Midseason NY Rangers Stats: Scoring Chance Types
The midpoint in the season is always a good time to start reviewing what has happened and start looking towards the last half and the season the playoff push. We'll start that review looking at the types of chances each player has been on ice for, as we've looked at in the previous individual chance update . As I do with the regular summaries, I'll start with the goaltenders, which serves as a team summary.
Data (which does not include this past weekend) after the jump.
Chances For
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total |
| LUNDQVIST | 8 | 128 | 18 | 23 | 42 | 143 | 159 | 203 | 43.92% | 362 |
| BIRON | 1 | 33 | 2 | 7 | 16 | 41 | 41 | 59 | 41.00% | 100 |
| TOTAL | 9 | 161 | 20 | 30 | 58 | 184 | 200 | 262 | 43.29% | 462 |
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total |
| LUNDQVIST | 37.50% | 12.50% | 11.11% | 30.43% | 21.43% | 14.69% | 16.35% | 15.76% | 16.02% | |
| BIRON | 0.00% | 9.09% | 50.00% | 42.86% | 12.50% | 12.20% | 14.63% | 13.56% | 14.00% | |
| TOTAL | 33.33% | 11.80% | 15.00% | 33.33% | 18.97% | 14.13% | 16.00% | 15.27% | 15.58% |
Chances Against
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total |
| LUNDQVIST | 5 | 154 | 16 | 24 | 33 | 141 | 183 | 190 | 49.06% | 373 |
| BIRON | 1 | 29 | 7 | 8 | 14 | 49 | 38 | 70 | 35.19% | 108 |
| Total | 6 | 183 | 23 | 32 | 47 | 190 | 221 | 260 | 45.95% | 481 |
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total |
| LUNDQVIST | 0.00% | 10.39% | 25.00% | 20.83% | 15.15% | 5.67% | 11.48% | 8.95% | 10.19% | |
| BIRON | 100.00% | 10.34% | 28.57% | 37.50% | 7.14% | 8.16% | 18.42% | 10.00% | 12.96% | |
| Total | 16.67% | 10.38% | 26.09% | 25.00% | 12.77% | 6.32% | 12.67% | 9.23% | 10.81% |
*Legend: B = Breakaway, E = Even Man Rush/Transition, F = Faceoff, O = Odd Man Rush, T = Def. Zone Turnover, Z= Zone Pressure/Forecheck.
This data is for even strength only, excluding empty nets (5v5 and 4v4). The first chart in each group shows the number of chances with each goalie on the ice, while the second chart shows the percentage of those chances that resulted in goals. Now obviously, the goaltenders only have an effect on the bottom chart here, so that's where we'll concentrate. As Martin Biron noted in an interview with Craig Custance, he and Henrik Lundqvist expect to stop one out of six or seven scoring chances against. Here, it shows there's only 1 goal per 7.75 chances with Biron on ice, and Lundqvist 1 in 9.82.
This data includes missed nets of course, which goalies don't stop. Looking at just the chances on goal, we have 55 goals on 378 chances, or 1 goal every 6.87 chances, which is right where Biron says they should be. Biron himself is 14 goal on 80 chances (1 goal / 5.71 chances), while Lundqvist is at 1 in 7.27. No matter how you slice it, both players have been tremendous thus far, especially when you compare it to what the offense has done.
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total | Trans SH% | OZ SH% | Total % |
| ZUCCARELLO | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 100.00% | 1 | 0.00% | 0.00% | 0.00% |
| DEVEAUX | 0 | 6 | 0 | 0 | 0 | 3 | 6 | 3 | 66.67% | 9 | 50.00% | 33.33% | 44.44% |
| NEWBURY | 0 | 2 | 1 | 0 | 0 | 0 | 2 | 1 | 66.67% | 3 | 50.00% | 0.00% | 33.33% |
| RUPP | 0 | 9 | 0 | 0 | 1 | 4 | 9 | 5 | 64.29% | 14 | 33.33% | 0.00% | 21.43% |
| GABORIK | 8 | 68 | 9 | 15 | 20 | 65 | 91 | 94 | 49.19% | 185 | 15.38% | 13.83% | 14.59% |
| STEPAN | 7 | 62 | 8 | 13 | 19 | 61 | 82 | 88 | 48.24% | 170 | 15.85% | 12.50% | 14.12% |
| PRUST | 0 | 25 | 1 | 5 | 6 | 26 | 30 | 33 | 47.62% | 63 | 16.67% | 9.09% | 12.70% |
| ANISIMOV | 4 | 51 | 9 | 11 | 21 | 52 | 66 | 82 | 44.59% | 148 | 18.18% | 13.41% | 15.54% |
| RICHARDS | 4 | 49 | 9 | 11 | 20 | 60 | 64 | 89 | 41.83% | 153 | 12.50% | 17.98% | 15.69% |
| DUBINSKY | 1 | 39 | 9 | 9 | 9 | 51 | 49 | 69 | 41.53% | 118 | 12.24% | 21.74% | 17.80% |
| MITCHELL | 0 | 21 | 1 | 1 | 7 | 23 | 22 | 31 | 41.51% | 53 | 22.73% | 12.90% | 16.98% |
| HAGELIN | 0 | 28 | 0 | 1 | 12 | 33 | 29 | 45 | 39.19% | 74 | 10.34% | 15.56% | 13.51% |
| CALLAHAN | 1 | 41 | 9 | 12 | 22 | 57 | 54 | 88 | 38.03% | 142 | 14.81% | 17.05% | 16.20% |
| AVERY | 0 | 6 | 0 | 0 | 2 | 8 | 6 | 10 | 37.50% | 16 | 16.67% | 30.00% | 25.00% |
| CHRISTENSEN | 0 | 6 | 2 | 0 | 1 | 7 | 6 | 10 | 37.50% | 16 | 50.00% | 10.00% | 25.00% |
| FEDOTENKO | 2 | 27 | 1 | 4 | 14 | 48 | 33 | 63 | 34.38% | 96 | 15.15% | 14.29% | 14.58% |
| BOYLE | 0 | 27 | 1 | 5 | 14 | 48 | 32 | 63 | 33.68% | 95 | 15.63% | 12.70% | 13.68% |
| WOLSKI | 0 | 6 | 0 | 0 | 3 | 10 | 6 | 13 | 31.58% | 19 | 0.00% | 15.38% | 10.53% |
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total | Trans SH% | OZ SH% | Total % |
| ERIXON | 2 | 11 | 1 | 1 | 2 | 8 | 14 | 11 | 56.00% | 25 | 21.43% | 18.18% | 20.00% |
| EMINGER | 1 | 31 | 1 | 3 | 6 | 34 | 35 | 41 | 46.05% | 76 | 20.00% | 12.20% | 15.79% |
| MCDONAGH | 4 | 73 | 11 | 20 | 26 | 77 | 97 | 114 | 45.97% | 211 | 13.40% | 14.04% | 13.74% |
| GIRARDI | 2 | 78 | 14 | 20 | 25 | 81 | 100 | 120 | 45.45% | 220 | 14.00% | 13.33% | 13.64% |
| BICKEL | 0 | 11 | 1 | 0 | 2 | 11 | 11 | 14 | 44.00% | 25 | 27.27% | 14.29% | 20.00% |
| STRALMAN | 2 | 19 | 1 | 4 | 14 | 17 | 25 | 32 | 43.86% | 57 | 20.00% | 18.75% | 19.30% |
| DELZOTTO | 5 | 52 | 6 | 7 | 20 | 71 | 64 | 97 | 39.75% | 161 | 18.75% | 18.56% | 18.63% |
| WOYWITKA | 0 | 17 | 2 | 2 | 7 | 22 | 19 | 31 | 38.00% | 50 | 26.32% | 9.68% | 16.00% |
| STAAL | 0 | 6 | 0 | 0 | 3 | 7 | 6 | 10 | 37.50% | 16 | 16.67% | 10.00% | 12.50% |
| BELL | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 2 | 33.33% | 3 | 0.00% | 0.00% | 0.00% |
| SAUER | 2 | 22 | 3 | 3 | 11 | 41 | 27 | 55 | 32.93% | 82 | 3.70% | 20.00% | 14.63% |
Tables are sortable by clicking the column headers.
Among the forwards, you can a pretty clear trend down the 'Transition%' column. Casting aside the low event players at the top, you see Marian Gaborik and Derek Stepan at the top. The dynamic duo gets almost half their chances from transition play, including 8 of the 9 breakaways that the team has had. Continuing from there, you see that as transition play goes down, so does the typical line number that guys have been on. The exception to that trend, perhaps unexpectedly, is that the fourth line guys are also more apt to get their chances in transition. This seems counterintuitive, as these are your 'get your hands dirty' type guys who are often known more for their ability to grind than to get out in space. Explanations for that are up for discussion.
On defense, the biggest standout would have to be Michael Del Zotto. Well known for his ice-length passing and all around offensive upside, he actually lags behind in transition chances compared to most of the defense. What is more surprising, when we check MDZ's most common teammates, you see it is Gaborik and Stepan. The most likely explanation for that is he is generating chances only for that line and no one else, but it is something worth monitoring.
Aside from him and Marc Staal, there's not much separation among the current regular defensemen. They are all around 43-46%, an indication that offensively, the forwards are mostly the driving force.
Staying on the subject of defense, here are the chances against:
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total | Trans SH% | OZ SH% | Total % |
| AVERY | 0 | 12 | 1 | 1 | 2 | 9 | 13 | 12 | 52.00% | 25 | 7.69% | 8.33% | 8.00% |
| CHRISTENSEN | 0 | 14 | 2 | 3 | 6 | 9 | 17 | 17 | 50.00% | 34 | 23.53% | 5.88% | 14.71% |
| HAGELIN | 2 | 21 | 3 | 6 | 2 | 24 | 29 | 29 | 50.00% | 58 | 17.24% | 0.00% | 8.62% |
| STEPAN | 2 | 59 | 4 | 9 | 11 | 55 | 70 | 70 | 50.00% | 140 | 11.43% | 4.29% | 7.86% |
| CALLAHAN | 6 | 62 | 13 | 17 | 19 | 59 | 85 | 91 | 48.30% | 176 | 15.29% | 14.29% | 14.77% |
| ANISIMOV | 0 | 49 | 7 | 6 | 10 | 45 | 55 | 62 | 47.01% | 117 | 10.91% | 11.29% | 11.11% |
| BOYLE | 0 | 39 | 5 | 7 | 10 | 37 | 46 | 52 | 46.94% | 98 | 8.70% | 9.62% | 9.18% |
| GABORIK | 0 | 60 | 3 | 7 | 15 | 61 | 67 | 79 | 45.89% | 146 | 13.43% | 7.59% | 10.27% |
| FEDOTENKO | 1 | 55 | 6 | 7 | 13 | 58 | 63 | 77 | 45.00% | 140 | 11.11% | 11.69% | 11.43% |
| RICHARDS | 4 | 60 | 11 | 16 | 13 | 74 | 80 | 98 | 44.94% | 178 | 20.00% | 13.27% | 16.29% |
| PRUST | 0 | 32 | 2 | 2 | 12 | 28 | 34 | 42 | 44.74% | 76 | 14.71% | 14.29% | 14.47% |
| DUBINSKY | 2 | 48 | 7 | 8 | 18 | 49 | 58 | 74 | 43.94% | 132 | 13.79% | 10.81% | 12.12% |
| NEWBURY | 0 | 2 | 1 | 1 | 0 | 3 | 3 | 4 | 42.86% | 7 | 0.00% | 0.00% | 0.00% |
| DEVEAUX | 0 | 1 | 1 | 1 | 1 | 1 | 2 | 3 | 40.00% | 5 | 50.00% | 0.00% | 20.00% |
| MITCHELL | 0 | 16 | 0 | 3 | 7 | 23 | 19 | 30 | 38.78% | 49 | 5.26% | 10.00% | 8.16% |
| RUPP | 0 | 10 | 1 | 1 | 4 | 15 | 11 | 20 | 35.48% | 31 | 18.18% | 0.00% | 6.45% |
| WOLSKI | 0 | 5 | 1 | 1 | 2 | 8 | 6 | 11 | 35.29% | 17 | 0.00% | 9.09% | 5.88% |
| ZUCCARELLO | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 33.33% | 3 | 0.00% | 0.00% | 0.00% |
| Name | B | E | F | O | T | Z | Transition Total | Off Zone Total | Transition% | Total | Trans SH% | OZ SH% | Total % |
| BELL | 0 | 1 | 0 | 2 | 0 | 1 | 3 | 1 | 75.00% | 4 | 33.33% | 0.00% | 25.00% |
| STAAL | 0 | 10 | 0 | 3 | 0 | 8 | 13 | 8 | 61.90% | 21 | 15.38% | 0.00% | 9.52% |
| STRALMAN | 0 | 32 | 2 | 2 | 4 | 24 | 34 | 30 | 53.13% | 64 | 14.71% | 0.00% | 7.81% |
| BICKEL | 1 | 10 | 0 | 3 | 2 | 11 | 14 | 13 | 51.85% | 27 | 21.43% | 0.00% | 11.11% |
| WOYWITKA | 1 | 16 | 1 | 3 | 1 | 17 | 20 | 19 | 51.28% | 39 | 30.00% | 0.00% | 15.38% |
| DELZOTTO | 2 | 70 | 5 | 11 | 20 | 59 | 83 | 84 | 49.70% | 167 | 13.25% | 7.14% | 10.18% |
| EMINGER | 0 | 23 | 2 | 7 | 4 | 27 | 30 | 33 | 47.62% | 63 | 23.33% | 12.12% | 17.46% |
| SAUER | 2 | 26 | 2 | 3 | 7 | 27 | 31 | 36 | 46.27% | 67 | 9.68% | 8.33% | 8.96% |
| GIRARDI | 3 | 86 | 17 | 15 | 30 | 98 | 104 | 145 | 41.77% | 249 | 8.65% | 13.10% | 11.24% |
| MCDONAGH | 3 | 77 | 17 | 16 | 27 | 94 | 96 | 138 | 41.03% | 234 | 8.33% | 11.59% | 10.26% |
| ERIXON | 0 | 12 | 1 | 1 | 1 | 17 | 13 | 19 | 40.63% | 32 | 7.69% | 10.53% | 9.38% |
Among the forwards, there really isn't much to gather. Similar to the defense's contributions on offense, it does not seem like the forwards have much say as to the type of chances allowed. Yes, Callahan has somehow been on ice for every breakaway against thus far, and the fourth liners are generally less apt to give up transition chances, but overall, the spread is pretty small.
On defense, however, there's a clear separation of the pairs. Dan Girardi and Ryan McDonagh see nearly 60% of their chances against happen via zone pressure. The various installments of the 2nd pairing, some in at around 53%, and the bottom pair guys are closer to 47%. What is more interesting about that is it runs counter to what we saw with our own forwards. The top line guys, who Girardi and McDonagh most often face, are the one's that are supposed to generate transition chances. Yet defensively, the opposite has been true. While there may be other factors there, this seems to highlight the defensive abilities of our 1st pair.
So there you have it. If you have any other insights or conclusions you have based on this, go ahead and include them in the comments.
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Do most teams 1st lines generate most chances from the rush?
Would make sense to me that top lines would be more transition based in scoring chances.
Any comparisons available to last year at this time? Would think Step/Gabby/AA would give team more rush chances.
by Gabby the Gutless Sniper on Jan 16, 2012 11:44 AM EST via mobile reply actions
A general question for George or anyone...
Thanks for the stats. Just rented Moneyball, which I enjoyed, though I don’t know really know how much was fact vs. fiction…I remember you once mentioned that “advanced stats/metrics” in hockey was in its infancy compared to baseball, but that the Rangers (and Pens and Sharks?) were at the forefront of this. Just curious if you could elaborate…why Rangers, Pens and Sharks? Hard to imagine Glen Sather as the progressive Billy Beane type. How much do they rely on this stuff when considering drafts, trades…? Seems they have chosen prospects recently that have surprised everyone and wondering why….Thanks!
MacTavish and Keenan would have inherited this database as a Rangers coach. Much more importantly they would have inherited access to a way of thinking about the game and evaluating players. Tom Renney too, for that matter. Unless, of course, Glen Sather cleared out all of Neilson’s old stuff to make room for a new walk-in humidor.
http://vhockey.blogspot.com/2009/07/innovator.html
Don’t have a fun link for the Pens, but have been told they are.
I wouldn’t say anyone is at the forefront persay, just that those teams are more actively looking at other means of statistical evaluation than others.
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by George E. Ays on Jan 16, 2012 9:36 PM EST up reply actions
Oh my
Terrific stuff George
I am absolutely stunned at the goaltender’s performances… The 15-17% conversion rate on scoring chances displayed is certainly in the range of what I’ve seen with the Habs over the last three seasons.
If I’m reading the charts correctly, the Rangers have an overall SC conversion rate of 15+% on SC for them and around 11% SC against? That is a 4% difference?
I see Lundqvist’s sv% at ES is 0,940 this season, up from 0,930 last year; what about the SC sv%?
SC Sv% is roughly the same. Last year I had Lundqvist at 88.42% and Biron at 86.13%. I don’t remember our conversion rate off hand, but it was less than 15.5, I know that.
Blueshirt Banter - Where Rangers' Fans Matter
Tracking the Rangers - Numbers don't lie. They just don't agree with you.
Twitter: RangerSmurf
"Oh, that sensible and sober* Rangers fan guy who is cool, actually" - Dominik, Lighthouse Hockey
*Statement has not been verified nor regressed
by George E. Ays on Jan 17, 2012 9:28 AM EST up reply actions

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