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But they have just done those things to create more on-roster value for them.
And I think that's the component of using the...
data to raise the floor consistently and constantly be raising the floor where they can find your Jackson Blakes and are playing huge roles.
That's the bit I think that we need to take the lesson for hockey about how the direction of
data is meant to be used is how do we figure out what not to do like where are the overwhelming mistakes teams consistently make and how do we remove those from our decision-making criteria for whatever franchise and I think that's the thing that's absolutely repeatable and I think people confuse data-driven with analytics and
He was excellent in Washington.
Looked like a completely different player.
There was 940 skaters that played one game this year.
For them, being able to model exactly what you're looking for, whether it be player traits, you can talk about Corsi kings, all that sort of stuff.
Being able to cut that, what, into a third?
And say, this is the only group of players we need to look at because they fit our playing style.
And I think that's the big thing.
It's like they've crafted a very specific identity for how they want to play.
It's different than everyone else.
I don't necessarily enjoy watching it, but I respect that they had the courage to come up with their own personal identity.
That's the bit.
It's like, hey, we're going to be different.