On this week’s episode, Rhys and Garret break down everything you’ve ever wanted to know about Josh and MoneyPuck’s Prospect Cohort Success model, which was unveiled on Tuesday. We look at PCS’s strengths and weaknesses and outline where we can go from here in the realm of prospect analysis. Join us after the jump!
This week, Rhys and Garret ask if Mike Babcock is really worth his $6+ million annual salary, look at Canada’s dominance on the world hockey stage, examine Tyler Johnson’s unlikely ascension from marginal junior player to NHL playoff hero, and of course do some good ol’ fashioned prospecting.
On this week’s episode, Rhys and Garret go over some highlights of Corey Pronman’s Top 100 Prospects for the 2015 NHL Entry Draft.
Image Courtesy of WikiMedia Commons
The biggest incentive for teams to employ analytics is exploiting market inefficiencies. Whenever you can exploit an inefficiency in a market it gives your team a comparative advantage over the others. In other words, you raise your team’s chances of being a successful club.
I took a look at previous work from Eric Tulsky and Michael Schuckers on draft pick value and used them to show how one may use statistical analysis to take advantage of market inefficiencies.
Let’s take a look.
On this week’s episode, Rhys and Garret talk about the final playoff stretch drive, the Vancouver Canucks signing Derek Dorsett and Luca Sbisa, and the Central Scouting final rankings.
On this week’s episode, Rhys and Garret talk about Michael Hutchinson’s recent struggles, Jacob Markstrom’s inability to make the NHL transition, the Canucks signing of prospect Ben Hutton, Corey Pronman’s trolling of Rhys, and some Alberta Major Bantam talk to top it all off. Join us on the other side of the break to listen!
Welcome to the inaugural episode of the Hockey Graphs podcast, where Rhys Jessop (of Canucks Army and That’s Offside) and Garret Hohl navigate the wonderful world of podcasting for the first time ever. Join us as we discuss Vancouver Canucks and Winnipeg Jets prospects, what the hell is up with the Anaheim Ducks, and, of course, a healthy dose of fancystats. Continue reading
The graph above represents how some may look at and use hockey statistics; the better a player performs in a statistic equates to more skill. This practice can be found in league equivalencies -now more commonly known as NHL equivalencies (or NHLe)- originally contrived here by Gabriel Desjardins.
In truth, almost all of us can be guilty of this at one point or another, like when using evidence like “Player A has a better Corsi%; therefore, he is pushes the play better”. Most reasonably understand that this is not how it works, but it is not discussed often enough. These tools are used to show average expected outcomes. The output is not the only possible outcome. Continue reading
