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Old 08-28-2013, 03:55 PM   #101
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Quote:
Originally Posted by ricardodw View Post
You can look at the distribution and interpret the results how you want---

team ---------- Pts ---------- goal diff ---------- soft player count
P - CHICAGO ---------- 77 ---------- 53 ---------- 2
Z - PITTSBURGH ---------- 72 ---------- 46 ---------- 1
Y - ANAHEIM ---------- 66 ---------- 22 ---------- 3
Y - MONTRÉAL ---------- 63 ---------- 23 ---------- 3
X - BOSTON ---------- 62 ---------- 22 ---------- 2
X - ST. LOUIS ---------- 60 ---------- 14 ---------- 1
X - LOS ANGELES ---------- 59 ---------- 15 ---------- 3
Y - VANCOUVER ---------- 59 ---------- 6 ---------- 4
X - TORONTO ---------- 57 ---------- 12 ---------- 2
Y - WASHINGTON ---------- 57 ---------- 19 ---------- 3
X - SAN JOSE ---------- 57 ---------- 8 ---------- 4
X - NY RANGERS ---------- 56 ---------- 18 ---------- 1
X - DETROIT ---------- 56 ---------- 9 ---------- 6
X - OTTAWA ---------- 56 ---------- 12 ---------- 4
X - MINNESOTA ---------- 55 ---------- -5 ---------- 4
X - NY ISLANDERS ---------- 55 ---------- 0 ---------- 3
COLUMBUS ---------- 55 ---------- 1 ---------- 2
WINNIPEG ---------- 51 ---------- -16 ---------- 3
PHOENIX ---------- 51 ---------- -6 ---------- 2
PHILADELPHIA ---------- 49 ---------- -8 ---------- 3
DALLAS ---------- 48 ---------- -12 ---------- 4
NEW JERSEY ---------- 48 ---------- -17 ---------- 4
BUFFALO ---------- 48 ---------- -18 ---------- 5
EDMONTON ---------- 45 ---------- -9 ---------- 7
CALGARY ---------- 42 ---------- -32 ---------- 5
CAROLINA ---------- 42 ---------- -32 ---------- 4
NASHVILLE ---------- 41 ---------- -28 ---------- 5
TAMPA BAY ---------- 40 ---------- -2 ---------- 1
COLORADO ---------- 39 ---------- -36 ---------- 1
FLORIDA ---------- 36 ---------- -59 ---------- 4
Quickly eyeballing those stats would imply that there could be a bit of correlation with RGI and success, but at best it's weak.
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Old 08-28-2013, 04:00 PM   #102
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-33%

The scatterplot looks pretty funny.
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Old 08-28-2013, 04:10 PM   #103
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Well, the data is garbage, the premise is a mess, and, really, that subjective method of setting target variables is also very silly. So I'm not going to waste my time on that.

But I did do something easier that I believe takes this guys idea and at least normalizes it to a point where the numbers actually mean something, even if the data is garbage. My methodology is thus:

I assumed that Hits, Blocked shots and Takeaway/Giveaway differential actually defines grittiness. Silly presumption, I know, but it's somewhere to start.
So what you're really saying is RGI is bull#### and Ricardo is full of ####? I didn't need to do any regression analysis to figure that out.

Nice job on the stats by the way!
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Old 08-24-2022, 12:07 PM   #104
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I haven't read through the thread in detail, but players (and teams) who block a lot of shots tend to have very poor possession stats. There is a reason they need to block so many shots.
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Old 08-24-2022, 12:08 PM   #105
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9 year bump? Interesting.
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Old 08-24-2022, 12:12 PM   #106
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It's a shame nobody ever tried to calculate Gaudreau's RGI.
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Old 08-24-2022, 12:25 PM   #107
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9 year bump? Interesting.
That bump took real grit.
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Old 08-24-2022, 12:30 PM   #108
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Quote:
Originally Posted by Lanny_McDonald View Post
So what you're really saying is RGI is bull#### and Ricardo is full of ####? I didn't need to do any regression analysis to figure that out.

Nice job on the stats by the way!
This post could have been written yesterday.
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Old 08-24-2022, 12:35 PM   #109
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This post could have been written any y̶e̶s̶t̶e̶r̶ ̶day.
Fixed
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Old 08-24-2022, 12:35 PM   #110
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this is going to be a fun bump lol
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Old 08-24-2022, 12:36 PM   #111
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What about Chris Butler? Butlersoft!
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Old 08-24-2022, 12:55 PM   #112
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I like it. But I still like the GAF meter. Depending upon how many sparks fly out their ears and how much fire comes out of their mouths you can always tell when a guys meter is pegged.

Highest GAF players, coaches for me on the Flames are pretty obvious.
- Weegs looks like he could be pretty intimidating.
- Tanev is part Stephan Yelle , part Daymond Langkow , part Iginla....silently leading and warrioring ( new word).
- Lucic...nuff said...still the toughest in the league me thinks.
- Raz....he backs up his mouth enough.
- Markstrom....takes heat , shoulders blame , true leader
- Lindholm....just improving every time I watch...hell pop 50 this year.
- Kadri....that edge, attitude , I hope he doesn't actually kill Kane but there's gonna be fireworks . Can't wait to watch. If he channels that aggression into effort not giving cheap shots he gonna be amazing.
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Old 08-24-2022, 01:00 PM   #113
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How do you even find a 9 year old thread to bring back from the dead anyhow?
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Old 08-24-2022, 01:01 PM   #114
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In before the lock
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Old 08-24-2022, 02:12 PM   #115
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Totally forgot that Steve Begin played for the Flames in 12-13.
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Old 08-24-2022, 02:18 PM   #116
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It's a shame nobody ever tried to calculate Gaudreau's RGI.
It's about a pack of skittles
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Old 08-24-2022, 03:03 PM   #117
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Why was this ancient thread worth resurrecting? Honestly makes no sense.
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Old 08-24-2022, 03:04 PM   #118
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Why was this ancient thread worth resurrecting? Honestly makes no sense.
It makes as much sense as it ever did, I suppose.
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Old 08-24-2022, 03:19 PM   #119
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What an insane premise.

Taking repeated crosschecks in the slot trying to make a play doesn't show up on any stat sheet, advanced or traditional. Are those players not gritty?
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Old 08-24-2022, 03:28 PM   #120
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Reading through the OP and thought a lot of the rationale made sense and that it was an interesting proposal. Then wondered why he was picking samples of random players like Baertschi and Glencross.....only realized the thread was 9 years old when I saw Sarich. One hell of a threadsurrection
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