pucka lucka
Registered User
Yesterday Gabriel Desjardins -founder of Behind the Net & Arctic Ice Hockey, and former consultant for multiple NHL teams- commented on that NY Post article. I talked to him after about it.
Essentially his point goes like this:
Hockey stats "revolution" in the NHL is different than Baseball... and it has nothing to do with the style of the game.
Baseball had players that were vastly under appreciated and other vastly over appreciated. Analytics was able to turn the game upside down.
Events have been tracked by teams for decades. Team's have been analyzing events and video for years. There isn't any low hanging fruit 4th line player who is unappreciated and actually a top line player.
With hockey it's not the debate of analysis vs no analysis, as analytics have been going on in hockey for a while. The issue is good analysis vs far better analysis. For the most part team's are extraordinarily internal, and not just in terms of hiding their data. Teams essentially track and test metrics only with themselves and on themselves, and the testing part is very minimal.
This relates to the discussion earlier on this thread between Avco, Whilee, and I. Teams already make good decisions, like Chicago. This doesn't mean that the current movement online that has been vigorously testing things league wide couldn't improve those decisions. They also make bad ones, like the example I gave about situational save percentage they use actually performing worse than regular save percentage.
He adds that you won't be seeing the teams that hired guys turning over and becoming successes instantaneously for that reason.
This sounds like an education issue. A complete lack of understanding of the field of statistics. Probabilities and confidence levels are rocket surgery (they really aren't it just seems that way at first) to most people.