveBurtch) September 26, 2014 .@hockeyanalysis @mlse Carl Gunnarsson had a .926 5v5 close on-ice sv% which was totally caused by his skill.

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Team Zone Entry Data and Predicting Standings

I am sure many of you are aware that Corey Sznajder (@ShutdownLine) has been working on tracking zone entries and exits for every game from last season. A week and a half ago Corey was nice enough to send me the data for every team for all the games he had tracked so far (I’d estimate approximately 60% of the season) and the past few days I have been looking at it. So, ultimately everything you read from here on is thanks to the time and effort Corey has put in tracking this data. As I have alluded to on

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Rush Shots and Defensive Zone Play of Maple Leaf Defensemen

The other day over at PensionPlanPuppets.com there was a post by Draglikepull looking at zone exits by Maple Leaf defensemen for the first half of last season. If you haven’t seen it yet, definitely go read it. I wanted to compare the zone exit data to my rush shot data which I have calculated from play by play data as explained here. If we can find good correlations between zone entry/exit data and my rush shot data that would be an excellent finding because the zone entry/exit data need to be manually recorded and is very time consuming. Thankfully this

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