I'm not sick of advanced stats. I'm sick of the continuing misunderstanding - not by casual fans, by people who do
teh analtyics and created advanced stats - of what some stat really means or how to practically apply it, because they should all know better.
Way too many people - and especially
teh analytics people - and way too many takes still see correlation and thinks
aha, there's the explanation! and run off accordingly.
PDO and winning percentage are highly correlated. PDO is nothing more than an aggregate of all team and individual performance, for offense and defense, split into two numbers that are added together.
Are both of those two numbers that get added together highly correlated with winning percentage? No. Or, not nearly as much as PDO. [Which, this should already be raising questions, but it doesn't - so, we move on.] So all I have to do is increase "the sum of my goalie saving more shots" and "the sum of my skaters to score on more shots" and we're more likely to win more games, right? OK.
How do I use PDO to adjust the roster, adjust the offensive and defensive schemes to improve my chances of winning? 
Playoff series are short, there's a hell of a lot more variability in results in 4-7 games vs. 82 games, how do I use
PDO from the regular season to predict what's going to happen in the playoffs?
Is there any practical application of PDO that I can reliably use for decision-making for say organizational planning, sports betting, or anything?
But goddamnit,
PDO is highly predictive! It's highly predictive, Bob!
Some like has CF% above X, and the xGF/xGA is above some ratio?
Oh, look, they're doing really good? OK,
why? Does that line have special synergy? Is someone carrying the others? Is it favorable line matchups? Have they just been on a heater and they're going to calm down?
How do I apply this for other guys on the roster?
Can I take this and build a roster where everyone in other places has "above average" stats and now on the same roster, they're still going to have "above average" stats or maybe be even better?
And this goes to all kinds of advanced stats getting cranked out: lots of
ooh, aah, completely lacking in context or explanation.
Which brings me to one of my all-time hates: if a stat is higher/lower than expected, it's explained away with "well, there's going to be regression to the mean" as if they or anyone else knows what the mean is.
You don't know. I mean, I'm sure you
think you do, you
claim you do because of long-term averages and blah blah blah, but at the micro-level, at the player level,
you have no clue what any player's "mean" is at any given point in their career until you have enough data to get a reliable sense of what they've done, by which time other things have changed and the observed historical mean may not be the expected mean going forward. Quit pretending you have any clue what "mean" is for something.
I've said it a number of times, I'll say it again: whoever figures out how to take all these stats and apply them in such a way that they produce reliable results going forward is going to make
an absolute f***ing shitload of money, because that's going to be applicable to a huge swath of business applications. [Spoiler: it starts with understanding
why some stat looks like it does.] Until then, everyone is figuratively pissing in the kiddie pool thinking they're making great art.