InjuredChoker
Registered User
If the over/under for the Avs next season was set at 99, how many would bet over?
depends on the roster.
If the over/under for the Avs next season was set at 99, how many would bet over?
Next year, who is more likely to fall down the ladder? Rask or Varly? Given how poor Colorado is with puck possession, it's going to be Varly, which means a bunch of those 1 goal wins will flip the other way, and everyone in hockey is going to say "I told you so".
There's literally thousands of games of data that strongly support fenwick/corsi, including the current Avs season. You're selectively choosing 10 games to prove otherwise.
You don't see a slight problem with that?
The more confounding team to me when looking at advanced stats is the Rangers. They're good defensively, sport one of the best goalies in the game, have good possession #s, plenty of offensive depth, a mobile defense capable of jumping into the play...and yet they simply can't put the damn puck in the net. They also have, IMO, one of the best coaches in the league behind the bench.
The advanced stats guys say it's bad luck, but when your "bad luck" spans years, I don't think you can just chalk it up to that. It's possible it's a question of talent--the Rangers are good, but no real elite game-breakers IMO--or a question of a lack of muckers who can score the dirty goals.
When saying with 80 Avs games this year, that you take the 30 'worst' games and they win 26... you don't see a problem with that? 30 out of 80 is a pretty good sample size to see how corsi has applied to the Avs.
I think there are 2460 games a year. To get a good sample it would take ~100 samples (off the top of my head, probably a tad high... 93 is likely closer) to have a decent amount of confidence. Really they should be randomly picked, but skewing it to the games where corsi should mean the most (worst corsi) you could pick the bottom 100 games and see where it stands.
Bottom 50 corsi games in all the NHL teams went 38-12 against it. It could even out in the next 50, I don't feel like counting more than that though. Random would be more accurate, but that shows that the stat isn't the end all be all. If a team is supposed to lose way more often than not when getting 'beat' that badly in possession, why are they winning so much? There should be a stat that can answer that question and not luck or great goaltending.
When saying with 80 Avs games this year, that you take the 30 'worst' games and they win 26... you don't see a problem with that? 30 out of 80 is a pretty good sample size to see how corsi has applied to the Avs.
I think there are 2460 games a year. To get a good sample it would take ~100 samples (off the top of my head, probably a tad high... 93 is likely closer) to have a decent amount of confidence. Really they should be randomly picked, but skewing it to the games where corsi should mean the most (worst corsi) you could pick the bottom 100 games and see where it stands.
Bottom 50 corsi games in all the NHL teams went 38-12 against it. It could even out in the next 50, I don't feel like counting more than that though.
This whole thread reminds me somewhat of the psychohistory stuff from the Foundation novels written by Asimov in the 40s and 50s.
But not quite as entertaining.
Excellent point. This problem isn't even contained to the Avs who are having a magical season. It's happening league wide.
And as I've said before the Avs are not trying to play a possession game so obviously their possession numbers are going to be poor. They are getting dinged for failing at something they are not even trying at. Yes I know every team wants the puck and to limit shots but not every team plays the same system. These stats seem skewed to a specific style of play that's currently sccessful. We know Roy does things differently, the hybrid man defense is different. The type of offense he's executing is different. It's at Leary something to consider. We all know they need to get better defensively and to improve possession but I guarantee they will never be a top 10 possession team.
Actually, they ARE trying to be a puck possession team. They're just not able to implement that properly because they have a largely immobile, underskilled blueline corps. If Roy was trying to avoid a puck possession game he wouldn't be letting them skate it through the neutral zone like he does. It'd be more like Sacco's dump-and-chase approach.
I see more of a defensive first quick transition offensive team, not a cycle team which Corsi loves. They don't have the size to be a cycle team so they build around the speedy skilled forwards and focus on passing to the slot. It's more quality over quantity with the shots they take, even Babcock said this. Where they need to improve is some of the shots against totals, I think we can all agree there but the shot for totals are not going to dramatically move up is my point.
I see more of a defensive first quick transition offensive team, not a cycle team which Corsi loves. They don't have the size to be a cycle team so they build around the speedy skilled forwards and focus on passing to the slot. It's more quality over quantity with the shots they take, even Babcock said this. Where they need to improve is some of the shots against totals, I think we can all agree there but the shot for totals are not going to dramatically move up is my point.
Bring in more speed and skill to that blueline so Hejda and EJ aren't so grossly overworked and I think the possession woes of this club will change in a hurry. That's one thing that annoys me about the advanced stats crowd--some act as if these problems can't be fixed or that they're fundamental. I don't think that's the case.
http://hockeyanalysis.com/2014/03/12/lets-talk-corsi/
Great article explaining the limitations and use of Corsi. It stresses the need to somehow incorporate "shot quality" in analytics, something that Colorado is very good at doing. In their relatively low chances, I believe they have created great chances.
It also shows evidence that shooting percentage is not subject to regress if above average, dispelling the notion that PDO is automatically going to lower right away.
To the advanced stats crowd, the Colorado Avalanche are the exception that proves the rule. All season long, they defied the math by having an abnormally high shooting percentage and an abnormally high save percentage. The stat known as PDO adds these two numbers together, and the average is about 100. So if a team has a very high or very low PDO, it should eventually regress to the mean of 100 over the course of the season. Sure enough, the first-place Avalanche (with a 102.2 PDO in the regular season that offset a subpar Corsi percentage) lost in the first round to the fourth-place Minnesota Wild after getting outshot by an average of 33-25 each game.
Like a gambler on a hot streak at the blackjack table, the Avalanche defied the math for months. But in the long run, the math almost always wins.
Interesting article about how the Hawks (and Blues) are utilizing the "fancy" stats for their evaluations.
http://www.suntimes.com/sports/hock...-secret-formula-for-success.html#.U2PC_FfRYX1
Here was the mention of the Avs...
I'll never completely agree with analysis like this.
PDO could mean MANY THINGS. Common sense tells me a high S% and SV% could come from skilled players. The combination of both could come from CONFIDENCE as well as luck. And the assertion that every team is the same is noted when comments like "everyone will regress/approach 1000 at some point", and is wrongly used as an absolute, when it shouldn't logically be used.
As for the comment, "the math almost always wins", I have a couple problems with that.
1. It's not the math that is right, the math was created to quantify certain theories about success deriving from teams who have the puck more. DERP. Don't pretend, math appliers, that you figured out hockey.
2. Though it is true that the more you have the puck, the better you are probably going to be, there still can be some anomalies, even though Colorado wasn't that TO AN EXTENT, but they were in a certain SAMPLE SIZE. Sample size is extremely important when analyzing data.
3. I don't get the fascination with the search for the "all-knowing" stat. As far as I know, hockey is fun to watch because YOU DON'T KNOW WHO WILL WIN. Once we get to the point where the "math" can tell us who is going to win before the game happens, then what will be the fun of watching hockey anymore?