Cop out? Huh? It’s as if people don’t realize NHL teams use and value analytics in their decision making. You can dismiss it and mischaracterize it all you like, it’s a growing and evolving aspect of running a successful NHL franchise. People used to say the same things about baseball and now it guides just about everything a team does, right down to on the field. It’s taken a long time to get to that point but by constantly improving their process, gathering the data and learning what to interpret and how, they have a very useful tool. The same thing is happening in hockey whether you accept it or dismiss it or not.
People have always been afraid or rejected things they don’t understand. It shakes their belief in what they think they know, might not actually be the case. Personally I call that learning and growth. Analytics in hockey and baseball have given me a far broader understanding of what happens in a game and the value in it. It’s changed a lot of my inherent bias and given me a different perspective on what actually matters and what doesn’t.
I think analytics in baseball in much more useful because you are dealing with individuals. In a team sport analytics do get used, but the data being tracked may not be publicly available. We saw that with two analytic darlings, Harkins and Eyssimont, being demoted, but the data that wasn't favourable to them was more pertaining to passing efficiency in the defensive zone. Something that we have seen European analytics track more fervently than North America.
We've also seen a change in coaching strategy where special teams roles have more importance than the simple analytics.
We've seen some winning coaches suggest that shot based analytics get misused by players, who will shoot for the stat (Trouba is one that comes to mind), where the right play might be to put the puck in the corner and keep possession, especially with no bodies or sticks for deflection in front of the goalie on a point shot.
One of things that still gets me is that a shot based approach still doesn't recognize the value of possession time. So a good 4th line shift that keeps the puck in deep and effectuates a line change with zone possession is a good shift regardless of a shot on goal. Because the reality is that zone possession time is the ultimate goal in hockey, it's a unique feature of the game. But I'm still waiting for someone to watch hockey with a stopwatch I guess.
I think the most important thing is to put context into analytics. The results should come with supporting data. Who are you playing against? Who are you playing with? In what situation are you playing, because that was one that I argued didn't favour Lowry analytically, playing from the defensive zone, and I had a good argument earlier in the year about how the Jets defensemen who were primarily used in game situation where the Jets were defending a lead tended to have worse analytics than the players who weren't being used in that role. So context for me is key. You shouldn't be afraid of math, it's everywhere, but logic and statistics are sometimes at odds, and that's where you need context.