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Expected Shots-For and Shots-Against at Different Zone Starts

Here's something I've been farting around with a little bit...there's a good number of articles on Zone Starts and Corsi and Balanced Corsi (which takes into account Zone Starts).  Eric T. over at Broad Street Hockey's done some excellent things with it, worth looking at here.  JLikens has also done a similar exercise at his excellent site, Objective NHL, as has Matt Fenwick at The Battle of Alberta.  In all these cases, the data creates an abstract number that is a bit disconnected from how a large portion of the NHL audience views the results of a game.  I like to look at things a little differently, less in terms of the Corsi Number and more in terms of shots-for and shots-against per 60 minutes, because it fits my intuitive mind a bit better.  When I see a Corsi Number, or the difference of shots-for and blocked shots-against minus shots-against and blocked shots-for, it doesn't click quite the same as if I saw that, when a player's performance was stretched over a total game, the team would have 30 shots to the opposing team's 25. 

Star-divide

What we know for sure (as Eric T. was bearing out with the above post) is that a player's Zone Start% has a pretty good correlation with their Corsi Number at 5v5, with a sizable chunk of the variance due to player skill and luck.  It also has a good correlation with shots-for/against differential at 5v5 (0.44), in fact very close to the "best" indicator used by a lot of the stats analysts, the Fenwick number (0.45, though really they use the away score-tied Fenwick nowadays, which could be higher).  It helps to understand just how steep of a hill our guys like Jim Slater (26% offensive zone start percentage in October) have to climb versus Evander Kane (71.2%)(be sure to follow that link for the rest of the Jets), and so I aim to give us a sense of the league averages at key Zone Start markers culled from the last four NHL seasons (2007-08 through 2010-11).  I only included players that had played at least 20 games, which provided me with 2,689 player performance to derive these numbers.

Be sure to have a look at Eric T.'s comment below for some nifty Corsi articles from the statistical blog Driving Play.

 

All data was taken from behindthenet.ca, Gabe's great resource if you're looking to do similar work.

The data gave me these predictive equations for 5-on-5 play (make sure Offensive Zone Start is expressed XX.X and not 0.XXX):

Shots-for/60 = (Offensive Zone Start Percentage * 0.1668) + 18.07

Shots-against/60 = (Offensive Zone Start Percentage * -0.137) + 33.643

Or, if you'd prefer to eyeball it:

Zone S% SF/60 SA/60
25 22.2 30.2
30 23.1 29.5
35 23.9 28.8
40 24.7 28.2
45 25.6 27.5
46 25.7 27.3
47 25.9 27.2
47.5 26.0 27.1
48 26.1 27.1
48.5 26.2 27.0
49 26.2 26.9
49.5 26.3 26.9
50 26.4 26.8
50.5 26.5 26.7
51 26.6 26.7
51.5 26.7 26.6
52 26.7 26.5
52.5 26.8 26.5
53 26.9 26.4
54 27.1 26.2
55 27.2 26.1
60 28.1 25.4
65 28.9 24.7
70 29.7 24.1
75 30.6 23.4

One thing to keep in mind: I'm not adjusting for the quality of competition or teammates, though I'm not so sure that it detracts from what I'm doing too much.

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Driving Play has also done an excellent series looking at the impact of where/when a player’s shift starts.

It starts here, with the overall look at average result based on shift location/timing and then tables of each team’s numbers can be found here.

Then here they propose a way to use it to adjust a player’s actual results based on his usage. And here they discuss a very similar alternative approach that they rejected.

by Eric T. on Nov 15, 2011 9:42 AM EST reply actions  

What about performing these adjustments at the counting-stat level, then bringing it back into rate form at the end?

Lumping the last four seasons together I found a pretty solid regression for Net Corsi (counting stat of For events – Against) of 1.1 per marginal non-neutral zone start, so I’ve been taking the counting-stat Corsi numbers and adjusting by 1.1 for every net zone start in either direction, then taking that back into a rate stat.

For example:

Jerred Smithson: 16 GP, 11.9 TOI, -39.56 Corsi/60
48 Offensive Zone Starts, 129 Defensive

Total Net Corsi = -104 (the rate times total ice time/60)
Net Zone Starts = -81 (129 – 48)
Adjustment = +89.1 (give him credit for 1.1 Corsi events per each extra defensive-zone start)
Adjusted Net Corsi = -14.9
Adjusted Corsi/60 = -5.00

I’ve just never been very comfortable with Zone Start being expressed as a percentage comparing just offensive & defensive, as it may not distinguish between guys who get more all-purpose usage (and thus more Neutral Zone starts) than specialists.

Not sure if it’s worth anything, but that’s how I’m looking at it…

Managing Editor of On the Forecheck, SB Nation's blog covering the Nashville Predators, and founder of Hockey Gear HQ, a site devoted to helping you save on hockey equipment, accessories, and NHL apparel.

by Dirk Hoag on Nov 15, 2011 1:51 PM EST reply actions  

That's a pretty nifty approach

I sense that I might have a revision of this post in the not-too-distant future. Thanks for the suggestion.

Co-Manager at Arctic Ice Hockey

Want Jets historical stats, Gabe Desjardins metrics, Jets prospect scouting reports, player previews, and old school photos from the WHA days? Get your copy of the First Commemorative Maple Street Press Winnipeg Jets Annual for 2011-12 here.

by Bettman's Nightmare on Nov 15, 2011 2:05 PM EST up reply actions  

1.1 seems high. I thought the findings were .8, not 1.1

Writer at Beyond the Box Score and The Hardball Times
Pitchf/x enthusiast.
http://twitter.com/#!/garik16

by garik16 on Nov 15, 2011 2:06 PM EST up reply actions  

See the objective NHL post linked above for the .8 number.

Writer at Beyond the Box Score and The Hardball Times
Pitchf/x enthusiast.
http://twitter.com/#!/garik16

by garik16 on Nov 15, 2011 2:11 PM EST up reply actions  

The 0.8 came from this and this, I’m not sure how large a sample size was being used to come up with that number.

I got 1.1 by regressing the Total Net Corsi for all player seasons over the last 4 years against Net Zone Starts. R-squared was around 0.31.

Those numbers didn’t hardly budge when I limited it to players with >41 GP in a given season, as well.

Managing Editor of On the Forecheck, SB Nation's blog covering the Nashville Predators, and founder of Hockey Gear HQ, a site devoted to helping you save on hockey equipment, accessories, and NHL apparel.

by Dirk Hoag on Nov 15, 2011 2:16 PM EST up reply actions  

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