It is an interesting consideration. What I don't like about it is that it isn't actual goals. No matter how much statistical prediction is done, there are way too many factors in a fast moving game like hockey to actually assign definitive values to variables. It would actually be interesting after a season to run a simulated season based on the advanced stats and see what outcomes were produced. Maybe it has been done? Would the standings look the same? Would player production?
What bothers me about this in relation to this years Bruins xGF and xGA (?) is that the defense is not better than last season. The stat says the Bruins should have let in 17 fewer goals, but they did let those goals in. So in a model that has goaltending as worse and defense as better, where did those 17 goals come from? And if it is off that much through 2/3 of a season, what will it look like at the end? That amount of goals would nearly wipe out the negative goal differential.
Maybe worse is that it is probably being used in part by the FO to evaluate the path forward, and I hope they aren't looking at that and thinking all is actually pretty well and not a lot needs to be done in terms of change.
As always, I am willing to have my mind changed on this topic. I am a humanities guy and always somewhat of a skeptic when it comes to social science and stat-based attempts to predict human behavior