© 2014 Michael Parkatti 1297500567533_ORIGINAL

The Impact of Winning Faceoffs in Different Zones

In my piece from earlier this week, I tried to calculate what kind of impact a player’s on-ice faceoff percentage (FO%) has on his overall even strength Corsi, along with his zone starts (ZS%).   I found that on-ice faceoff percentage has a highly statistically significant impact on a player’s Corsi% — about a 0.4% increase in Corsi% for every 1% increase in on-ice faceoff percentage.  It’s clear that players who play with good faceoff men will have their Corsi% buoyed beyond what you’d normally expect with merely an average faceoff man.

After writing that piece I appeared on Lowetide’s show, where he asked about where it’s most important to win a faceoff.  I think hockey orthodoxy would suggest that it’s most important to win faceoffs in either the defensive or offensive zones.  ”Critical defensive zone faceoff” is kind of a regular term you hear during an NHL broadcast.  But during my answer to Lowetide, I recalled a post that Tyler Dellow had done last year showing how important faceoffs are in each zone, and one of his charts on neutral zone play especially stuck with me .  I encourage you to read his post, but hopefully Tyler won’t mind if I recreate one of his charts here:

10090444613_b74eb48c0a_o

This shows that winning a neutral zone faceoff (NZ+) gives your team a massive advantage in Corsi% that lasts beyond 20 seconds of play (it actually gives you a 3 to 1 shot advantage for a dozen seconds of play).  The gap between these two lines was much more significant than the gap between the lines for offensive or defensive zone draws.

So on Lowetide’s show I was surmising, contrary to popular belief, that a player’s neutral zone on-ice faceoff percentage (NFO%) would be much more impactful on overall game play and thus his Corsi% than the other zones.  Of course I was just pulling opinions out of my ass, and I wanted to actually test this.

In my last post I also incorrectly stated that ExtraSkater.com was the only place to get on-ice faceoff percentage numbers (but still, thanks for putting it on your site!) — Eric T. let me know that BehindtheNet has included these stats for years and I just hadn’t noticed.  What’s more, BtN actually includes on-ice faceoff wins and losses by zone.  This makes it easy to test my curiousities to see if neutral zone draws actually do have an outsized impact on a player’s Corsi%.

My dataset included every player to play at least 41 games in the 2013-14 season, or 568 players in total.  I collected each player’s 5on5 Corsi%, zone start%, offensive zone on-ice faceoff %, neutral zone on-ice faceoff %, and defensive zone on-ice faceoff %.  The results actually astonished me:

FO1

We see that these 4 explanatory variables can explain about 39.4% of the variability in Corsi%.  But look at the variables at the bottom.  To pass a 95% test of significance, a variable’s P-value needs to be under 0.05.  Zone starts is the most significant variable, but check out face off percentage by zone.  Neutral zone faceoffs are just miles and miles more important than end zone faceoffs.  In fact, offensive zone face off percentage isn’t even a significant variable, with a P-value of 0.66, way higher than the 0.05 required.  Defensive zone faceoffs have a P-value of 0.03, so they seem to be significant, but not nearly of the the same importance as neutral zone faceoffs in impacting a player’s Corsi%.

So, let’s throw offensive zone faceoffs out of our model to concentrate on the important stuff:

FO2

What this model is telling us is that for every 1% increase in a player’s neutral zone faceoff percentage, his overall Corsi% is expected to go up 0.34%, while every 1% increase in a player’s defensive zone faceoff percentage is expected to increase his Corsi% by 0.08%.  It helps to imagine a difference between a player getting 40% FO% and 60% FO% — if a player’s netural zone on-ice FO% increases from 40% to 60%, with everything else remaining constant, I’d expect his Corsi% to increase by 6.8%.

So why is this?  Why is orthodoxy totally wrong about the relative importance of end zone vs neutral zone faceoffs?  To me, this experiment is one more exhibit of evidence of why controlling neutral zone play has such importance on game play.  End zone faceoffs are important simply because of where they are.  The team in the offensive end has a temporal advantage in Corsi no matter if they win or lose the faceoff — the heavy lifting was already done for them.  If they win the faceoff, they generate a shot, or if they lose the faceoff they have an opportunity to go get it back and generate a shot.  Either way, they’re in no danger of giving up a shot themselves, as it’s impossible.

But this is not so for neutral zone faceoffs.  Whichever team wins one of those has the luxury of dictating play for the next 30 seconds or so.  They can casually draw back into their own zone to set up a breakout play, or their possession may afford a quick strike into the offensive zone.  I would bet that a team losing a neutral zone draw naturally assumes a defensive posture, perhaps giving real estate that a team losing a defensive zone draw simply does not have the luxury of giving up.

To end, I’ll include a full list of players included in my experiment ranked by their adjusted Corsi — basically their residual Corsi% after normalizing them for the effects of zone starts and faceoff effects using the 2nd model above.  This is what portion of their Corsi% is unexplained after accounting for these variables.  Now, there are other very significant factors in adjusting Corsi%, such as quality of player factors, but for now I just want to show just how influential these 2 pieces of data (ZS% and FO%) working in tandem are

Rank Name Team Pos ZS% Neu FO% Def FO% Off FO% Corsi% PredCF% AdjCF%
1 Anze Kopitar L.A C 53.7% 50.0% 60.4% 51.5% 61.0% 51.8% 9.2%
2 Patrice Bergeron BOS C 46.0% 61.9% 58.6% 54.8% 61.2% 53.1% 8.1%
3 Jake Muzzin L.A D 58.0% 50.8% 54.7% 47.8% 61.1% 53.1% 8.0%
4 Mark Giordano CGY D 44.1% 43.4% 49.5% 44.6% 53.3% 45.4% 7.9%
5 Brandon Bollig CHI RW 18.2% 61.2% 52.3% 53.9% 50.9% 43.0% 7.9%
6 Marcus Kruger CHI C 20.9% 60.1% 53.2% 48.8% 51.4% 43.6% 7.8%
7 Andy Greene N.J D 48.1% 49.0% 47.9% 41.7% 56.3% 48.6% 7.7%
8 Anton Volchenkov N.J D 48.1% 47.0% 44.0% 44.3% 55.0% 47.6% 7.4%
9 Joe Thornton S.J C 47.5% 55.3% 56.4% 52.4% 58.3% 51.2% 7.1%
10 Tyler Toffoli L.A RW 58.0% 52.8% 49.7% 53.7% 60.4% 53.3% 7.1%
11 David Backes STL C 46.8% 50.2% 50.5% 50.0% 55.5% 48.7% 6.8%
12 Marc-Edouard Vlasic S.J D 48.5% 55.3% 56.3% 47.5% 58.2% 51.5% 6.7%
13 Alexander Steen STL C 49.4% 52.8% 49.3% 48.7% 57.1% 50.4% 6.7%
14 Justin Williams L.A RW 56.0% 53.7% 62.1% 49.5% 60.6% 54.0% 6.6%
15 Anton Stralman NYR D 50.9% 47.9% 58.1% 46.2% 56.5% 49.9% 6.6%
16 Drew Doughty L.A D 54.9% 51.9% 53.5% 49.9% 58.5% 52.3% 6.2%
17 Dwight King L.A LW 54.1% 52.0% 56.4% 53.4% 58.5% 52.3% 6.2%
18 Mark Fayne N.J D 47.6% 51.2% 48.6% 44.4% 55.3% 49.2% 6.1%
19 TJ Brodie CGY D 41.9% 46.0% 48.7% 45.5% 51.5% 45.5% 6.0%
20 Josh Bailey NYI C 46.2% 42.4% 57.6% 45.8% 52.4% 46.4% 6.0%
21 Stephen Gionta N.J LW 41.4% 43.4% 43.3% 34.5% 49.9% 44.0% 5.9%
22 Brian Boyle NYR C 23.4% 49.8% 54.1% 55.8% 46.9% 41.0% 5.9%
23 Ben Smith CHI RW 26.4% 59.5% 53.6% 58.9% 51.1% 45.3% 5.8%
24 Brock Nelson NYI C 49.3% 43.0% 54.5% 40.9% 53.2% 47.4% 5.8%
25 Derek Stepan NYR C 51.8% 41.5% 50.7% 43.0% 53.1% 47.5% 5.6%
26 Justin Braun S.J D 44.7% 51.5% 54.1% 49.4% 54.2% 48.7% 5.5%
27 Marc Staal NYR D 48.4% 48.1% 56.8% 49.1% 54.4% 49.0% 5.4%
28 Chris Kreider NYR LW 57.2% 42.7% 53.1% 44.2% 55.2% 49.9% 5.3%
29 Kimmo Timonen PHI D 55.2% 44.2% 53.1% 46.5% 55.0% 49.7% 5.3%
30 Joe Pavelski S.J LW 47.5% 54.9% 57.2% 54.9% 56.4% 51.1% 5.3%
31 Patrik Elias N.J LW 57.3% 42.2% 48.6% 37.5% 54.6% 49.4% 5.2%
32 Rick Nash NYR RW 54.9% 43.0% 50.5% 44.4% 54.2% 49.0% 5.2%
33 T.J. Oshie STL LW 49.5% 50.5% 49.5% 53.4% 54.5% 49.7% 4.8%
34 Mike Cammalleri CGY C 47.7% 42.2% 46.6% 45.0% 50.8% 46.0% 4.8%
35 Matt Frattin NYI LW 45.2% 50.8% 45.6% 43.5% 52.8% 48.0% 4.8%
36 Derek Dorsett NYR RW 33.1% 54.0% 55.2% 55.8% 50.5% 45.8% 4.7%
37 Sean Bergenheim FLA LW 50.5% 49.8% 57.4% 42.6% 55.1% 50.4% 4.7%
38 Jeff Carter L.A C 54.9% 51.2% 55.2% 53.6% 56.8% 52.2% 4.6%
39 Travis Zajac N.J C 53.5% 57.8% 54.2% 49.9% 58.5% 53.9% 4.6%
40 Bryan Little WPG C 49.7% 47.2% 46.1% 41.9% 52.9% 48.3% 4.6%
41 Logan Couture S.J C 46.0% 50.9% 53.3% 43.9% 53.5% 48.9% 4.6%
42 Dustin Brown L.A RW 54.2% 55.0% 56.3% 50.0% 57.9% 53.3% 4.6%
43 Jaromir Jagr N.J RW 58.2% 55.2% 55.2% 48.3% 59.2% 54.7% 4.5%
44 Jaden Schwartz STL C 52.2% 54.3% 50.8% 50.0% 56.5% 52.0% 4.5%
45 Dominic Moore NYR C 25.1% 55.8% 55.0% 52.3% 48.2% 43.7% 4.5%
46 Adam Henrique N.J C 52.2% 45.5% 43.7% 40.7% 52.9% 48.4% 4.5%
47 Mikael Backlund CGY C 47.1% 46.5% 46.3% 45.0% 51.7% 47.2% 4.5%
48 Michael Frolik WPG LW 51.5% 45.4% 50.0% 38.7% 53.0% 48.6% 4.4%
49 Michael Ryder N.J RW 52.2% 47.1% 43.8% 44.4% 53.3% 49.0% 4.3%
50 Andrej Sustr T.B D 46.7% 44.0% 45.6% 50.0% 50.5% 46.2% 4.3%
51 Blake Comeau CBJ RW 46.0% 50.4% 53.0% 57.4% 53.0% 48.7% 4.3%
52 Vladimir Tarasenko STL RW 61.5% 51.6% 46.6% 50.4% 58.1% 53.9% 4.2%
53 Patrick Marleau S.J C 46.5% 50.6% 52.3% 45.3% 53.1% 48.9% 4.2%
54 Ryan McDonagh NYR D 47.2% 44.6% 50.0% 44.3% 51.1% 46.9% 4.2%
55 Scottie Upshall FLA RW 49.8% 43.8% 52.0% 45.4% 51.8% 47.6% 4.2%
56 Damien Brunner N.J RW 59.2% 43.6% 31.7% 43.3% 53.3% 49.2% 4.1%
57 Antoine Roussel DAL LW 41.3% 53.3% 50.9% 51.1% 52.1% 48.0% 4.1%
58 Calvin de Haan NYI D 48.4% 47.0% 49.8% 46.6% 52.2% 48.1% 4.1%
59 Andrew Ladd WPG LW 51.6% 46.7% 47.1% 42.1% 52.9% 48.9% 4.0%
60 Tom Gilbert FLA D 47.7% 46.1% 51.6% 43.7% 51.7% 47.7% 4.0%
61 Brendan Smith DET D 55.1% 45.8% 48.8% 47.6% 53.9% 49.9% 4.0%
62 Dougie Hamilton BOS D 52.2% 54.7% 53.2% 49.5% 56.3% 52.3% 4.0%
63 Tomas Kopecky FLA RW 46.6% 47.2% 55.5% 46.7% 52.0% 48.0% 4.0%
64 Alex Pietrangelo STL D 52.3% 50.6% 52.9% 53.1% 54.9% 50.9% 4.0%
65 David Schlemko PHX D 50.7% 47.8% 54.9% 49.2% 53.5% 49.6% 3.9%
66 David Booth VAN LW 45.0% 49.4% 54.0% 52.2% 52.0% 48.1% 3.9%
67 James Wisniewski CBJ D 49.8% 51.2% 52.8% 53.3% 54.1% 50.3% 3.8%
68 Jesse Winchester FLA C 43.6% 51.1% 50.5% 50.7% 51.7% 48.0% 3.7%
69 Matt Read PHI RW 42.9% 45.8% 54.2% 49.1% 49.9% 46.2% 3.7%
70 Nick Leddy CHI D 63.3% 48.2% 47.8% 48.8% 57.1% 53.4% 3.7%
71 Brent Burns S.J D 50.3% 58.9% 57.5% 52.1% 57.1% 53.4% 3.7%
72 Frans Nielsen NYI C 47.1% 43.5% 57.4% 47.8% 50.7% 47.1% 3.6%
73 Brad Marchand BOS C 55.1% 63.0% 53.5% 52.2% 59.8% 56.2% 3.6%
74 Dmitry Orlov WSH D 50.1% 44.3% 49.0% 43.9% 51.3% 47.7% 3.6%
75 Henrik Zetterberg DET C 48.9% 51.1% 50.0% 50.9% 53.3% 49.7% 3.6%
76 Clarke MacArthur OTT LW 49.9% 51.6% 53.8% 44.4% 54.1% 50.5% 3.6%
77 Willie Mitchell L.A D 51.8% 53.8% 53.8% 55.9% 55.5% 51.9% 3.6%
78 Kyle Chipchura PHX C 40.4% 53.8% 53.1% 48.3% 51.6% 48.0% 3.6%
79 Pavel Datsyuk DET C 56.4% 50.4% 51.6% 53.8% 55.7% 52.1% 3.6%
80 Michael Grabner NYI RW 45.0% 47.0% 53.3% 45.8% 50.8% 47.3% 3.5%
81 Teddy Purcell T.B C 56.2% 45.7% 46.9% 52.3% 53.6% 50.1% 3.5%
82 Tommy Wingels S.J C 49.5% 49.2% 50.2% 48.2% 52.8% 49.3% 3.5%
83 Steve Bernier N.J RW 50.0% 50.6% 44.8% 34.9% 53.0% 49.5% 3.5%
84 Brian Campbell FLA D 49.6% 48.7% 51.3% 43.6% 52.7% 49.2% 3.5%
85 Jason Demers S.J D 50.9% 53.5% 52.6% 45.4% 54.9% 51.4% 3.5%
86 Dan Girardi NYR D 46.1% 44.4% 49.9% 43.5% 49.9% 46.5% 3.4%
87 Jay Bouwmeester STL D 51.2% 50.4% 52.4% 52.7% 53.8% 50.4% 3.4%
88 Chris Kelly BOS C 44.4% 49.3% 57.4% 44.0% 51.5% 48.2% 3.3%
89 Aleksander Barkov FLA C 51.2% 44.9% 55.3% 42.1% 52.1% 48.8% 3.3%
90 Peter Regin CHI C 47.2% 51.2% 51.0% 44.1% 52.6% 49.3% 3.3%
91 Patrick Maroon ANA LW 56.5% 46.3% 53.1% 47.6% 54.2% 50.9% 3.3%
92 Zdeno Chara BOS D 48.1% 57.5% 53.4% 50.9% 55.2% 51.9% 3.3%
93 Benoit Pouliot NYR C 57.8% 47.2% 56.3% 43.0% 55.1% 51.9% 3.2%
94 Ryan Carter N.J C 46.6% 50.8% 40.6% 35.6% 51.3% 48.1% 3.2%
95 Kyle Turris OTT C 48.1% 51.3% 51.5% 44.2% 52.8% 49.6% 3.2%
96 Nikita Kucherov T.B RW 52.3% 51.0% 47.6% 46.2% 53.8% 50.6% 3.2%
97 Patrick Marleau COL LW 57.2% 41.1% 61.0% 44.7% 53.1% 49.9% 3.2%
98 Michal Rozsival CHI D 65.4% 53.8% 43.1% 44.0% 58.8% 55.7% 3.1%
99 Ryan Garbutt DAL C 43.9% 52.8% 48.5% 48.1% 51.6% 48.5% 3.1%
100 Dainius Zubrus N.J C 51.0% 52.7% 50.3% 44.5% 54.1% 51.0% 3.1%
101 Jordan Nolan L.A RW 58.9% 42.1% 50.5% 40.9% 53.1% 50.0% 3.1%
102 Brent Seabrook CHI D 56.2% 55.0% 52.6% 51.9% 56.8% 53.7% 3.1%
103 J.T. Brown T.B LW 49.4% 48.8% 45.3% 48.8% 51.8% 48.7% 3.1%
104 Jon Merrill N.J D 55.7% 47.4% 47.6% 45.5% 53.6% 50.5% 3.1%
105 Jakub Voracek PHI RW 59.5% 46.2% 56.7% 51.7% 55.2% 52.1% 3.1%
106 Evander Kane WPG C 54.0% 43.1% 47.6% 42.7% 51.5% 48.5% 3.0%
107 Dylan Olsen FLA D 53.1% 42.8% 47.9% 46.0% 51.1% 48.1% 3.0%
108 James Neal PIT LW 57.9% 50.2% 49.8% 41.5% 55.4% 52.4% 3.0%
109 Scott Hartnell PHI RW 59.5% 44.2% 56.4% 47.3% 54.3% 51.4% 2.9%
110 Jarret Stoll L.A C 52.6% 55.0% 59.2% 54.0% 55.9% 53.0% 2.9%
111 Marco Scandella MIN D 42.4% 48.1% 51.9% 51.0% 49.5% 46.7% 2.8%
112 Mike Santorelli VAN C 43.2% 52.4% 44.0% 54.5% 50.6% 47.8% 2.8%
113 Daniel Sedin VAN LW 60.0% 52.3% 52.6% 47.8% 56.9% 54.1% 2.8%
114 Mikko Koivu MIN C 60.1% 50.7% 49.2% 57.1% 56.1% 53.3% 2.8%
115 Ryan Stanton VAN D 51.3% 50.2% 51.3% 55.9% 53.1% 50.3% 2.8%
116 Loui Eriksson BOS LW 59.2% 57.3% 54.4% 49.5% 58.4% 55.7% 2.7%
117 Corey Perry ANA RW 50.3% 50.9% 51.0% 43.1% 52.9% 50.2% 2.7%
118 Mark Barberio T.B D 52.9% 48.4% 52.9% 42.9% 53.0% 50.4% 2.6%
119 Patrik Berglund STL C 55.9% 51.3% 49.6% 51.0% 54.7% 52.1% 2.6%
120 Zack Kassian WPG D 49.9% 46.4% 48.6% 41.2% 50.9% 48.3% 2.6%
121 Zach Parise MIN LW 61.7% 46.9% 51.9% 55.7% 55.3% 52.8% 2.5%
122 Johnny Boychuk BOS D 49.9% 57.1% 54.3% 44.8% 55.0% 52.5% 2.5%
123 Alec Martinez L.A D 56.3% 54.2% 56.1% 54.3% 56.3% 53.8% 2.5%
124 Cody Eakin DAL C 49.3% 47.5% 50.6% 47.3% 51.2% 48.7% 2.5%
125 Andrew Shaw CHI C 67.9% 46.6% 47.2% 46.0% 56.9% 54.4% 2.5%
126 Ryane Clowe N.J LW 50.0% 50.2% 43.5% 47.8% 51.8% 49.3% 2.5%
127 Shawn Matthias VAN C 43.6% 45.6% 45.9% 41.6% 48.2% 45.7% 2.5%
128 Dmitry Kulikov FLA D 48.3% 48.1% 52.8% 42.8% 51.2% 48.7% 2.5%
129 Andrei Markov MTL D 43.0% 48.4% 51.8% 51.0% 49.4% 46.9% 2.5%
130 Matt Stajan CGY C 39.1% 48.4% 46.0% 55.2% 47.6% 45.2% 2.4%
131 Braydon Coburn PHI D 48.4% 47.4% 55.0% 46.4% 51.1% 48.7% 2.4%
132 Artem Anisimov CBJ C 44.2% 51.1% 50.3% 46.4% 50.6% 48.2% 2.4%
133 Gustav Nyquist DET C 53.2% 53.7% 50.0% 49.4% 54.5% 52.1% 2.4%
134 Erik Gudbranson FLA D 50.3% 46.4% 52.7% 45.8% 51.2% 48.8% 2.4%
135 Darren Helm DET C 52.7% 50.5% 45.1% 51.9% 52.8% 50.4% 2.4%
136 Jordan Staal CAR C 50.3% 54.4% 54.5% 56.7% 54.0% 51.7% 2.3%
137 Mats Zuccarello NYR RW 58.5% 46.2% 52.4% 46.1% 53.8% 51.5% 2.3%
138 Marian Gaborik L.A LW 54.3% 49.7% 60.4% 45.0% 54.2% 51.9% 2.3%
139 Jonathan Huberdeau FLA C 52.8% 45.8% 43.6% 41.0% 51.0% 48.7% 2.3%
140 Duncan Keith CHI D 56.4% 56.5% 53.3% 51.7% 56.6% 54.3% 2.3%
141 Mike Weaver MTL D 43.4% 47.7% 52.4% 48.6% 49.1% 46.9% 2.2%
142 Sean Couturier PHI C 42.6% 48.3% 53.8% 49.8% 49.1% 46.9% 2.2%
143 Niklas Hjalmarsson CHI D 48.3% 55.1% 53.3% 50.6% 53.3% 51.1% 2.2%
144 Cal Clutterbuck NYI RW 45.1% 46.0% 49.8% 42.9% 48.8% 46.7% 2.1%
145 Brandon Saad CHI LW 63.7% 53.5% 50.7% 47.8% 57.7% 55.6% 2.1%
146 Thomas Hickey NYI D 51.4% 44.5% 52.8% 45.9% 50.6% 48.5% 2.1%
147 Jonathan Toews CHI C 63.9% 56.4% 58.3% 55.3% 59.3% 57.2% 2.1%
148 Trevor Daley DAL D 49.8% 47.0% 53.2% 46.4% 50.9% 48.8% 2.1%
149 Carl Soderberg BOS C 55.5% 47.5% 48.1% 41.0% 52.6% 50.6% 2.0%
150 Sidney Crosby PIT C 51.4% 52.6% 48.8% 49.2% 53.0% 51.0% 2.0%
151 Nick Foligno CBJ LW 48.0% 50.2% 51.1% 45.8% 51.2% 49.2% 2.0%
152 Marian Hossa CHI RW 61.9% 54.5% 56.5% 53.4% 57.8% 55.8% 2.0%
153 Olli Jokinen WPG C 46.8% 45.8% 50.0% 37.8% 49.2% 47.2% 2.0%
154 Alex Killorn T.B C 52.4% 47.5% 50.6% 53.0% 51.7% 49.7% 2.0%
155 Adam Pardy WPG D 58.7% 47.1% 50.6% 42.4% 53.7% 51.7% 2.0%
156 Eric Gryba OTT D 43.1% 54.1% 51.5% 55.7% 50.9% 48.9% 2.0%
157 Erik Karlsson OTT D 55.8% 52.5% 53.5% 45.9% 54.8% 52.8% 2.0%
158 Kevin Shattenkirk STL D 58.2% 52.3% 48.3% 47.2% 55.1% 53.1% 2.0%
159 Tobias Enstrom WPG D 51.5% 45.6% 49.3% 42.2% 50.6% 48.6% 2.0%
160 Matt Donovan NYI D 53.8% 52.1% 52.0% 47.6% 53.8% 51.9% 1.9%
161 Rob Klinkhammer PHX LW 50.5% 54.1% 56.1% 50.4% 53.7% 51.8% 1.9%
162 Jeff Halpern PHX C 34.3% 56.1% 55.9% 53.9% 48.9% 47.0% 1.9%
163 Scott Gomez FLA C 46.5% 45.2% 44.9% 46.2% 48.4% 46.5% 1.9%
164 Victor Hedman T.B D 56.1% 50.6% 50.1% 52.7% 53.9% 52.0% 1.9%
165 Brandon Dubinsky CBJ C 45.5% 55.7% 51.9% 49.2% 52.2% 50.3% 1.9%
166 Jannik Hansen VAN RW 46.7% 53.4% 51.8% 51.6% 51.8% 49.9% 1.9%
167 Eric Brewer T.B D 49.3% 47.4% 47.9% 47.3% 50.3% 48.4% 1.9%
168 Nate Thompson T.B C 45.5% 51.9% 53.6% 52.2% 51.0% 49.1% 1.9%
169 Chris Phillips OTT D 47.0% 52.6% 53.2% 49.2% 51.7% 49.8% 1.9%
170 James Sheppard S.J C 50.8% 52.0% 49.5% 42.7% 52.5% 50.6% 1.9%
171 Eric Tangradi WPG C 54.7% 50.6% 55.7% 49.2% 53.8% 52.0% 1.8%
172 Tomas Plekanec MTL C 38.0% 43.7% 52.1% 47.8% 45.5% 43.7% 1.8%
173 Vladimir Sobotka STL C 49.3% 64.1% 57.1% 58.3% 56.7% 54.9% 1.8%
174 Bryan Bickell CHI LW 69.0% 52.3% 40.9% 47.8% 58.0% 56.2% 1.8%
175 Matt Niskanen PIT D 49.5% 55.4% 52.3% 48.4% 53.4% 51.6% 1.8%
176 Paul Byron CGY C 49.1% 47.1% 52.5% 44.4% 50.4% 48.6% 1.8%
177 Slava Voynov L.A D 55.4% 53.0% 58.4% 50.2% 55.0% 53.2% 1.8%
178 Valtteri Filppula T.B C 52.6% 49.9% 51.3% 48.9% 52.4% 50.6% 1.8%
179 Travis Hamonic NYI D 49.6% 46.5% 51.4% 45.0% 50.2% 48.5% 1.7%
180 Johnny Oduya CHI D 48.6% 55.1% 53.6% 49.4% 53.0% 51.3% 1.7%
181 Tomas Tatar DET C 60.6% 54.3% 47.8% 49.0% 56.3% 54.6% 1.7%
182 Robyn Regehr L.A D 52.1% 52.3% 56.7% 51.4% 53.4% 51.7% 1.7%
183 Steve Downie PHI LW 48.9% 45.8% 50.5% 50.8% 49.6% 47.9% 1.7%
184 Ryan Malone T.B LW 54.4% 42.3% 52.9% 49.7% 50.4% 48.8% 1.6%
185 Torrey Mitchell BUF C 35.2% 46.4% 56.4% 50.0% 45.6% 44.0% 1.6%
186 Nathan Gerbe CAR C 45.7% 55.3% 51.4% 51.9% 51.8% 50.2% 1.6%
187 Alex Goligoski DAL D 49.1% 49.1% 51.6% 47.1% 50.8% 49.2% 1.6%
188 Christopher Tanev VAN D 44.0% 55.0% 53.4% 51.0% 51.2% 49.7% 1.5%
189 Matt Bartkowski BOS D 53.2% 52.2% 51.5% 45.5% 53.2% 51.7% 1.5%
190 Sami Vatanen ANA D 54.1% 52.0% 51.2% 53.5% 53.4% 51.9% 1.5%
191 Jacob Trouba WPG D 47.7% 46.9% 45.1% 42.9% 49.0% 47.5% 1.5%
192 Ryan Getzlaf ANA C 48.5% 50.5% 52.7% 42.4% 51.1% 49.6% 1.5%
193 Justin Faulk CAR D 51.5% 50.9% 47.2% 51.7% 51.8% 50.3% 1.5%
194 Mark Stuart WPG D 46.6% 43.5% 47.5% 39.8% 47.6% 46.1% 1.5%
195 Ryan Johansen CBJ C 45.1% 51.6% 55.6% 49.3% 50.5% 49.0% 1.5%
196 Claude Giroux PHI RW 55.6% 49.0% 56.5% 52.2% 53.2% 51.7% 1.5%
197 Riley Sheahan DET C 65.8% 52.0% 40.0% 49.0% 56.4% 55.0% 1.4%
198 Barret Jackman STL D 50.7% 54.1% 51.7% 50.9% 52.9% 51.5% 1.4%
199 Mike Richards L.A C 58.0% 51.6% 52.7% 51.8% 54.6% 53.2% 1.4%
200 Niklas Kronwall DET D 50.9% 51.3% 50.6% 51.4% 51.9% 50.5% 1.4%
201 Alexandre Burrows VAN RW 61.3% 52.3% 53.9% 54.3% 56.0% 54.6% 1.4%
202 Matt Nieto S.J LW 50.8% 51.3% 51.0% 50.6% 51.9% 50.5% 1.4%
203 Dustin Byfuglien WPG D 51.5% 47.6% 45.3% 43.0% 50.4% 49.0% 1.4%
204 Brad Richardson VAN RW 32.8% 56.6% 54.7% 52.5% 47.9% 46.5% 1.4%
205 Colin Greening OTT C 45.6% 53.4% 51.8% 48.7% 50.9% 49.5% 1.4%
206 Henrik Sedin VAN C 60.3% 52.1% 55.6% 51.3% 55.7% 54.3% 1.4%
207 David Krejci BOS C 53.9% 50.0% 52.8% 46.2% 52.6% 51.2% 1.4%
208 Nick Bjugstad FLA C 52.7% 45.9% 53.6% 46.8% 50.8% 49.5% 1.3%
209 Yannick Weber VAN D 48.3% 47.6% 56.2% 43.4% 50.1% 48.8% 1.3%
210 Sami Salo T.B D 53.9% 49.1% 50.2% 52.4% 52.0% 50.7% 1.3%
211 P.K. Subban MTL D 47.1% 49.6% 50.4% 49.2% 49.9% 48.6% 1.3%
212 Marcel Goc PIT C 41.3% 56.2% 57.9% 50.8% 50.8% 49.5% 1.3%
213 Brenden Dillon DAL D 47.9% 50.9% 54.4% 49.9% 50.9% 49.6% 1.3%
214 Alexander Semin CAR LW 58.9% 53.6% 49.8% 51.9% 55.2% 54.0% 1.2%
215 Jimmy Hayes FLA RW 48.3% 43.3% 42.6% 38.6% 47.5% 46.3% 1.2%
216 Andrej Sekera CAR D 51.5% 50.7% 47.6% 51.0% 51.5% 50.3% 1.2%
217 Alexander Edler VAN D 50.6% 53.6% 50.4% 49.7% 52.4% 51.2% 1.2%
218 Zack Smith OTT C 42.2% 55.7% 49.5% 52.6% 50.2% 49.0% 1.2%
219 Andrei Loktionov CAR C 62.9% 49.8% 49.0% 41.3% 55.1% 53.9% 1.2%
220 Jussi Jokinen PIT LW 58.0% 53.0% 52.5% 45.1% 54.8% 53.6% 1.2%
221 Patrick Sharp CHI RW 64.9% 52.3% 56.6% 51.8% 57.2% 56.0% 1.2%
222 Matt Cooke MIN RW 34.2% 49.7% 48.5% 52.3% 45.3% 44.2% 1.1%
223 Brad Boyes FLA RW 50.5% 48.2% 56.9% 41.7% 50.9% 49.8% 1.1%
224 Tyler Seguin DAL C 58.7% 45.9% 49.7% 44.1% 52.3% 51.2% 1.1%
225 Mark Scheifele WPG C 52.5% 42.9% 42.6% 40.8% 48.6% 47.5% 1.1%
226 Jared Spurgeon MIN D 52.4% 51.6% 50.5% 51.2% 52.2% 51.1% 1.1%
227 Marcus Johansson WSH C 52.5% 40.4% 49.8% 46.8% 48.3% 47.2% 1.1%
228 Matt D’Agostini BUF RW 47.0% 42.1% 51.9% 46.3% 47.2% 46.1% 1.1%
229 Chris Higgins VAN LW 42.8% 56.6% 51.2% 56.0% 50.7% 49.6% 1.1%
230 Carl Hagelin NYR LW 62.4% 46.3% 60.5% 46.6% 54.5% 53.4% 1.1%
231 Gabriel Bourque NSH LW 53.1% 49.8% 57.0% 48.7% 52.3% 51.3% 1.0%
232 Brendan Gallagher MTL RW 50.2% 53.3% 50.7% 41.3% 52.0% 51.0% 1.0%
233 Chris Kunitz PIT LW 51.9% 52.3% 50.4% 50.5% 52.2% 51.2% 1.0%
234 Matt Calvert CBJ LW 46.0% 56.7% 53.9% 49.5% 52.0% 51.0% 1.0%
235 Kevin Bieksa VAN D 48.3% 53.5% 51.8% 53.7% 51.5% 50.5% 1.0%
236 Brad Stuart S.J D 49.8% 52.0% 51.4% 48.9% 51.4% 50.4% 1.0%
237 Tomas Fleischmann FLA LW 52.0% 48.8% 55.2% 45.8% 51.3% 50.4% 0.9%
238 Bobby Ryan OTT RW 52.1% 48.8% 51.8% 43.0% 51.1% 50.2% 0.9%
239 Jamie Benn DAL LW 57.1% 46.4% 51.1% 44.6% 51.9% 51.0% 0.9%
240 Teemu Selanne ANA RW 55.2% 46.7% 54.3% 52.7% 51.6% 50.7% 0.9%
241 Dan Hamhuis VAN D 45.2% 56.1% 53.6% 48.5% 51.4% 50.5% 0.9%
242 Mike Green WSH D 55.4% 48.1% 49.0% 43.9% 51.7% 50.8% 0.9%
243 Erik Condra OTT RW 53.4% 54.5% 54.9% 53.1% 53.7% 52.8% 0.9%
244 David Jones CGY LW 37.1% 49.1% 41.8% 55.8% 45.3% 44.4% 0.9%
245 Joel Ward WSH RW 45.4% 45.0% 50.9% 49.6% 47.4% 46.5% 0.9%
246 Jarome Iginla BOS RW 58.2% 50.3% 51.7% 46.0% 53.6% 52.7% 0.9%
247 Mika Zibanejad OTT C 57.3% 51.9% 51.4% 49.7% 53.8% 52.9% 0.9%
248 Mathieu Perreault ANA C 54.0% 47.7% 55.9% 53.5% 51.6% 50.7% 0.9%
249 Drayson Bowman CAR C 34.7% 49.8% 52.4% 53.1% 45.5% 44.6% 0.9%
250 Johan Franzen DET RW 53.8% 47.4% 53.6% 54.8% 51.2% 50.4% 0.8%
251 Erik Haula MIN LW 47.7% 45.4% 53.2% 48.7% 48.4% 47.6% 0.8%
252 Zack Kassian VAN RW 43.5% 56.7% 53.5% 52.8% 50.9% 50.1% 0.8%
253 Michael Raffl PHI LW 56.4% 48.3% 56.8% 51.9% 52.6% 51.8% 0.8%
254 Marek Zidlicky N.J D 59.2% 49.5% 48.6% 43.3% 53.3% 52.5% 0.8%
255 TJ Galiardi CGY LW 50.1% 48.2% 45.3% 42.6% 49.5% 48.7% 0.8%
256 Brian Gionta MTL RW 38.3% 46.3% 52.3% 51.8% 45.4% 44.7% 0.7%
257 Blake Wheeler WPG RW 53.9% 46.1% 43.1% 40.9% 49.9% 49.2% 0.7%
258 Patrick Wiercioch OTT D 54.9% 52.2% 53.0% 52.9% 53.1% 52.4% 0.7%
259 David Legwand DET C 49.0% 47.6% 53.0% 51.6% 49.5% 48.8% 0.7%
260 Magnus Paajarvi STL LW 51.8% 54.9% 54.7% 52.8% 53.1% 52.4% 0.7%
261 Clayton Stoner MIN D 44.0% 48.4% 45.8% 44.3% 47.5% 46.8% 0.7%
262 Chris Neil OTT RW 45.9% 55.6% 47.4% 50.8% 50.7% 50.0% 0.7%
263 Ryan Murray CBJ D 51.7% 51.7% 51.4% 53.0% 51.6% 51.0% 0.6%
264 Mark Streit PHI D 53.6% 45.4% 56.0% 50.4% 50.4% 49.8% 0.6%
265 Jakob Silfverberg ANA RW 49.5% 50.7% 55.5% 49.3% 50.8% 50.2% 0.6%
266 Martin Erat PHX RW 49.0% 48.9% 56.9% 39.5% 50.1% 49.5% 0.6%
267 Patrick Dwyer CAR RW 40.9% 53.2% 51.4% 55.3% 48.4% 47.9% 0.5%
268 Cam Fowler ANA D 49.3% 47.6% 50.0% 47.3% 49.2% 48.7% 0.5%
269 Jared Cowen OTT D 49.9% 51.8% 51.4% 49.4% 50.9% 50.4% 0.5%
270 Derick Brassard NYR C 60.1% 50.1% 49.2% 46.7% 53.5% 53.1% 0.4%
271 Nick Bonino ANA C 50.5% 47.9% 51.8% 47.5% 49.7% 49.3% 0.4%
272 Milan Lucic BOS LW 60.5% 49.9% 50.4% 46.3% 53.6% 53.2% 0.4%
273 Daniel Carcillo NYR LW 42.8% 57.7% 53.1% 55.7% 50.5% 50.2% 0.3%
274 Jonathan Ericsson DET D 51.3% 52.4% 55.2% 48.7% 51.7% 51.4% 0.3%
275 Brooks Laich WSH C 52.7% 42.6% 45.2% 42.3% 48.0% 47.7% 0.3%
276 Ryan Kesler VAN C 48.2% 58.2% 52.2% 51.3% 52.4% 52.1% 0.3%
277 Ben Lovejoy ANA D 48.0% 46.5% 51.2% 44.6% 48.2% 47.9% 0.3%
278 Kyle Clifford L.A LW 56.1% 56.0% 48.7% 50.5% 53.9% 53.7% 0.2%
279 Justin Abdelkader DET C 52.4% 49.7% 51.2% 49.3% 50.7% 50.5% 0.2%
280 Jordie Benn DAL D 49.0% 52.2% 53.2% 51.3% 50.5% 50.4% 0.1%
281 Marc Methot OTT D 52.1% 54.9% 50.8% 48.1% 52.3% 52.2% 0.1%
282 Fedor Tyutin CBJ D 43.3% 52.9% 55.7% 48.3% 49.0% 48.9% 0.1%
283 Eric Fehr WSH RW 47.2% 49.7% 53.1% 46.7% 49.0% 48.9% 0.1%
284 Tyler Johnson T.B C 52.1% 51.8% 48.4% 42.9% 51.0% 50.9% 0.1%
285 Evgeni Malkin PIT C 59.6% 50.2% 48.8% 42.5% 53.0% 52.9% 0.1%
286 Jason Garrison VAN D 46.5% 51.8% 48.9% 51.8% 49.1% 49.0% 0.1%
287 Kyle Brodziak MIN C 33.5% 49.6% 48.2% 52.3% 43.9% 43.9% 0.0%
288 Kris Versteeg CHI RW 61.7% 51.2% 51.3% 49.9% 54.2% 54.2% 0.0%
289 Kyle Quincey DET D 51.6% 48.8% 48.3% 52.0% 49.7% 49.7% 0.0%
290 Mikael Backlund MIN C 52.8% 51.7% 55.8% 49.4% 51.7% 51.7% 0.0%
291 Kyle Palmieri ANA C 51.7% 43.3% 53.0% 51.3% 48.2% 48.2% 0.0%
292 Craig Smith NSH C 52.5% 47.5% 59.2% 48.8% 50.4% 50.4% 0.0%
293 Dustin Penner WSH LW 49.1% 50.0% 48.9% 40.2% 49.3% 49.3% 0.0%
294 Mattias Ekholm NSH D 50.2% 49.4% 57.4% 49.2% 50.1% 50.2% -0.1%
295 Travis Moen MTL LW 39.4% 48.6% 51.5% 46.2% 45.7% 45.8% -0.1%
296 Ryan Carter MIN D 54.0% 50.9% 50.3% 53.3% 51.3% 51.4% -0.1%
297 Hampus Lindholm ANA D 53.0% 50.0% 55.9% 49.6% 51.1% 51.2% -0.1%
298 Bryan Allen ANA D 48.5% 50.9% 54.7% 42.2% 49.8% 49.9% -0.1%
299 Zemgus Girgensons BUF LW 47.4% 39.8% 43.3% 46.0% 44.7% 44.8% -0.1%
300 Brian Gibbons PIT C 53.6% 51.9% 44.0% 51.6% 51.0% 51.1% -0.1%
301 Adam Hall PHI LW 27.7% 53.0% 61.3% 58.1% 44.0% 44.1% -0.1%
302 Brandon Pirri FLA C 62.9% 44.0% 47.9% 41.9% 51.7% 51.8% -0.1%
303 Keith Ballard MIN D 43.4% 45.6% 51.1% 52.8% 45.9% 46.0% -0.1%
304 Daniel Briere MTL RW 44.1% 48.3% 51.5% 52.7% 47.1% 47.3% -0.2%
305 Tyler Kennedy S.J LW 49.0% 57.9% 53.5% 51.2% 52.2% 52.4% -0.2%
306 Jason Chimera WSH LW 43.9% 47.1% 51.5% 49.1% 46.6% 46.8% -0.2%
307 Scott Hannan S.J D 48.8% 52.0% 51.1% 46.4% 49.9% 50.1% -0.2%
308 Brad Richards NYR C 66.6% 46.0% 54.6% 49.5% 54.1% 54.3% -0.2%
309 Ron Hainsey CAR D 48.0% 55.2% 54.5% 53.7% 51.0% 51.2% -0.2%
310 Daniel Alfredsson DET RW 56.5% 49.1% 48.8% 50.3% 51.3% 51.5% -0.2%
311 Devin Setoguchi WPG RW 50.2% 47.6% 51.0% 43.0% 48.8% 49.0% -0.2%
312 Eric Gelinas N.J D 63.5% 48.5% 44.4% 43.0% 53.1% 53.3% -0.2%
313 Colin McDonald NYI RW 45.1% 49.3% 45.1% 43.8% 47.2% 47.4% -0.2%
314 Martin Marincin EDM D 45.3% 48.5% 51.7% 54.3% 47.5% 47.7% -0.2%
315 Joakim Andersson DET C 47.8% 52.5% 54.4% 44.4% 49.9% 50.1% -0.2%
316 Olli Maatta PIT D 50.8% 52.0% 51.7% 47.6% 50.5% 50.8% -0.3%
317 Matt Carkner NYI D 54.5% 45.5% 51.7% 41.3% 49.5% 49.8% -0.3%
318 Jason Pominville MIN LW 60.7% 49.4% 52.9% 52.6% 53.0% 53.3% -0.3%
319 David Moss PHX LW 54.6% 53.6% 51.8% 48.4% 52.3% 52.6% -0.3%
320 Nino Niederreiter MIN LW 56.7% 48.1% 41.5% 51.0% 50.3% 50.6% -0.3%
321 Drew Miller DET LW 45.4% 52.6% 51.3% 46.1% 48.8% 49.1% -0.3%
322 Krys Barch FLA RW 45.3% 40.4% 45.2% 29.9% 44.1% 44.4% -0.3%
323 Tuomo Ruutu N.J RW 60.0% 49.4% 47.6% 52.9% 52.3% 52.7% -0.4%
324 Nate Prosser MIN D 43.5% 47.8% 51.6% 46.2% 46.5% 46.9% -0.4%
325 Jakub Kindl DET D 57.5% 49.6% 48.5% 51.2% 51.6% 52.0% -0.4%
326 Martin St. Louis NYR RW 57.0% 46.6% 49.3% 44.3% 50.4% 50.8% -0.4%
327 Tyler Myers BUF D 41.5% 44.7% 49.0% 52.9% 44.5% 44.9% -0.4%
328 Radko Gudas T.B D 52.2% 46.9% 52.3% 45.7% 49.1% 49.6% -0.5%
329 Jeff Petry EDM D 43.0% 48.1% 55.9% 51.8% 46.7% 47.2% -0.5%
330 Max Pacioretty MTL LW 53.6% 53.2% 50.5% 45.7% 51.6% 52.1% -0.5%
331 Roman Josi NSH D 44.2% 52.6% 57.0% 49.8% 48.7% 49.2% -0.5%
332 Mark Pysyk BUF D 43.8% 46.8% 48.5% 41.5% 45.9% 46.4% -0.5%
333 Trevor Lewis L.A C 55.0% 57.5% 49.2% 47.2% 53.4% 53.9% -0.5%
334 Cam Atkinson CBJ RW 49.8% 55.1% 54.5% 48.7% 51.2% 51.7% -0.5%
335 Dan Boyle S.J D 52.5% 57.8% 54.1% 51.1% 53.0% 53.6% -0.6%
336 Torey Krug BOS D 66.2% 51.8% 53.0% 48.5% 55.4% 56.0% -0.6%
337 Lance Bouma CGY C 39.0% 44.9% 48.7% 46.2% 43.5% 44.1% -0.6%
338 Nikita Nikitin CBJ D 49.3% 49.3% 58.1% 49.8% 49.2% 49.9% -0.7%
339 Derek Morris PHX D 50.2% 52.5% 53.2% 45.8% 50.2% 50.9% -0.7%
340 Alex Chiasson DAL RW 55.7% 44.8% 54.6% 46.3% 49.5% 50.2% -0.7%
341 Boyd Gordon EDM C 20.0% 57.1% 60.0% 58.9% 42.1% 42.8% -0.7%
342 Paul Stastny COL C 46.7% 55.6% 55.0% 45.0% 50.2% 50.9% -0.7%
343 Raphael Diaz NYR D 50.5% 51.7% 49.6% 46.2% 49.7% 50.4% -0.7%
344 Radim Vrbata PHX RW 53.5% 53.1% 51.0% 46.6% 51.3% 52.0% -0.7%
345 Matt Frattin CBJ RW 57.2% 51.0% 63.5% 47.4% 52.8% 53.5% -0.7%
346 Viktor Stalberg NSH LW 48.9% 50.3% 51.1% 55.6% 48.8% 49.5% -0.7%
347 Ondrej Palat T.B LW 54.3% 51.4% 50.2% 42.8% 50.9% 51.7% -0.8%
348 Troy Brouwer WSH RW 49.4% 47.0% 51.0% 47.9% 47.8% 48.6% -0.8%
349 B.J. Crombeen T.B RW 48.0% 49.6% 53.4% 57.7% 48.4% 49.2% -0.8%
350 Ales Hemsky OTT RW 48.5% 52.3% 55.3% 47.6% 49.6% 50.4% -0.8%
351 Patrick Kane CHI RW 69.8% 49.6% 45.7% 49.2% 55.1% 55.9% -0.8%
352 Erik Johnson COL D 44.9% 49.5% 54.0% 43.5% 47.3% 48.1% -0.8%
353 Brett Bellemore CAR D 42.7% 54.7% 54.7% 54.7% 48.4% 49.2% -0.8%
354 Keith Yandle PHX D 54.8% 51.4% 53.0% 46.5% 51.2% 52.0% -0.8%
355 Jason Spezza OTT C 55.1% 53.2% 57.9% 51.4% 52.3% 53.1% -0.8%
356 Gabriel Landeskog COL LW 45.9% 53.1% 54.0% 44.4% 48.8% 49.7% -0.9%
357 Mikhail Grabovski WSH C 51.6% 53.7% 55.4% 50.4% 51.0% 51.9% -0.9%
358 Derek MacKenzie CBJ C 48.4% 51.9% 54.3% 61.4% 49.2% 50.2% -1.0%
359 Nicklas Grossmann PHI D 45.4% 49.4% 52.5% 49.9% 47.2% 48.2% -1.0%
360 Brayden Schenn PHI C 55.2% 43.5% 46.5% 39.8% 47.9% 49.0% -1.1%
361 Zbynek Michalek PHX D 44.4% 56.2% 52.8% 52.6% 49.1% 50.2% -1.1%
362 Daniel Winnik ANA LW 47.2% 50.3% 53.3% 44.9% 48.0% 49.1% -1.1%
363 Boone Jenner CBJ C 49.6% 54.1% 54.6% 47.2% 50.2% 51.3% -1.1%
364 Vernon Fiddler DAL C 43.1% 53.8% 57.2% 50.6% 48.1% 49.2% -1.1%
365 Justin Fontaine MIN LW 41.5% 50.8% 50.4% 48.3% 46.0% 47.1% -1.1%
366 Jake Gardiner TOR D 43.7% 49.5% 51.8% 45.0% 46.4% 47.6% -1.2%
367 Shea Weber NSH D 43.7% 53.3% 55.8% 51.4% 48.0% 49.2% -1.2%
368 Jack Johnson CBJ D 43.5% 54.2% 51.7% 48.1% 47.9% 49.1% -1.2%
369 Roman Polak STL D 46.4% 55.0% 55.0% 55.2% 49.4% 50.6% -1.2%
370 Phil Kessel TOR LW 44.8% 42.0% 51.8% 46.2% 44.1% 45.3% -1.2%
371 Ryan Smyth EDM LW 36.1% 53.3% 55.0% 55.1% 45.3% 46.5% -1.2%
372 Antoine Vermette PHX C 44.1% 54.4% 55.7% 55.6% 48.4% 49.7% -1.3%
373 Sheldon Brookbank CHI D 61.0% 48.7% 48.7% 47.3% 51.6% 52.9% -1.3%
374 Andrew Cogliano ANA C 48.5% 50.3% 52.2% 48.6% 48.2% 49.5% -1.3%
375 Tyson Barrie COL D 56.8% 47.8% 53.3% 41.2% 50.2% 51.5% -1.3%
376 Dalton Prout CBJ D 49.4% 54.2% 50.8% 48.7% 49.7% 51.0% -1.3%
377 Mason Raymond TOR LW 44.1% 44.6% 46.3% 44.8% 44.2% 45.6% -1.4%
378 Jesse Joensuu EDM RW 32.2% 52.5% 58.5% 54.7% 43.8% 45.2% -1.4%
379 Matt Moulson MIN LW 50.5% 45.6% 47.0% 43.7% 46.6% 48.1% -1.5%
380 Matt Cullen NSH C 48.1% 55.9% 62.0% 51.5% 50.5% 52.0% -1.5%
381 Ray Whitney DAL LW 56.6% 48.4% 55.8% 47.3% 50.3% 51.8% -1.5%
382 Matt Duchene COL C 49.8% 53.6% 49.4% 42.4% 49.3% 50.8% -1.5%
383 Francois Beauchemin ANA D 49.9% 52.0% 54.8% 47.9% 49.2% 50.7% -1.5%
384 David Desharnais MTL C 52.9% 53.3% 50.3% 43.8% 50.3% 51.8% -1.5%
385 Riley Nash CAR C 59.3% 49.8% 41.9% 46.5% 50.6% 52.1% -1.5%
386 John Mitchell COL C 43.7% 49.2% 52.0% 48.2% 45.9% 47.5% -1.6%
387 Christian Ehrhoff BUF D 47.1% 47.8% 44.8% 46.9% 46.0% 47.6% -1.6%
388 Eric Staal CAR C 62.3% 50.9% 48.1% 53.2% 52.4% 54.0% -1.6%
389 Alexei Emelin MTL D 39.9% 48.3% 54.2% 48.3% 44.4% 46.0% -1.6%
390 James van Riemsdyk TOR RW 47.0% 41.5% 51.4% 44.9% 44.2% 45.9% -1.7%
391 Lee Stempniak PIT LW 47.7% 51.0% 49.0% 48.8% 47.5% 49.2% -1.7%
392 Patric Hornqvist NSH LW 52.0% 55.7% 55.8% 45.5% 51.1% 52.8% -1.7%
393 Ryan Ellis NSH D 53.2% 52.5% 55.4% 49.4% 50.3% 52.1% -1.8%
394 Lars Eller MTL LW 43.7% 56.6% 51.3% 51.5% 48.2% 50.0% -1.8%
395 Nicklas Backstrom WSH C 57.2% 45.7% 54.2% 48.2% 49.2% 51.0% -1.8%
396 Cody Ceci OTT D 52.8% 55.6% 53.0% 46.3% 51.0% 52.8% -1.8%
397 Martin Hanzal PHX C 50.2% 55.4% 52.6% 51.0% 50.0% 51.8% -1.8%
398 Danny DeKeyser DET D 51.1% 52.2% 50.1% 54.2% 49.0% 50.8% -1.8%
399 Valeri Nichushkin DAL LW 54.6% 52.5% 56.7% 47.4% 50.8% 52.6% -1.8%
400 Daniel Cleary DET RW 52.0% 46.6% 49.2% 56.8% 47.3% 49.2% -1.9%
401 Marty Havlat S.J RW 58.7% 47.8% 53.3% 49.7% 50.3% 52.2% -1.9%
402 Tyler Bozak TOR C 41.0% 43.5% 54.4% 47.4% 42.9% 44.8% -1.9%
403 Tyler Ennis BUF C 48.8% 42.2% 39.2% 45.4% 43.9% 45.8% -1.9%
404 Oliver Ekman-Larsson PHX D 48.7% 55.1% 50.8% 50.6% 49.2% 51.1% -1.9%
405 Rene Bourque MTL LW 42.3% 51.0% 46.7% 47.0% 45.3% 47.2% -1.9%
406 Matt Beleskey ANA LW 52.8% 49.8% 57.1% 46.6% 49.2% 51.1% -1.9%
407 Shane Doan PHX RW 55.1% 53.8% 51.2% 46.1% 50.9% 52.8% -1.9%
408 Matt Irwin S.J D 50.5% 55.8% 53.4% 53.3% 50.2% 52.1% -1.9%
409 Nick Holden COL D 49.5% 50.4% 53.4% 50.0% 48.0% 49.9% -1.9%
410 Karl Alzner WSH D 49.8% 47.3% 52.9% 46.3% 47.0% 48.9% -1.9%
411 John Moore NYR D 63.1% 47.7% 52.7% 47.3% 51.6% 53.6% -2.0%
412 Derek Roy STL C 63.1% 48.1% 56.3% 50.0% 52.0% 54.0% -2.0%
413 Dale Weise MTL C 41.4% 48.2% 51.9% 48.7% 44.3% 46.3% -2.0%
414 Charlie Coyle MIN RW 55.7% 49.7% 42.3% 51.3% 48.9% 50.9% -2.0%
415 Saku Koivu ANA C 44.6% 51.1% 51.2% 51.3% 46.3% 48.3% -2.0%
416 Radek Dvorak CAR RW 31.6% 52.2% 56.7% 54.1% 42.7% 44.8% -2.1%
417 Michael Stone PHX D 54.8% 50.8% 53.9% 47.9% 49.8% 51.9% -2.1%
418 Cory Conacher BUF LW 54.5% 51.6% 49.2% 50.0% 49.6% 51.7% -2.1%
419 Manny Malhotra CAR C 21.0% 58.3% 59.4% 65.0% 41.4% 43.5% -2.1%
420 Mark Letestu CBJ C 47.9% 55.5% 52.9% 53.1% 49.0% 51.1% -2.1%
421 Matthew Carle T.B D 50.2% 49.7% 53.2% 48.0% 47.8% 49.9% -2.1%
422 Michal Handzus CHI C 61.2% 52.3% 45.4% 54.2% 51.8% 53.9% -2.1%
423 David Clarkson TOR RW 36.4% 47.8% 52.1% 48.0% 42.4% 44.5% -2.1%
424 Kyle Okposo NYI RW 62.0% 44.7% 52.8% 48.4% 50.0% 52.2% -2.2%
425 Alex Ovechkin WSH LW 59.0% 45.4% 53.8% 44.2% 49.3% 51.5% -2.2%
426 James Wright WPG C 52.3% 49.3% 45.7% 54.5% 47.7% 49.9% -2.2%
427 Ryan O’Reilly COL C 48.8% 53.9% 49.8% 43.8% 48.4% 50.6% -2.2%
428 Michael Bournival MTL C 43.1% 47.8% 45.3% 49.6% 44.0% 46.2% -2.2%
429 Robert Bortuzzo PIT D 48.9% 45.5% 48.6% 50.8% 45.4% 47.7% -2.3%
430 Milan Michalek OTT LW 57.5% 54.6% 54.7% 51.4% 51.9% 54.2% -2.3%
431 Michael Del Zotto NSH D 56.2% 52.4% 52.0% 44.9% 50.5% 52.8% -2.3%
432 Mike Ribeiro PHX C 71.7% 45.5% 46.8% 42.5% 52.9% 55.2% -2.3%
433 Paul Gaustad NSH C 27.5% 61.7% 59.4% 52.5% 44.5% 46.9% -2.4%
434 Cody Franson TOR D 42.4% 50.0% 51.5% 46.0% 44.9% 47.3% -2.4%
435 Tom Sestito VAN LW 42.7% 48.9% 51.4% 50.5% 44.6% 47.0% -2.4%
436 Maxime Talbot COL C 46.2% 45.0% 53.7% 48.8% 44.6% 47.0% -2.4%
437 John-Michael Liles CAR D 50.6% 54.4% 56.2% 49.1% 49.5% 51.9% -2.4%
438 Wayne Simmonds PHI RW 57.3% 46.5% 49.5% 40.5% 48.5% 50.9% -2.4%
439 Seth Jones NSH D 50.6% 55.4% 52.4% 49.4% 49.5% 51.9% -2.4%
440 Mikkel Boedker PHX LW 50.4% 52.6% 52.4% 52.8% 48.5% 50.9% -2.4%
441 Luke Glendening DET RW 49.5% 48.1% 47.0% 54.7% 46.2% 48.6% -2.4%
442 Keaton Ellerby WPG D 54.1% 48.9% 46.6% 42.9% 48.0% 50.4% -2.4%
443 John Carlson WSH D 50.4% 47.8% 54.1% 48.1% 46.9% 49.4% -2.5%
444 Zac Dalpe VAN C 42.2% 51.0% 47.2% 43.0% 44.7% 47.2% -2.5%
445 Cody Franson BUF C 44.1% 49.1% 50.1% 45.0% 44.9% 47.4% -2.5%
446 David Perron EDM RW 49.8% 44.8% 54.8% 50.6% 45.7% 48.2% -2.5%
447 Colin Wilson NSH C 54.6% 49.0% 51.9% 46.9% 48.5% 51.0% -2.5%
448 Paul Ranger TOR D 39.6% 46.0% 50.5% 47.9% 42.3% 44.9% -2.6%
449 Jonas Brodin MIN D 49.9% 49.5% 50.7% 55.0% 47.0% 49.6% -2.6%
450 Erik Cole DAL RW 53.6% 51.4% 56.0% 50.3% 49.3% 51.9% -2.6%
451 Ryan Jones EDM LW 34.0% 49.3% 61.5% 42.2% 42.4% 45.0% -2.6%
452 Anton Belov EDM D 48.0% 48.5% 55.1% 46.8% 46.3% 48.9% -2.6%
453 Eric Nystrom NSH RW 45.7% 50.9% 52.5% 49.8% 46.1% 48.8% -2.7%
454 Daniel Paille BOS LW 53.0% 50.4% 47.6% 49.0% 48.0% 50.7% -2.7%
455 Ryan Callahan T.B RW 59.9% 50.5% 52.7% 50.0% 50.7% 53.4% -2.7%
456 Jan Hejda COL D 44.0% 48.2% 53.3% 44.4% 44.6% 47.3% -2.7%
457 Nazem Kadri TOR C 49.3% 46.9% 45.2% 38.0% 45.3% 48.0% -2.7%
458 Mark Fraser EDM D 42.0% 43.1% 55.5% 43.2% 42.3% 45.1% -2.8%
459 Brooks Orpik PIT D 45.0% 52.1% 52.8% 49.7% 46.2% 49.0% -2.8%
460 RJ Umberger CBJ C 45.6% 52.0% 53.8% 50.8% 46.4% 49.2% -2.8%
461 Mike Fisher NSH C 44.5% 52.9% 54.6% 45.6% 46.4% 49.2% -2.8%
462 Jamie McGinn COL LW 51.6% 48.5% 50.9% 42.9% 47.0% 49.8% -2.8%
463 John Tavares NYI C 62.6% 44.7% 55.0% 49.6% 49.7% 52.5% -2.8%
464 Jiri Tlusty CAR LW 58.8% 54.8% 47.1% 53.2% 51.2% 54.1% -2.9%
465 Jordan Eberle EDM C 55.8% 42.5% 51.8% 47.7% 46.3% 49.2% -2.9%
466 Matt Ellis BUF C 40.1% 48.7% 50.4% 43.0% 43.0% 45.9% -2.9%
467 Todd Bertuzzi DET LW 53.8% 53.6% 53.2% 47.7% 49.5% 52.5% -3.0%
468 Jeff Skinner CAR C 66.7% 46.7% 50.9% 53.0% 51.2% 54.3% -3.1%
469 Ville Leino BUF LW 45.4% 46.7% 44.6% 46.9% 43.5% 46.6% -3.1%
470 Ian Cole STL D 50.0% 56.2% 53.8% 51.1% 49.0% 52.1% -3.1%
471 Nathan MacKinnon COL C 51.6% 49.3% 50.4% 40.1% 46.9% 50.0% -3.1%
472 Tim Gleason TOR D 39.4% 47.7% 50.0% 49.8% 42.2% 45.3% -3.1%
473 Alex Galchenyuk MTL C 50.5% 52.0% 49.6% 48.6% 47.4% 50.5% -3.1%
474 Josh Gorges MTL D 42.1% 53.5% 51.5% 48.0% 45.2% 48.4% -3.2%
475 Zenon Konopka BUF C 26.9% 59.6% 62.5% 63.4% 43.0% 46.2% -3.2%
476 Jay Harrison CAR D 54.2% 49.1% 53.9% 55.7% 47.9% 51.1% -3.2%
477 Francis Bouillon MTL D 46.2% 47.3% 44.6% 43.9% 43.8% 47.1% -3.3%
478 Sergei Gonchar DAL D 57.6% 48.9% 52.4% 46.9% 48.8% 52.1% -3.3%
479 Jiri Hudler CGY LW 56.5% 44.6% 49.2% 42.2% 46.7% 50.0% -3.3%
480 Luke Schenn PHI D 54.6% 48.4% 53.6% 47.5% 47.7% 51.0% -3.3%
481 Kevan Miller BOS D 61.0% 53.2% 49.4% 51.2% 51.1% 54.5% -3.4%
482 Matt Halischuk WPG C 55.7% 39.4% 50.0% 43.8% 44.5% 48.0% -3.5%
483 Brian Lashoff DET D 58.7% 53.3% 51.3% 47.7% 50.4% 53.9% -3.5%
484 David Savard CBJ D 47.1% 55.9% 55.6% 49.5% 47.7% 51.2% -3.5%
485 Cory Sarich COL D 50.1% 53.8% 53.5% 48.1% 47.8% 51.3% -3.5%
486 Morgan Rielly TOR D 47.9% 47.5% 48.6% 45.0% 44.5% 48.0% -3.5%
487 Dion Phaneuf TOR D 38.8% 44.6% 53.7% 47.1% 40.8% 44.4% -3.6%
488 Nikolai Kulemin TOR RW 34.9% 50.4% 51.3% 48.1% 41.3% 44.9% -3.6%
489 Dennis Wideman CGY D 62.2% 38.8% 43.9% 48.8% 45.9% 49.5% -3.6%
490 Casey Cizikas NYI C 45.1% 51.1% 51.5% 49.8% 44.9% 48.5% -3.6%
491 Andre Benoit COL D 48.6% 52.0% 54.1% 48.5% 46.6% 50.2% -3.6%
492 Andrew MacDonald PHI D 48.7% 45.5% 55.6% 48.9% 44.5% 48.1% -3.6%
493 Troy Bodie TOR RW 44.0% 48.0% 45.8% 39.8% 43.0% 46.7% -3.7%
494 Zac Rinaldo PHI LW 47.7% 51.7% 57.3% 56.4% 46.4% 50.1% -3.7%
495 Gregory Campbell BOS LW 48.9% 50.4% 48.2% 50.4% 45.6% 49.3% -3.7%
496 Rich Peverley DAL C 52.4% 57.1% 55.0% 53.8% 49.6% 53.3% -3.7%
497 Mark Arcobello EDM RW 47.7% 56.5% 59.7% 47.1% 48.1% 51.9% -3.8%
498 Mike Weber BUF D 42.8% 42.7% 43.8% 45.3% 40.4% 44.3% -3.9%
499 Joffrey Lupul TOR RW 41.8% 49.0% 47.8% 46.7% 42.5% 46.4% -3.9%
500 Joe Vitale PIT C 42.2% 49.7% 66.7% 57.0% 44.3% 48.3% -4.0%
501 Carl Gunnarsson TOR D 38.5% 44.4% 52.4% 45.2% 40.1% 44.1% -4.0%
502 Andrej Meszaros BOS D 56.5% 51.2% 49.0% 46.6% 48.2% 52.2% -4.0%
503 Chris Butler CGY D 42.0% 50.7% 44.5% 44.5% 42.8% 46.8% -4.0%
504 Brandon Sutter PIT C 41.1% 50.8% 49.7% 48.6% 42.9% 46.9% -4.0%
505 Joe Colborne CGY LW 50.8% 48.4% 50.5% 43.1% 45.4% 49.5% -4.1%
506 Marcus Foligno BUF LW 44.0% 48.1% 50.2% 43.4% 42.9% 47.0% -4.1%
507 Maxim Lapierre STL C 41.6% 55.8% 52.6% 53.9% 44.9% 49.1% -4.2%
508 Brandon Prust MTL C 40.7% 49.2% 51.0% 51.0% 42.2% 46.4% -4.2%
509 Matt Hendricks EDM C 26.8% 58.7% 62.4% 57.6% 41.6% 45.8% -4.2%
510 Victor Bartley NSH D 46.8% 48.2% 59.5% 49.7% 44.5% 48.8% -4.3%
511 Peter Holland TOR C 47.7% 45.1% 51.1% 48.0% 43.0% 47.3% -4.3%
512 Brenden Morrow STL LW 58.2% 51.0% 50.3% 49.6% 48.5% 52.9% -4.4%
513 Ryan Nugent-Hopkins EDM C 59.0% 41.0% 46.1% 42.7% 44.9% 49.3% -4.4%
514 Deryk Engelland PIT D 46.0% 49.8% 49.7% 43.0% 43.8% 48.3% -4.5%
515 Andrew Ference EDM D 45.6% 47.2% 52.3% 46.3% 42.9% 47.4% -4.5%
516 Shawn Horcoff DAL C 53.4% 56.1% 57.0% 54.3% 48.9% 53.5% -4.6%
517 Andrew Desjardins S.J C 51.9% 60.7% 57.3% 42.5% 50.0% 54.6% -4.6%
518 Sam Gagner EDM C 55.6% 42.8% 45.8% 50.8% 44.2% 48.8% -4.6%
519 Drew Stafford BUF RW 46.8% 47.6% 46.1% 47.3% 42.8% 47.5% -4.7%
520 Justin Schultz EDM D 46.4% 47.1% 51.7% 49.7% 42.9% 47.6% -4.7%
521 Rich Clune NSH LW 42.1% 61.8% 59.0% 47.6% 47.1% 51.8% -4.7%
522 Elias Lindholm CAR C 62.3% 50.4% 54.4% 50.0% 49.6% 54.3% -4.7%
523 Jay McClement TOR C 28.6% 52.3% 52.9% 54.1% 38.7% 43.5% -4.8%
524 Henrik Tallinder BUF D 46.5% 46.2% 51.2% 45.6% 42.5% 47.3% -4.8%
525 Richard Panik T.B C 52.4% 55.9% 57.5% 48.4% 48.3% 53.1% -4.8%
526 Ryan Murphy CAR D 62.0% 49.8% 49.7% 50.6% 48.8% 53.7% -4.9%
527 Kevin Klein NYR D 50.1% 52.7% 59.9% 47.6% 46.5% 51.5% -5.0%
528 Nick Spaling NSH C 49.6% 50.5% 56.9% 53.8% 45.3% 50.3% -5.0%
529 Brian Strait NYI D 48.5% 49.4% 53.9% 45.1% 44.3% 49.3% -5.0%
530 Brian Flynn BUF C 45.6% 45.2% 51.0% 46.1% 41.6% 46.7% -5.1%
531 Jamie McBain BUF D 42.9% 46.9% 46.0% 41.1% 40.8% 45.9% -5.1%
532 Corey Tropp CBJ RW 53.0% 52.6% 48.1% 52.7% 46.3% 51.5% -5.2%
533 Ladislav Smid CGY D 45.1% 45.4% 54.3% 43.9% 41.6% 46.8% -5.2%
534 Tom Wilson WSH RW 53.5% 47.8% 51.1% 43.8% 45.0% 50.2% -5.2%
535 Cody McCormick MIN RW 36.4% 45.5% 44.4% 53.5% 37.8% 43.1% -5.3%
536 Lauri Korpikoski PHX LW 49.7% 54.8% 55.8% 54.9% 46.4% 51.7% -5.3%
537 Chris Stewart BUF RW 59.0% 49.2% 55.0% 45.9% 47.5% 52.9% -5.4%
538 John Scott BUF D 45.7% 42.7% 44.1% 50.5% 39.9% 45.3% -5.4%
539 Dany Heatley MIN RW 54.1% 47.2% 50.2% 45.5% 44.5% 50.1% -5.6%
540 Thomas Vanek MTL LW 59.7% 48.8% 51.3% 51.4% 47.0% 52.7% -5.7%
541 Craig Adams PIT RW 38.2% 51.5% 54.7% 51.4% 40.8% 46.6% -5.8%
542 Cody McLeod COL LW 49.1% 44.4% 54.6% 43.4% 42.0% 47.8% -5.8%
543 Ryan White MTL C 28.7% 52.5% 49.7% 51.9% 37.5% 43.4% -5.9%
544 Taylor Hall EDM LW 57.9% 44.5% 48.4% 44.8% 44.4% 50.4% -6.0%
545 Sean Monahan CGY C 55.0% 45.6% 50.2% 40.8% 43.8% 49.9% -6.1%
546 Steve Ott STL C 49.4% 52.3% 53.7% 52.7% 44.5% 50.6% -6.1%
547 Jay Beagle WSH LW 49.1% 54.3% 50.3% 49.5% 44.8% 50.9% -6.1%
548 Kris Russell CGY D 52.3% 48.6% 45.0% 44.2% 43.5% 49.6% -6.1%
549 Vincent Lecavalier PHI C 58.2% 47.3% 50.0% 46.2% 45.3% 51.5% -6.2%
550 Taylor Pyatt PIT LW 42.0% 53.3% 57.3% 46.3% 42.4% 48.7% -6.3%
551 Tanner Glass PIT LW 38.0% 50.2% 49.7% 56.6% 39.3% 45.7% -6.4%
552 Shane O’Brien CGY D 54.2% 47.3% 52.8% 48.0% 44.0% 50.4% -6.4%
553 Nail Yakupov EDM RW 63.9% 41.7% 47.4% 46.3% 44.9% 51.3% -6.4%
554 Nick Schultz CBJ D 43.8% 51.1% 53.7% 45.3% 41.8% 48.3% -6.5%
555 Chris Thorburn WPG C 48.9% 51.9% 49.3% 45.5% 43.3% 49.9% -6.6%
556 Shawn Thornton BOS RW 65.4% 50.0% 43.3% 51.9% 47.7% 54.4% -6.7%
557 Ryan Reaves STL RW 52.3% 56.2% 50.8% 53.0% 45.9% 52.7% -6.8%
558 Nate Guenin COL D 56.7% 48.2% 50.2% 39.7% 44.5% 51.4% -6.9%
559 Anthony Peluso WPG RW 54.3% 53.7% 53.6% 52.4% 45.6% 52.7% -7.1%
560 Rob Scuderi PIT D 49.4% 54.8% 50.2% 44.5% 43.9% 51.2% -7.3%
561 Kevin Westgarth CGY C 57.7% 45.9% 42.4% 55.6% 42.7% 50.3% -7.6%
562 Marc-Andre Cliche COL RW 51.9% 43.7% 58.2% 46.5% 41.1% 48.8% -7.7%
563 Douglas Murray MTL D 50.0% 49.7% 45.9% 43.6% 41.4% 49.3% -7.9%
564 Mike Brown S.J LW 52.9% 60.1% 53.8% 47.1% 46.1% 54.5% -8.4%
565 Luke Gazdic EDM LW 52.5% 44.9% 47.4% 44.0% 36.8% 48.6% -11.8%
566 Brian McGrattan CGY RW 57.1% 47.8% 40.2% 42.6% 38.4% 50.6% -12.2%
567 Aaron Volpatti WSH LW 52.9% 52.6% 58.9% 45.1% 39.5% 52.3% -12.8%
568 Colton Orr TOR RW 45.9% 59.5% 63.7% 51.0% 39.1% 52.7% -13.6%

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