So the analytics community is pretty much not sold on Face offs meaning much correct?
For some reason to me it does. Especially late in games and on special teams.
Or am I way off?
I don't know if its accurate to say, but I feel like faceoffs are less frequent than ever before. Play just flows, they can barely get a TV commercial in some games.
Anything to be seen in Beagle's poor relative corsi? Trotz generally rolls power on power so I am not sure its 100% tough competition.
There's also the problem with faceoff stats, as I believe tx may have pointed out in the past, that awarding a "win" can be a bit subjective and even meaningless if the puck quickly changes hands.
So, OPP CF%. Alzner's is 50.6, Orlov's is 49.8. On its face, that seems like a minor difference. But if you look league-wide, it turns out its really not. Amongst the 137 defensemen who've played 750+ minutes this season (so, top 4 defensemen plus the best 3rd pairings), Alzner ranks 13th in OPP CF% while Orlov ranks 112th. If you wanna use OPP GF%, Alzner ranks 8th and Orlov ranks 107th. Going by either of those metrics, you get the same conclusion as with the TOI based ones: Alzner gets some of the toughest usage in the league, while Orlov's getting some of the easiest usage of any top 4 defensemen. Basically, you cannot make the claim that the difference between Alzner and Orlov's usage is insignificant, without simultaneously making that claim that in the entire NHL there is no significant difference between the usage of shutdown and sheltered pairings, and that's a bold claim that runs counter to league-wide dogma.
You keep arguing against claims that I'm not making and going off to argue for different things -- I was specifically talking about Alzner and Niskanen in context of possession, and you want to illustrate a different point by bringing in Orlov and something called "OppCF% rank" in context of usage, which remains a vague term.
I was NOT making the claim that "the difference between Alzner and Orlov's usage is insignificant" -- I don't even know what units of measure you have in mind for general "usage".
[As an aside: you quote rank of OppCF% as indication of usage. But what quantifiable information about strength of opposition can you extract from rank? When I'm talking about possession, I'm talking in terms of Corsi. In terms of what units of measure are you talking about? If there are no units of measure, than the whole discussion about stats is utterly pointless.]
However, I would make a claim that the difference between Alzner's and Niskanen's opposition is relatively insignificant specifically *in terms of possession effects*. The difference is right there in the numbers -- if #2 faces opposition with OppCF% of 50.18, and #27 faces opposition with OppCF% of 50.57, then the difference between their opposition *in terms of possession performance" amounts to 50.57-50.18=0.39 Corsi events (per 100).
Maybe Alzner indeed faces somewhat stronger opponents than Niskanen's in terms of usage (whatever that actually means), but purely *in terms of possession*, this is a miniscule 0.39 difference per 100 corsi events/units. Why is this insignificant (again, in terms of possession)? Because -- Alzner's presence drags Niskanen's own CF% from 53.8 (overall) to 50.5 (with Alzner) -- that's a difference of 3.3 per 100 Corsi events.
So again, the "possession difference" between Alzner & Niskanen's opposition amounts to 0.39 (per 100) Corsi events;
On the other hand, the "possession difference" between Niskanen's performance overall and his performance with Alzner amounts to 3.3 (per 100) Corsi events.
These are both "apples" that can be compared. And we're seeing basically an effect that's an order of magnitude greater (3.3 vs 0.39). Alzner's opposition may be stronger on average in some overall sense (that remains to be quantified, btw), but it is only marginally stronger in terms of possession -- so the fact that (in relative terms) Niskanen's possession drops by a giant amount with Alzner can only be attributed to Alzner, IMO. And as the WOWY graphs indicate "at a glance", the same will be true pretty much for every single Cap. Alzner makes everybody's possession worse -- taking opposition's possession into account.
Note: if you look at what happens to Niskanen with Alzner compared to without (as opposed to total with all players), the results are even worse -- Niskanen's CF% drops from 55.9 to 50.5, that's a 5.4 Corsi event (per 100) drop, as opposed to the 0.39 difference in opposition possession level expressed in Corsi events per 100.
Good post. Do you think it is safe to assume 8-92-77 could sustain that pace over a longer stretch? Does it reduce Trotz's ability to turtle?
What are the ramifications on the second line?
What other reason is there? Everyone on D is willing to block shots, Carlson/Orlov don't have any problems outmuscling players and Niskanen is pretty cerebral. I'd need to see something explicit to convince me they can't PK reliably. There's god knows how many instance of Orpik messing up his assignment and plowing a guy into Holtby as the puck goes in the net and no one holds it against him.
After the readjustments have been made and testing conducted, it was decided that Short Handed Defense (4) will be dropped from the WAR formula. The decision was based on its extremely minor impact and essentially zero correlation from one season to the next. This topic is worth further exploration, but it fits with previous research noted here. Short Handed Defense in the model will now be completely accounted for in a player’s ability to not take penalties, the best way to help their team’s penalty kill will be to not put them in that situation in the first place.
1. No single person (outside of the goalie, perhaps) is responsible for the success or failure of the penalty kill. At least, not to the extent that people will have you believe.
2. It's difficult to pin down exactly what makes a good penalty killer because of hockey's inherent randomness and complexity.
the best way to help their team’s penalty kill will be to not put them in that situation in the first place.
This is kind of ridiculous but it fits the overall pattern in the community of shelving inconvenient elements of analysis when it doesn't fit some model. How many times have we seen players unfairly penalized?
This is just one of those things that doesn't fit a stat model so it gets discarded, but if you sat and watched a game with someone who knew what to look for he/she could point things out as they happen. It just makes absolutely NO sense whatsoever to conveniently assume that system and goaltending makes Pkers interchangeable plugs. Like any other skill in the world, some are better at it than others.
The author built a model and saw that statistically speaking individuals don't impact penalty killing meaningfully and repeatably compared to other aspects. You can pick apart the model that produces the output if you don't agree with the output, but to say PKing was discarded because it didn't fit the model isn't accurate. It was discarded because the output generated from the model suggested little meaningful individual ability in PKing.
And I don't think it really matters if a player is unfairly penalized or not. Tom Wilson has a reputation and it hurts the team that he has that reputation. It is unfair, but it's something that needs to be accounted for in an evaluation of him and others.
I think trying to assess PKing statistically is going to run into huge problems with differences in competition and starting situations. The guys the coach considers the best PKers are going to start every PK in their own zone, against the opponent's fresh first unit. Compare that to the second unit - they're either changing on the fly after the first unit cleared it and thus getting to contest the entry, or they're facing off in their own zone against a tired 1st unit or a fresh, but weaker second unit. Whatever the situation, it's a noticeably easier assignment, and that's going to confound the statistics. If you want to claim that PKing outcomes aren't predictive of future PKing outcomes ergo PKing skill is roughly even throughout the league, you need to work out the influence of those confounding factors first. The problem is, I don't know how you do that. In order to know how much usage affects outcomes, you need to know how much the player's skill at PKing affects outcomes in order the factor that out. To know how much skill at PKing affects outcomes, you need to know how much usage affects outcomes in order to factor that out. It's a catch-22.
Nothing in either of the sources you linked seems to indicate that they made any effort to factor in usage before coming to the conclusion that individuals don't affect outcomes (although, as I mentioned before, I'm not sure how you could do this). It's one thing to say that individual outcomes, on their own, aren't predictive. I can accept that. But it's another thing entirely to use that conclusion to say that there's little individual difference in PKing skill.
Response Variable
-Rate at which an Expected Goals event took place
Explanatory Variables
-All players on the ice
-The coaches of both teams
-Zone the shift started in
-A score adjustment
-If one of the teams is playing a back-to-back
-A home ice advantage adjustment
The entire XPM model in the first source factors in usage and deployment. It's a 5 part series of posts and is explained in part 2:
https://hockey-graphs.com/2016/10/25/expected-plus-minus/