Cornell vs. Princeton--ECAC Semis

[djk26]

Great article, I thought (even if it takes the "60 Minutes" route of being a cheerleader and stenographer for its subject.)

[Beeeej]

Great article, I thought (even if it takes the "60 Minutes" route of being a cheerleader and stenographer for its subject.)

Great insight for those who've been saying (or even thinking) that Schafer couldn't and wouldn't change.

[scoop85]

The aforementioned Cornell feature on CHN:

https://www.collegehockeynews.com/news/2018/03/15_Older,-Faster-Cornell-Stronger.php

One of the more interesting articles I've read in awhile. Nice work by Adam and his team!

[jeff '84]

The aforementioned Cornell feature on CHN:

https://www.collegehockeynews.com/news/2018/03/15_Older,-Faster-Cornell-Stronger.php

One of the more interesting articles I've read in awhile. Nice work by Adam and his team!

What he said^ . Well done.

[BearLover]

The aforementioned Cornell feature on CHN:

https://www.collegehockeynews.com/news/2018/03/15_Older,-Faster-Cornell-Stronger.php

One of the more interesting articles I've read in awhile. Nice work by Adam and his team!

What he said^ . Well done.

It's a nice and fascinating story. I do wonder, though, how well part of the premise is actually supported by the numbers. Cornell is tied for the second-tallest team in college this year, and it's winning a ton with a big freshman class whose average age (19. is essentially unchanged from the years cited in the article when Cornell was "younger." And the leading scorers on the team (Angello, Yates, Rauter, Mallott) are all pretty big. Vanderlaan being the exception, but Cornell has usually had a small top-scoring guy or two (Vesce, Topher, Gallagher, Roeszler, Mowrey). I'm not going to argue the team doesn't look faster and all-around better than it has in years past, but I think the reason might lie beyond age and size. Cornell waiting until later to recruit guys is probably part of it.

[Trotsky]

That is a great article.  Good job by both the author and the editor(s).

[Trotsky]

It's a nice and fascinating story. I do wonder, though, how well part of the premise is actually supported by the numbers. Cornell is tied for the second-tallest team in college this year, and it's winning a ton with a big freshman class whose average age (19. is essentially unchanged from the years cited in the article when Cornell was "younger." And the leading scorers on the team (Angello, Yates, Rauter, Mallott) are all pretty big. Vanderlaan being the exception, but Cornell has usually had a small top-scoring guy or two (Vesce, Topher, Gallagher, Roeszler, Mowrey). I'm not going to argue the team doesn't look faster and all-around better than it has in years past, but I think the reason might lie beyond age and size. Cornell waiting until later to recruit guys is probably part of it.

It may be recruiting guys with a similar frame but a different skill set.  Eric  Lindros and Gary Nyland are the same size.

So are Mitch Vanderlaan and Tie Domi.

[Jim Hyla]

The aforementioned Cornell feature on CHN:

https://www.collegehockeynews.com/news/2018/03/15_Older,-Faster-Cornell-Stronger.php

One of the more interesting articles I've read in awhile. Nice work by Adam and his team!

What he said^ . Well done.

It's a nice and fascinating story. I do wonder, though, how well part of the premise is actually supported by the numbers. Cornell is tied for the second-tallest team in college this year, and it's winning a ton with a big freshman class whose average age (19. is essentially unchanged from the years cited in the article when Cornell was "younger." And the leading scorers on the team (Angello, Yates, Rauter, Mallott) are all pretty big. Vanderlaan being the exception, but Cornell has usually had a small top-scoring guy or two (Vesce, Topher, Gallagher, Roeszler, Mowrey). I'm not going to argue the team doesn't look faster and all-around better than it has in years past, but I think the reason might lie beyond age and size. Cornell waiting until later to recruit guys is probably part of it.

You talk about the forwards, but there has also been a big change in our defense. We have a group of defensemen who, virtually all, have the ability to carry the puck up the ice and, if they feel they can make an offensive move, are not afraid  to jump into the offensive action, including skating all the way to the goal line and the corners. None of that would have been as prominent 5 or 10 years ago.

Finally, as I posted on Adam's article:

"You also have to look at the fact that the class of 2015 never lived up to their billing. I'm sure that was also a reason to look at who they were recruiting."

[Swampy]

The aforementioned Cornell feature on CHN:

https://www.collegehockeynews.com/news/2018/03/15_Older,-Faster-Cornell-Stronger.php

One of the more interesting articles I've read in awhile. Nice work by Adam and his team!

What he said^ . Well done.

It's a nice and fascinating story. I do wonder, though, how well part of the premise is actually supported by the numbers. Cornell is tied for the second-tallest team in college this year, and it's winning a ton with a big freshman class whose average age (19. is essentially unchanged from the years cited in the article when Cornell was "younger." And the leading scorers on the team (Angello, Yates, Rauter, Mallott) are all pretty big. Vanderlaan being the exception, but Cornell has usually had a small top-scoring guy or two (Vesce, Topher, Gallagher, Roeszler, Mowrey). I'm not going to argue the team doesn't look faster and all-around better than it has in years past, but I think the reason might lie beyond age and size. Cornell waiting until later to recruit guys is probably part of it.

Excellent article.

These may be minor points, and perhaps they better belong on the mathematical models thread. But I'm putting them here because they have to do with the kind of statistics being presented to characterize teams and recruiting, rather than with predicting winners and losers.

1. I wish reporters and commentators would use median age, height, etc. to characterize teams, instead of using means. It's a well-known characteristic of means that one or two outliers (e.g., one 5' 6" player) can greatly affect the value of the mean. In contrast, the median just identifies a center point, and it's therefore sensitive to the overall distribution of the data but not sensitive to extreme values.

2. When reporting certain statistics, such as age, at the team level, how should we interpret them? Is a team "young" because its players all joined the team fresh out of high school, and therefore they all started playing college hockey at age 18 or younger. Or is a team "young" because it plays a disproportionate number of underclassmen?

There are a number of well established, rather simple ways to decompose such summary statistics into such components, such as the average ages of each class versus the number of players in each class, and this would be much more interesting than simply reporting a single overall statistic that could reflect multiple underlying realities.

[Beeeej]

USCHO's preview:

http://www.uscho.com/ecac-blog/2018/03/16/heading-to-lake-placid/

[French Rage]

Is ElevenSports doing the game on Twitch again?

[Beeeej]

Is ElevenSports doing the game on Twitch again?

Yes, ElevenSportsPrime. So they say.

[taggrt]

Is it going to be behind some sort of paywall? Otherwise why would people pay the 10$ for the BoxCast version?

[Beeeej]

Is it going to be behind some sort of paywall? Otherwise why would people pay the 10$ for the BoxCast version?

It is not, and I have no idea.

[taggrt]

Is it going to be behind some sort of paywall? Otherwise why would people pay the 10$ for the BoxCast version?

It is not, and I have no idea.

Awesome thanks!