Schenn, Jones, Weber and Sv%RelTM

I get criticized a bit (I might even say mocked) for suggesting that defensemen have the ability to influence their goalies save percentages. It surprises me some because to me the idea that defenders can’t is just a bit far fetched. A defender that turns the puck over a lot at key moments has to have a negative impact on his goalies save percentage. Conversely one who doesn’t would boost his goalies save percentage. Unfortunately we live in a Corsi world these days and these ideas get criticized, if not mocked. Today though saw the trade of a pair of defensemen

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My hope for Hockey Analytics in 2016

The last couple of years have been eventful for the hockey analytics community and hockey analytics has definitely gone main stream. The past year or so has seen some interesting developments including more investigation into shot quality (Scoring Chances by war on ice, expected goals from @DTMAboutHeart, etc.) , some interesting enhancements in goalie evaluation, and the passing project led by Ryan Stimson has shown some interesting results and could provide many more interesting insights into the game. All that said there is one area where I hope will get more attention from the analytics community in 2016.   Impact of Coaching and

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Forward Usage and Stats by TOI Rank on Team

The other day I posted an article on evaluating defensemen by their ranking on their team. In this article I am going to do the same but for forwards and focus on the offensive side of the game. I grouped forwards in a similar way to how I grouped defensemen. Specifically, this is my methodology: I used 5v5close data to eliminate score effects I used data from the first two thirds of the season (first 820 games of the season) because few trades occurred before that point in the season. Trades can mess up rankings of players and how do

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More on Evaluating Defense by Rank on Team

The other day I wrote a post on evaluating forwards and defensemen based on their rank on their team. The purpose of that post is to show the value in breaking down performance beyond just Corsi but into Corsi For/Against and shooting and save percentages. I wanted to expand on that by looking at past seasons to see if there are trends that emerge. In the previous post I ranked players on their team based on their total ice time because that is what Travis Yost did in his post on TSN.ca. I don’t believe this is the best methodology

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Forward vs Defense Player Evaluation

Today Travis Yost of TSN.ca put up an interesting post where he ranked forwards and defensemen based on their ice time with their team (1-12 for forwards and 1-6 for defensemen) and then looked at each group (1-12) average to see how the forwards performed. To illustrate this, I took the average Corsi% for every forward who led his team in 5-on-5 ice-time, then repeated the same through the twelfth forward. You’ll notice how the first line looks great, the second and third lines look average, and the fourth line looks poor.   When I do this I get the following

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More on anecdotes, evidence and Corsi

Last night Tyler Dellow criticized me for using ‘anecdotes’ to come up with an idea (not a conclusion or a proof, more of a hypothesis) that by improving Corsi it might have a negative impact on your shooting percentage. Also last night James Mirtle retweeted an April tweet of his looking at the relationship between possession and Corsi and it was retweeted several times. Here is that tweet: On the surface it sounds like pretty resounding evidence. Corsi is king! Corsi rules the NHL! Long live Corsi! The problem is, this is solely backward looking and is only focused on

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Anecdotes, evidence, and open mindedness

Within a couple of minutes of posting my last article on the Corsi and shooting percentages of Carolina and the Maple Leafs there were a couple of back-handed attacks to the post from Tyler Dellow. First, clearly Dellow didn’t fully comprehend the article because I didn’t include any direct commentary on the goal scoring of the Hurricanes and in no way did I imply anything had a correlation of -0.98 with goal scoring at 5v5. Specifically, the correlation was between CF% and shooting percentage and both those statistics include a component that factors into goal scoring. In fact, CF% and shooting

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Corsi and Shooting Percentage of Hurricanes and Maple Leafs

I have frequently wondered if there is an inverse correlation between Corsi and Shooting percentage and have written about it several times in the past specifically with how coaching changes impact these statistics. For example, last season and investigated how coaching changes impacted the teams Corsi and shooting percentage. In the summer though I looked at three teams that we know employed analytics at the coaching level – Toronto, Carolina and Edmonton. In that article I showed that each of those teams improved their Corsi in 2014-15 over 2013-14 but that they also all saw a drop in their team shooting percentage.

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A word on NHL.com’s Enhanced Stats

For those that follow hockey analytics you are probably fully aware of Travis Yost’s recent comments on the enhanced stats pages on NHL.com. Today Greg Wyshynski chimed into the debate with a summary of the situation along with more comments from Yost as well as from Chris Foster of the NHL. The comments from Foster has generated a fair bit of buzz from the hockey analytics community and in particular his comments about “close” stats which Yost railed on earlier. “Years ago, smart people recognized that simply throwing out data for the sake of correcting for score effects was inefficient.

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Summary of RIT Hockey Analytics Conference

This past weekend I attended and spoke at the Rochester Institute of Technology Hockey Analytics Conference and because it was such a great conference I wanted to write up some of my thoughts on the event. First up was a panel discussion on the State of Hockey Analytics with Timo Seppa, Sam Ventura, Andrew Thomas and Matt Pfeffer. Three of these guys now work with NHL teams (Ventura with Penguins, Thomas with Wild and Pfeffer with Canadiens) but they didn’t divulge very much information about the inner workings of their respective organizations. A number of topics were discussed which were

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