May 31 2013 02:48PM
Pic via Brett Stewart
This season's NHL lockout resulted in a few interesting wrinkles when it comes to cap compliance - one of those is the compliance buyout. Every team (except NYR and MTL, who have both used one buyout) has two compliance buyouts they can use during the buyout periods over the next two summers. This year, I've identified a few players in each conference who might be subject to such buyout parameters. These buyouts don't count against the salary cap, unlike regular buyouts.
May 31 2013 12:20PM
The Friends with Numbers are back, and there's lots to talk about. We recap the 2nd round of the NHL playoffs, before discussing the upcoming Conference Finals. Who do we have winning, and ultimately making it to the Stanley Cup Finals?
We would love to hear from you, the listener, for suggestions on future topics of discussion. Rather than us just being in our own little world, we'd like to make this as interactive a show as possible. Feel free to tweet at either Dimitri or Cam .
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May 29 2013 03:38PM
It's not that blocked shots aren't important, it's that the team with the most blocked shots isn't necessarily the best team at shot blocking—the team with the most blocked shots is often the one trying to clear the puck out of its own end. Like in that PK above. It's an excellent shift from Tyler Carroll, but I'd bet that Guelph would rather not be down 3-on-5 in that situation.
So a new statistic has popped up: "Percentage of shots blocked" and it's a little dicey as well. Generally speaking, it's just not good to block a lot of shots or to be in situations where you have to block a lot of shots. "Percentage of shots blocked" has been kicking around but I've seen no evidence that it's a repeatable statistic that correlates with winning.
May 28 2013 12:57PM
Last time I tried to use Machine Learning to create a simple classifier that can predict which of two teams is more likely to win a hockey game. Machine Learning is a class of artificial intelligence that can take a large amount of data, learn from it and then make future decisions. A simple description of it is that the algorithms it uses (such as Neural Networks, Decision Trees, and Support Vector Machines) act like a black box, you feed it in data, it learns from it, and then it can make decisions on new and future data.
May 24 2013 10:48AM
I’d begun to notice something of a trend recently amongst the Oilers’ prospects and decided to take a closer look. Excluding 1st overall picks, is there a one area in which the Oilers are collecting the majority of their successful draft picks? In other words, who, based on draft pick performance to-date, are the Oilers’ best amateur scouts?
The Oilers scouting group is headed by Stu MacGregor, but also features others among the ranks, including Frank Musil, Brad Davis (son of former scout Lorne Davis), Bob Brown, Kent Hawley, Jim Crosson and others. Given the importance of the draft in the modern NHL and the Oilers’ dependence on that aspect of talent acquisition lately, which of these scouts is delivering at peak performance?