Dr. Strangepuck or: How I Learned to Stop Worrying and Tolerate the Penguins Power Play
So now that you've all fretted over my last post and perhaps even cried into your Iron City, I'm going to explain why what I said in that last post probably won't matter.
Gabe Desjardins of Behind the Net gave it away a little bit in one of Frank's comments to that post, but I took a slightly different angle. While he looked at shot differential, I looked at even-strength goal ratios, similar to what Richard Pollock did in this Puck Prospectus article. (Disclaimer: I hadn't read that article until I was already working on this mini-series of posts.)
While it is true that a team's PP% is important, it's absolutely vital to a team to be at its strongest at even strength. Even thinking about this without numbers, it's intuitively true. Teams spend comparatively little time on special teams compared to the time they spend at even strength, so it only serves to reason that even strength would be more important.
The first item of order is to explain what I mean by even-strength goal ratios. In essence, it's the number of even strength goals for divided by the even strength goals against. Specifically, this is in 5-on-5 play, not 4-on-4 or 3-on-3. Thankfully, NHL.com has this information right on their stats page, called 5-5 F/A.
Using that information and correlating it to regular season points gives us a correlation coefficient of 0.81, which is in the "why doesn't anyone other than statheads ever talk about this" realm. That is, it's of utterly vital importance to a team's success. It's obvious, right? Giving up fewer goals than you score during the vast majority of the time in the game is probably a good idea.
For those of you who are more visual, here comes another scatterplot:
via pghsports.wordpress.com (click for larger image)
So, visually, as strong as the PP% trend was, this one is even more tightly defined with very few outlying data points to qualify with statements like, "Team X managed to score a lot of points despite being a poor even-strength team." That isn't to say it's perfect, again; the 2006-2007 Montreal Canadiens managed to score 90 points with a putrid 0.75 EV F/A. That they missed the playoffs by a hair is irrelevant in this case, and the odd result can be explained by their league-leading 22.75 PP% and league leading 17 shorthanded goals, shared with Ottawa.
With all that out of the way, the Penguins' current EV F/A mark is 1.14. That's right in line with the other Cup winners since the lockout. Carolina had 1.02 (which is probably lower than you'd expect for a Cup winner), Anaheim 1.12, and Pittsburgh 1.18. Detroit's the only oddball here with an EV F/A at an insane 1.41, but then again, they seem to do that every single season. Last year was the first time they didn't post a crazy number like that, and just look what happened!
As we've seen lately, though, life for the Penguins is not all a bowl of cherries. Why not? If I can successfully crunch my next set of numbers, there will be more to follow.
EDIT: Because a couple people asked for it, here's the scatterplot again with the playoff teams in blue and the lottery teams in green.
via pghsports.wordpress.com (click for larger image)
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great post Justin! It would also be interesting to separate this scatter plot to see the teams that made the playoffs with their F/A ratios and the teams that didnt make the playoffs. It may may make your point even stronger!
Okay, done. Very little overlap between the two sets of information points-wise, but there’s significant EV F/A overlap right at that playoff/lottery threshold.
Do you see?
I actually thought it would be close to this. draw a line directly down the middle, and that is where the playoff picture is. Not hard to figure out as 90 is pretty much the cut-off point. But if you take the next step, I would bet that if you look at the teams under EV F/A of 1, that made the playoffs, that you would find them to be in the top 10 in PP % and most likely in the top 10 in SH goals. How else could they have scored that many points? A lot of ties? And Vice versa for the non-playoff teams over 1.
Interesting. That might be enough for a post on its own. I’ll have to look into that for later this week.
Food for thought on this post Justin. Special teams comes into play for teams #’s 4 through 8 playoff seeds in most cases. The best teams dominate 5 on 5 and therefore earn a berth being well above the “90 point plateau.” The lower seeds get in because their special teams are better.
You mentioned the SC winners in the regular season, but did this change in the playoffs? Are the special teams truly more important in the playoffs when refs typically put their whistles away for marginal calls? Any chance of a playoffs graph?
So, what you’re getting at—if I’m understanding you correctly—is that a metric that somehow combines EV F/A and PP%, most likely weighted, would be a better indication than either of the ones I’ve posted so far. I’m sure you’re right, but that’s likely not something I’m going to be able to knock out in an afternoon with any semblance of accuracy. Doesn’t mean I won’t try. :)
As far as your second paragraph…yeah, I’m sure it changes in the playoffs. The problem is that at most a team would have 34% of the games played during the regular season. I don’t think a team’s ever played four 7-game series in the playoffs, though, so it would be even less than that, making the sample size maybe too small to mean much. Take, for example, the Thrashers in 2007. That’s the only time they’ve made the playoffs. They played 4 games and had a EV F/A of 0.50. (Let’s not even talk about Calgary’s 0.27 from that same year. God awful, and they managed to win two games!)
I don’t know that you need to weight it, but it would be more accurate. Any way to get each teams times, in minutes, of 5 on 5, PP (5/4 and 5/3), PK (4/5 and 3/5), 4 on 4 and 3 on 3? Excel could sort this pretty easily and plot your grid if you can. Goals for/goals against*% of time on each. Then to get really crazy, you could break it down by player and become Ray Shero’s assistant!! Dude, you truly are awesome!
Er, at any rate, I meant to finish that comment by saying that yes, I can do a playoff graph. I expect it to have a wider range of data, and I also expect the trend not to be as tight as the one in this post.
You are right. The sample size will be too small. When looking at the individual series, is the other teams EV F/A has to be the inverse of the other, correct? I.E. .50 for one (1/2) is 2 for the other? (2/1). So the team that calgary played outscored them roughly 4 to 1? Way too small a sample size considering these numbers.
Can’t seem to reply to Nut or Ulf, so I just wanted to tell you to reload the article if you’ve had this open for a while. I’ve updated with the requested scatterplot.
sometimes the load time on an ad can slow the comment function. I think that’s since been taken care of.
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thx!
Thanks Justin! I was expecting something like this, but also was wondering how the correlation coefficients would change. Out of all the teams that made the playoffs, it seems only about 11-12 of them have EV F/A lower than 1. As Ulf said they are probably high ranked in power play and short handed. Great work!

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