
Near the end of his formal introduction as general manager, long after the Wild's new dog Breezer tried to upstage him, Bill Guerin was asked the all-important question about analytics and their use in hockey.
"I'm all in with it. … It's another way to look at what's going on," Guerin said, adding that he's not a number-cruncher himself but he appreciates the data he receives. "The more information you can have, the better. We were extremely big on it in Pittsburgh."
This will certainly please a certain subset of Wild fans, particularly those who believed former general manager Paul Fenton wasn't of the same mind. But I should also caution that talk is cheap and that Fenton offered an answer 15 months ago at his introduction that was fundamentally different than Guerin's but also similar in some ways.
"I don't believe that any decisions are going to primarily be made by analytics, but it will support everything we do with our eyes," Fenton said when he was introduced in May 2018. "That's the most important thing. I will use every resource that we have."
A growing number of sports fans, I think, have come to equate analytics with "good" or at least "smart" in recent years.
But "analytics" can be a catch-all word that gives people with a vague understanding but leaves them short on specifics or concrete examples.
Recognizing that there is a healthy debate to be had about how to best use data — and how useful it is — in a free-flowing sport like hockey, let's nonetheless take a crack at trying to identify how analytics might be used to view one very specific and interesting player: Wild forward Jason Zucker.
Zucker was a player who clearly fell out of favor with Fenton, to the point that the former GM nearly traded him twice. The second of those near-trades was with Pittsburgh – where Guerin was assistant GM before taking the Wild job.