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Return on Investment for Hockey Analytics

Recently, Craig Custace wrote a piece($) for ESPN Insider on the New Jersey Devils search for a Director of Hockey Analytics.  In that article, there was an underlying tone that hockey analytics was expensive.  Ryan Lambert of Puck Daddy nailed this one a couple days after when he wrote (under #3): I love this idea that more NHL teams aren’t investing in analytics because the price tag reaches into the hundreds of thousands of dollars. This is a league in which a team still employs  [...]



Out of the Ice Age: Some Hockey Analytics Highlights since #SSAC2012

This week is the 2014 MIT Sloan Sports Analytics Conference.   While the conference has not always had a panel on hockey, there is one this year. To that end, I took a look at some of the innovative pieces of hockey analytics work since the last conference panel in 2012. I’ve made a list below,  in no particular order, along with links and a quick summary of the contribution. Giving the growth of analytics and the growth of hockey analytics, this list is surely incomplete.     Player Usage  [...]



A look at the US Olympic Squad for Sochi from Analytics perspective

So I’ve been in Helsinki this Autumn and as a result haven’t gotten to see much live NHL hockey.  (I’ve seen plenty of pee wee and bantam hockey as well as a couple of SM Liiga matches.)  We’re headed home just after the end of the year and one of the highlights once we get back to the states will be watching the Olympic hockey tournament.  Should be a blast.  To that end, I thought I would take a look at the candidates for the  [...]



Schuckers interviewed on TSN 1050 Toronto

Below is the audio from Schuckers’ interview on TSN 1050 Toronto’s Drive with Bill Hayes on Monday August 26, 2013.  Schuckers appearance starts around minute 35.   Tweet



Schuckers named Significant Contributor by American Statistical Association.

Statistical Sports Consulting LLC’s Co-Founder Michael Schuckers was recently named 2013 Significant Contributor by the American Statistical Association’s Section on Statistics in Sports.   Schuckers is also an Associate Professor of Statistics in the Mathematics, Computer Science and Statistics Department at St. Lawrence University in Canton, NY.   As part of being named a Significant Contributor, Schuckers gave a luncheon talk at the Joint Statistical Meetings in Montreal at the beginning of August.  His talk was entitled What Statistics/Analytics Tells Us About Ice Hockey.  Additionally, he  [...]



Total Hockey Rating (THoR) results through end of 2013

The THoR page (http://www.statsportsconsulting.com/thor) has the latest set of Even Strength (EV)  and All (EV/PP/PK) ratings for players that appeared in over about 25 games in the past two seasons.  What is new here is that we have added a new model for EV and PP and PK to the model to our EV model.  The model for all events includes all of the terms in the EV model (see the THoR page) such as Quality of Teammates, Score Effects, and Zone Starts and adds  [...]



Total Hockey Rating (THoR) results through 04/14/13

The THoR page (http://www.statsportsconsulting.com/thor) has the latest set of Even Strength ratings for the top 150 players.  I’ll give some commentary below.  Since MIT Sloan, we have added rink effects for each rink to the rink effects for shots and a score effect when the score has a differential of 2 or more.  The former aims to reduce bias in recording of RTSS events while the latter is indicative of changes of style of play according to the score. We got some good feedback at  [...]



Going First in NHL Shootout: Postscript

A couple weeks ago I made available some work we did on the NHL shootout regarding whether there is an advantage to going first or second in the shootout.  This is a postscript to that post.Our analysis found that there was not an advantage to going first. This prompted some interest and some queries. Based on these, I’ve done some additional analysis and I want to share those. First, Bruce McCurdy of the Edmonton Journal wanted to know about whether there was a difference if the shootout  [...]



More on NHL Faceoffs

More on NHL Faceoffs

This past Spring, two students of Schuckers did undergraduate honors theses at St. Lawrence analyzing NHL data.  Tom Pasquali who is now a graduate student in Statistics at Villanova University focused on faceoffs while another student, Jim Curro (now a graduate student in Statistics at Iowa State), did some work on player ratings.  In the NHL faceoff analysis that is linked below, we used primarily Tom’s work but also a portion of Jim’s work.  We analyzed over 200,000 faceoffs over three NHL regular seasons (2008-9,  [...]



NHL Shot Probability Maps

NHL Shot Probability Maps

I recently made some league-wide shot probability maps based upon the 2009-10 NHL regular seasons.  Each map is of a particular shot type and strength of the shooting team.  The strength of the shooting team is whether they were at even strength, on the power play or were shorthanded.  The maps are limited to shots taken in the offensive zone.  Most of the methodology is the same as what is found in the DIGR paper.  I did some non-parametric smoothing using the LOESS function in  [...]