KaseMeOutside
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- Oct 18, 2011
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Curious how Chris Osgood actually stacks up with some of his peers here. He is a lot of times brought up as the guy that should fall short of the HHOF though his numbers seem to put him with a lot of elite company. Would have very likely won the Smythe had Detroit found a way to close out back to back titles against Pittsburgh. Just curious what he looks like in terms of this, would it help bolster his case or hurt it?
Great stuff! One small note, I believe you're missing a mutual elimination game for Lundqvist - 5/12/2012 game 7 against Washington (Rangers win 2-1).
Olaf "Godzilla" Kolzig!
This is great! Thanks for sharing.
I'm surprised that the results are not statistically significant. Are they still non-significant if you bin all the elimination games together and ask whether the goaltender is better in elimination vs. non-elimination? I'm just thinking that the sub-categories really cut down on the sample size so if you just make two categories (elimination and non-elimination) you might find that the results are significant. Maybe you have already tried this? Also, what are you using as your significance test? Z-score with binomial distribution for the variance?
How about Ed Belfour?
Please,Luongo is the most clutch goalie.
giguere. he did very well in playoff OT
Curious how Chris Osgood actually stacks up with some of his peers here. He is a lot of times brought up as the guy that should fall short of the HHOF though his numbers seem to put him with a lot of elite company. Would have very likely won the Smythe had Detroit found a way to close out back to back titles against Pittsburgh. Just curious what he looks like in terms of this, would it help bolster his case or hurt it?
Really good question - for better or for worse, I'm using a z-test assuming a binomial distribution on save percentage. This, of course, assumes that save percentage is a perfect binomial, which presents its own problems, but it's the best that I've thought of so far.
I look at a goaltender's overall playoff performance, and my null hypothesis is that (in a given type of elimination game) the goaltender will perform similarly to his overall level.
I haven't tried putting the two types of elimination games together yet (I think that they'd be different kinds of "clutch" situations), but it's certainly something that would be straightforward to try.
There are some results that could be considered statistically significant. For instance, when a goaltender can eliminate an opponent:
Andy Moog (556 expected saves, 574 actual saves, p value 0.010)
Jose Theodore (219 expected saves, 228 actual saves, p value 0.018)
Ed Belfour (661 expected saves, 675 actual saves, p value 0.030)
When a goaltender can be eliminated:
Henrik Lundqvist (589 expected saves, 609 actual saves, p value 0.0011)
Tim Cheveldae (188 expected saves, 197 actual saves, p value 0.023)
Frank Pietrangelo (143 expected saves, 150 actual saves, p value 0.028)
In mutual elimination games:
Henrik Lundqvist (159 expected saves, 166 actual saves, p value 0.024)
Dwayne Roloson (92 expected saves, 97 actual saves, p value 0.030)
Neat to see Chevy on that middle list.
Ozzie seems to lose a bit of steam when on the ropes (fortunately for him, the Red Wings weren't on the ropes a lot).
The opposite I think can be said of Curtis Joseph. His GAA might be better than Fuhr's but he was the anti-thesis for a guy you 100% trusted when the chips were down. Let in some untimely soft goals in his career and that doesn't always show up on the stat sheet.
To me it's hard to look solely at this kind of data because the on-ice performance tells so much with the naked eye. Take the 1987 Canada Cup with Grant Fuhr. He allowed 6, 5 and 5 goals in that three game series against the Russians. He allowed some soft goals in that series actually. However, typical of Fuhr, when he would allow a soft goal it was always at the beginning of the game. This way he let his team back in the games and then when it was close again he always managed to shut the door. Game #2 in overtime is a perfect example. He was stellar and gets less credit than he should. When the game was on the line Fuhr slammed the door shut, but he allowed 5 goals in an extremely important game. That being said, these were wide open end to end games that were going to have a lot of goals either way.
The opposite I think can be said of Curtis Joseph. His GAA might be better than Fuhr's but he was the anti-thesis for a guy you 100% trusted when the chips were down. Let in some untimely soft goals in his career and that doesn't always show up on the stat sheet.
I definitely think the data would be a better measure of "clutchness" if you isolated it further to something like "save percentage in the third period of tied or 1 goal playoffs games plus overtime," but that really kills the sample size.
Thanks a lot for the detailed response.
Not sure if you're looking for alternative significance tests but a bootstrap approach is a possible alternative to the binomial assumption.
Amazing to see how much Lundqvist steps it up in clutch situations. If I'm understanding that correctly, he has prevented what should have been 30 goals in those 19 elimination games. Really incredible.
Could you do Curtis Joseph? Like the stats by the way. Thank you.
see i think playoff overtime should be considered a clutch statistic, we've all sat through them and there really isn't a much more intense situation IMOGiguere certainly did well in playoff overtime, although most of those games weren't elimination games:
Situation | GP | W | L | Actual SV% | Expected SV% | S+/30
All Games|52|33|17|0.925|0.907|+0.54
Can Eliminate|10|7|2|0.918|0.909|+0.28
Can be Eliminated|6|3|3|0.911|0.905|+0.18
Mutual Elimination|1|0|1|0.880|0.917|-1.12
(Unlike the above table, these results form do not form a partition. Mutual Elimination games are included in all three "elimination" categories)
Given what I remember about Giguere, I was surprised that he only has one mutual-elimination game to his credit:
Game | Result | Score | Shots | Exp Saves | Actual Saves
6/9/2003 at New Jersey|L|0-3|25|22.9|22
see i think playoff overtime should be considered a clutch statistic, we've all sat through them and there really isn't a much more intense situation IMO
Game | Result | Score | Shots | Exp Saves | Actual Saves
5/15/1993 at Toronto|L|0-6|36|32.1|30
5/19/1995 vs. Vancouver|L|3-5|21|19.0|17
4/29/1997 at Dallas|W|4-3 OT|41|37.0|38
5/4/1998 at Colorado|W|4-0|31|28.0|31
5/9/2001 at New Jersey|L|1-5|20|17.8|15
4/30/2002 vs. NY Islanders|W|4-2|33|29.7|31
5/14/2002 vs. Ottawa|W|3-0|19|17.2|19