Whenever you find yourself on the side of the majority, it is time to pause and reflect.
I've said for a couple of seasons now that I think Matt Stajan is still a quality player. Even when he was in the midst of his .3 PPG season in 2011-2012, some were still defending him even though scores of Flames fans clamored for a buyout. With him entering perhaps his final season in Calgary, it's time to examine exactly what went wrong.
Let's take a look at the numbers and do some analysis.
August 20 2013 12:11AM
It's that time of the hockey year when every young forward who sits above league-average size bills himself as the next Milan Lucic. Derek Zona has already talked about this plenty. Over at LeafsNation, Cam Charron was forced to do the same.
What drives me absolutely batty about the obsession with developing and acquiring toughess is the tangentially-related obsession with hitting. For every David Backes and Scott Hartnell type, there are a litany of forwards who are more or less hitting because they're never in possession of the puck. We already know that at the team-level, teams win far more often when they're getting out-hit. Which, of course, makes looking at individual data fun!
We’ve heard a lot about draft year scoring and how it predicts NHL performance - but that's not where a prospect's pre-NHL development usually ends. So the question is, do subsequent seasons such as a player’s performance in his draft+1 year help forecast future NHL success or failure?
August 14 2013 09:29AM
By: Pierce Cunneen
Most readers here may be familiar with the Zone entry project. For those who aren't, check out this article by Eric T from NHL numbers. Short version: a group of bloggers for the past few years have taken it upon themselves to track Neutral zone performance for several teams.
August 08 2013 02:20PM
If you've been following my few posts here you will know that I am studying Machine Learning for my masters in Computer Science and I am using those techniques and applying them to hockey analytics. I have found some pretty interesting stuff. Some of my first few posts I wrote here (namely this one and this one) were based off some of my academic research. I have since turned those into an academic paper that was accepted to a Sports Analytics paper.
You can read it: here
The conference it will be presented at is the European Conference for Machine Learning. Specifically at the Sports Analytics and Machine Learning workshop on Friday, 27 September in Prague, Czech Republic.
If you are near Prague at the end of sepember and want to talk shap, drink a Pilzen and check out a local KHL/Czech hockey game, then send me a message via twitter. I will be there for the week.