SDI v2.1 - Shut Down Index 2012-13 - Part 2

This giant monster from Boston is really good at shutting down Kessel (amongst others) - Abelimages

The 2nd part of the analysis of SDI v2.1 discusses specific outcomes for the Leafs, shows you the top players from the past 6 years, and links to the data set for the entire NHL for you to explore for yourself.

So yesterday I posted Part 1 of this year's release of SDI (v2.1). Generally the gist of the re-introduction and re-calibration of the statistic revolved around the idea that I was switching away from Corsi QoC and QoT statistics on the Behind The Net site to Team CA20 and Opp CF20 statistics from stats.hockeyanalysis.com. The main logic behind this being that the latter site's data sets strip out ice time involving the player being analyzed and thus mitigate against the impacts they would make on the input values for their expected results.

Questions

The posting yesterday led to some questions in the discussion section and on twitter which I would like to address. Some wondered if SDI correlates more highly to subsequent seasonal data than a player's CA20 or Team CA20. The correlation for individual players for all 3 values are shown in the chart below - using data for defenders who played 3000+ mins of 5v5 TOI during a 3 year sample from 2007-10 and another 3000+ mins of 5v5 TOI from 2010-13.

3000+ vs 3000+ R R^2
SDI 0.632 0.399
CA20 0.412 0.170
Team CA20 0.392 0.154

As you can see, the correlation and predictive power for SDI is far higher than that for CA20 or Team CA20 independently. SDI is basically accounting for 40% of its own future outcome while CA20 and Team CA20 only give you 15-17% of the information you need to predict them going forward.

This isn't to say SDI is perfect - obviously it's still far away from telling you EXACTLY how a player is likely to perform defensively in the future, but it's an improvement over our current methods of assessing defensive performance on the basis of Corsi events against irrespective of usage.

Another discussion point raised the idea of whether SDI is a better predictor of Raw Corsi Against than CA20 is itself. The reason I am not responding with the relevant data in this case is because it seems illogical to me to assess the predictive power of SDI vs. a raw stat that is used as an input value to SDI.

The whole purpose of SDI is to assess defensive performance on a Corsi event against basis while factoring in player usage. If we compare it to results that again ignore usage, the meaning of the stat is in many ways lost. Obviously if a player's usage changes, their Corsi events against are going to change.

If they play with worse line mates or against tougher opponents or they get more Defensive Zone Faceoffs - they're GOING to have more Corsi events against. If their ice time conversely gets easier, they should see fewer events against. The question I'm trying to answer is - does a prior SDI result predict future SDI results - that is - do we know who should CONTINUE to outperform or under-perform defensively in comparison to their usage. Largely I feel the aforementioned correlations indicate the fact that SDI has significant power in this area.

The Fun Stuff

Ok - so all of the lead up discussion and responses to questions finally brings us to the part most of you are waiting for. The actual information on who is good and who isn't based on this measure. Before I throw up more charts and data I'd like to just present the equation I used to perform the analysis.

1.127443*(Team CA20) + 0.537060*(Opp CF20) + 0.137217*(DZFO%) - 15.949396

This resulted from a multivariate regression analysis using the three variables I mentioned in the prior posting. The co-efficients have been rounded to fit them into the posting - but if you wish to re-calculate the values I'm guessing that 6 decimal places should be sufficient.

The Top 20 Shut Down D Men

So here's where we get into it - the top 20 Active NHL Defenders in terms of SDI Score, who have played over 3000+ mins in the past 6 seasons, while being put on the ice for Defensive Zone faceoffs over 30% of the time in 5v5 situations.

Rank Player Name Team TOI TMCA20 OppCF20 DZFO% CA20 Expected CA SDI Score
1 CHARA, Z BOS 8023:46:00 18.081 18.161 32.4 16.666 18.635 1.969
2 SARICH, C CGY 5430:46:00 17.809 17.565 30 16.038 17.679 1.641
3 SUTER, R MIN 7653:13:00 17.869 17.877 33.6 16.806 18.408 1.602
4 SUBBAN, P.K. MTL 3261:14:00 18.532 18.202 31.4 17.447 19.029 1.582
5 TYUTIN, F CBJ 7010:10:00 17.577 17.861 30.4 16.137 17.631 1.494
6 WEBER, S NSH 7374:44:00 17.815 17.908 34.5 17.21 18.488 1.278
7 ROBIDAS, S DAL 7146:58:00 17.985 17.855 33.1 17.286 18.459 1.173
8 HEDMAN, V TBL 4282:27:00 18.435 18.148 32.9 17.943 19.096 1.153
9 GREENE, M LAK 5103:03:00 17.572 17.562 31.5 16.469 17.616 1.147
10 COBURN, B PHI 7155:41:00 18.983 17.983 31.3 18.341 19.406 1.065
11 HAMHUIS, D VAN 7243:25:00 17.53 17.811 32.8 16.829 17.881 1.052
12 TIMONEN, K PHI 6207:31:00 18.992 18.027 30.3 18.333 19.302 0.969
13 VISNOVSKY, L NYI 6522:03:00 18.648 17.783 30.3 17.832 18.783 0.951
14 ZIDLICKY, M NJD 6160:41:00 17.653 17.789 30.2 16.816 17.651 0.835
15 GUNNARSSON, C TOR 3519:16:00 19.237 18.111 33.3 19.282 20.035 0.753
16 METHOT, M OTT 4834:04:00 17.39 17.863 30.9 16.773 17.490 0.717
17 FRANSON, C TOR 3196:02:00 18.332 17.747 32.4 18.091 18.696 0.605
18 MCDONAGH, R NYR 3191:59:00 18.034 18.259 33.3 18.158 18.758 0.600
19 WEAVER, M FLA 5554:33:00 17.534 17.945 33.9 17.589 18.108 0.519
20 FISTRIC, M EDM 3665:51:00 17.912 17.588 30.1 17.328 17.821 0.493

This list contains a few surprises. For instance - Cody Franson is in the top 20 defensively? I personally have regularly taken issue with Franson's defensive efforts during his tenure in Toronto so far - but based on his usage he appears to be getting the job done effectively. It also makes one wonder how the hell the Leafs plan on surviving the possibility of trading him away following the arbitration case for Mark Fraser.

It also seems quite surprising that the Leafs are one of only two teams with multiple players on this list. This is a result of a few things. Firstly, the Leafs start in their own zone A LOT - like far more than most teams do. Secondly, the two guys on the list are really the only two notable and active Leafs D men that aren't well into the negatives over the past 6 years (actually Liles isn't that bad either, but he's not playing much these days). Carl Gunnarsson and Franson are our best "defenders" - and it's not really close. Dion Phaneuf has improved, and he does add offensive skills, but he's got a long way to go to improve on how horrible he was early in his career in Calgary. Having looked into this more - I've slowly begun to push towards the "trade Phaneuf to keep Franson" side of things... I'm not sure it's going to work out that way (in fact I doubt it will) but it's not as unbelievable an idea as I thought it was prior to this analysis.

All of that being said, I think it should also be pointed out that players in the range of 3000 minutes are still likely to regress quite a bit back towards the NHL average score of 0.000. The guys we can be more certain about defensively are the ones who are up above the 5000+ minute mark. The true stoppers of the NHL would be in this range consistently, and this list has 13 guys in that group. These defenders have effectively demonstrated that they are the guys to lean on in tough situations.

Which brings me to the another list for discussion and debate...

The Worst 20 Shut Down D Men

These are the worst 20 Defenders who have played 3000+ minutes of 5v5 TOI in the past 6 seasons while facing off in the defensive zone over 30% of the time. You would expect them, based on their linemates and usage to perform a certain way - they're all doing well worse than expected.

Rank Player Name Team TOI TMCA20 OppCF20 DZFO% CA20 Expected CA SDI Score
80 BALLARD, K VAN 6028:30:00 18.199 17.745 34.2 19.232 18.792 -0.440
81 HANNAN, S SJS 7399:36:00 17.989 17.739 32.5 18.852 18.319 -0.533
82 GLEASON, T CAR 6640:39:00 18.613 17.949 33.2 19.769 19.231 -0.538
83 SALVADOR, B NJD 5413:48:00 16.072 18.009 30.5 16.595 16.028 -0.567
84 SALO, S TBL 4753:58:00 17.225 17.77 30.9 17.829 17.254 -0.575
85 ZANON, G COL 6813:46:00 17.633 17.712 35.7 18.95 18.342 -0.608
86 SEIDENBERG, D BOS 6856:55:00 17.988 17.922 31.8 18.956 18.320 -0.636
87 KOMISAREK, M TOR 4450:54:00 18.76 17.879 34.4 20.167 19.524 -0.643
88 O'BYRNE, R TOR 4566:16:00 18.403 17.808 35 19.832 19.165 -0.667
89 MARKOV, A MTL 4212:16:00 18.571 17.981 33 19.904 19.173 -0.731
90 ERSKINE, J WAS 3892:50:00 17.626 17.75 30.1 18.393 17.586 -0.807
91 GIRARDI, D NYR 7769:03:00 17.428 18.072 30.9 18.504 17.645 -0.859
92 MORRIS, D PHX 6441:10:00 17.998 17.725 30 18.944 17.978 -0.966
93 BUTLER, C CGY 4116:28:00 17.858 17.941 32 19.215 18.211 -1.004
94 KLESLA, R PHX 4732:59:00 17.237 17.841 32.8 18.61 17.567 -1.043
95 BOGOSIAN, Z WPG 4952:41:00 18.052 18.087 33.4 19.775 18.700 -1.075
96 MCBAIN, J CAR 3182:25:00 19.004 17.924 30 20.4 19.219 -1.181
97 SCHENN, L PHI 5720:58:00 18.636 17.933 30.2 20.105 18.837 -1.268
98 DALEY, T DAL 7138:20:00 17.252 17.684 30.4 18.848 17.170 -1.678
99 WHITNEY, R EDM 5184:49:00 18.272 17.773 30.3 20.074 18.354 -1.720
100 JOHNSON, J CBJ 6796:16:00 16.913 17.714 32.2 19.731 17.051 -2.680

Again - some surprises confront people on this list. General perception is that the likes of Bryce Salvador, Dennis Seidenberg, Dan Girardi, and Zach Bogosian are solid defensively. Unfortunately (for their fans - and the GM's signing them to long term deals) they really aren't. Bogosian is an unfortunate case in particular as Winnipeg just extended him for another 7 years (OUCH!) with a contract that includes a No Movement Clause (double ouch!).

I have regularly argued that the likes of Seidenberg and Girardi are relatively over-rated, and this analysis bears that out. Similarly, Mike Komisarek and Ryan O'Byrne show up in approximately the same vicinity impact wise defensively - and yet nobody in New York or Boston would ever think twice about throwing these guys on the ice.

The other interesting point of discussion here is the fact that defense partners can obviously end up at opposite ends of the spectrum. Markov and Subban are a study in contrasts, likewise Girardi and McDonagh. The reality is, one of the two players in these pairings is getting the job done defensively, and the other guy isn't. Consider these tables food for thought.

Lastly I will link to the data most of you have been clamouring for. Please click on the links below to access google spread sheets that are searchable and sortable by individual player, team and each of the component statistics. Each workbook contains separate sheets for the seasons you'll be looking for so check the tabs at the bottom.

SDI v2.1 - 6 Year Data

SDI v2.1 - 2 Year Data

SDI v2.1 - 1 Year Data

Again - questions are welcome, so throw them in the comments section or direct them to me on Twitter. Discussion is encouraged.

Trending Discussions

forgot?

As part of the new SB Nation launch, prior users will need to choose a permanent username, along with a new password.

I already have a Vox Media account!

Verify Vox Media account

As part of the new SB Nation launch, prior MT authors will need to choose a new username and password.

We'll email you a reset link.

Try another email?

Almost done,

By becoming a registered user, you are also agreeing to our Terms and confirming that you have read our Privacy Policy.

Join Pension Plan Puppets

You must be a member of Pension Plan Puppets to participate.

We have our own Community Guidelines at Pension Plan Puppets. You should read them.

Join Pension Plan Puppets

You must be a member of Pension Plan Puppets to participate.

We have our own Community Guidelines at Pension Plan Puppets. You should read them.