the example is "sharking". The assumption is we're relying on Maurice/whoever to put appropriate weight on what the effect of 1 "sharking" shift is on a players overall contribution. Anecdotally, it means nothing. If the player sharks on a shift yet finishes that shift with his line +4 CF, was sharking a bad thing? What if his sharking was responsible for turning a fumbled Dzone entry by the opposing team into break away, or a 2-1, or a goal? "sharking" in itself is just an input, we don't know what that correlates to on any given shift, it may not correlate to anything, which at the end of the day would mean, who cares?
Hey Grind,
As much as I respect the stats-minded folks who post here, and recognize their hockey knowledge as far superior to my own, I have seen a few of these sorts of arguments lately. And I believe it a flawed argument that should be challenged, if I may.
The argument can be boiled down to something like "the individual factors (size, strength, skill, technique) are irrelevant if the desired result (out-shooting or more specifically out-scoring your opponent) is achieved. I believe Garret often uses the expression, "not seeing the forest for the trees". This is a dangerous statement if you allow it to singly govern how you coach and develop players. You also don't want to "not see the trees for the forest".
In your quote above, you criticize Mo for attempting to correct Ehlers for what he considers a bad technique (sharking). Your basis is that he has no good reason, perhaps no hard data, to substantiate this belief. Therefore he should not do it.
There's a few ways I could try to refute this. The first is a reductio ad absurdum.
Imagine if Ehlers decided to play the whole game skating backwards. Would it be foolish for Maurice to correct this behavior? After all, we don't have any statistical analysis of players who do this. Maybe Ehlers even ends up Corsi positive while doing so. Do we then say, well I guess it's OK? Of course not. The proper response is to correct the behavior. If he can play so well skating backwards, he'll be a monster doing things properly (skating forwards).
It seems to me the mistake being made here is to ignore established, non-statistical knowledge (sharking is bad, skating forward is good). Of course, not all traditional, established knowledge is perfect. But neither is statistical analysis, due to incomplete data, simplified analytical models, or confounding factors.
Both are valuable. Both tend to be good or bad at particular things relating to hockey. I trust stats to give me a pretty accurate measure of a player's current contribution to winning a game. I trust stats to give a reasonably good prediction of future success.
I trust coaching, training, and established hockey knowledge to improve a player's technique, strength, and other "inputs" into the Corsi machine that maximizes a player's effectiveness.
As we move forward into the high tech future of sport, analytics may have more and more to say about all aspects of the game. (And it certainly has identified some gaps in established wisdom already.) But we're not quite there yet.