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Penalty Kill Effectiveness : A new way to look at an old stat?

In a game I was watching not too long ago a series of events transpired to make me question the validity, or at least accuracy, of a fundamental NHL statistic.  During the game a minor penalty was taken.  However, on the ensuing faceoff, the team with the advantage committed a minor erasing the power play.  So what you ask?   Well the official score sheet will show that the original offending team was 1 for 1 on the penalty kill (and this would repeat on the back end for the 2nd penalty for the other team) by simply killing off a measly 2 seconds of clock time.

 

This got me to thinking.  How often does this happen?  A successful penalty kill lasting less than the standard 2 minutes?  Does this occur enough over the course of a season where it would misrepresent a team’s true penalty killing ability? 

I wanted to see if I could find an answer to these questions.  As a result I began tracking every penalty kill for the 2009-10 season.  I’ve used the official score sheets from NHL.com to see how every team is faring while down in manpower. 

My initial theory is that the current measurement does not accurately reflect a team’s true capacity for killing penalties thanks to shortened penalties skewing the success rates.  If the average time of a successful kill can be shown to be impacted by scenarios akin to the opening paragraph I’d like to propose a new measurement.  I’d then like to compare this measurement against the current statistics to see if there is any difference in the rankings.

 

 

Star-divide

 

First there is the existing data.  As we enjoy the Olympic break there have been 921 games played in the NHL this season.  During these 921 contests there have been 6961 officially recorded manpower advantages.  The total time spent in the box, league-wide, is 11,275 minutes and 22 seconds or nearly 188 hours.  Currently the NHL calculates PK success as goals allowed per times short handed with no regard for the amount of time killed.  According to NHL.com the official rankings for penalty killing effectiveness:

 

Chart

 

Penalty-Killing Percentage Leaders

 

 

 

 

 

 

 

 

 

RK

TEAM

GP

PPGA

TSH

PCT

SHG

1

Buffalo

60

28

207

86.5

3

2

San Jose

62

34

249

86.3

7

3

Boston

60

30

215

86

3

4

St. Louis

62

38

260

85.4

6

5

Chicago

61

32

211

84.8

10

6

New York Rangers

62

39

253

84.6

5

7

Montreal

63

42

255

83.5

2

8

Phoenix

63

41

248

83.5

2

9

Ottawa

63

40

240

83.3

6

10

Colorado

61

40

240

83.3

7

11

Pittsburgh

62

41

245

83.3

6

12

Calgary

62

41

244

83.2

6

13

Columbus

63

44

250

82.4

5

14

Detroit

61

37

208

82.2

4

15

Minnesota

61

39

216

81.9

4

16

Atlanta

60

43

234

81.6

8

17

Carolina

61

48

252

81

6

18

New Jersey

61

36

189

81

6

19

Philadelphia

60

49

255

80.8

5

20

Vancouver

61

46

239

80.8

6

21

Anaheim

62

49

252

80.6

5

22

Tampa Bay

61

48

245

80.4

2

23

Los Angeles

61

45

225

80

4

24

Florida

61

44

218

79.8

6

25

Washington

62

52

249

79.1

3

26

Dallas

61

45

198

77.3

6

27

New York Islanders

62

53

221

76

5

28

Nashville

61

50

208

76

5

29

Edmonton

61

53

220

75.9

4

30

Toronto

61

61

215

71.6

3

 

 

 

Now that we know who the NHL thinks are the most effective killers of penalties I’d like to start to look at numbers that interest me.

So.  How long is the average successful penalty kill? 

Unfortunately, since I was taking high level numbers from the score sheets, I do not have a 100% sample of penalty kills.  What I do have, however, is the ability to parse out those games where teams successfully killed all penalties in a game and the time served.  Using this method I have captured 2928 short handed situations out of the 6960 overall. This 42% sample size at a 99% confidence level gives us an average penalty kill time within a 2% margin of error

These 2928 advantages were successfully erased in a total time of 5,204 minutes for an average of 1:46 per kill.

I find it interesting to note that the needle moved nearly a full 15 seconds off the standard 2 minute kill.  On average the penalty killers only have to successfully combat 88% (14/120) of a called pen.

More data is required to see if this is consistent year over year but for the purposes of killing time during the Olympic break I am going to use this as my standard.

My next contention is that a penalty kill unit that gets scored on 1:59 into an advantage was more effective than a unit that allowed a goal within the first 10 seconds.  Not rocket science here.  The longer you go without allowing a goal while a man down the better you are at killing penalties.

I make this statement to pave the way for introducing a new way of measuring penalty kill effectiveness. 

Where am I going with this?  Something akin to an earned run average in baseball.  Baseball pitchers are held to a standard that puts the runs they allow against a standard over innings pitched.  I’d like to do the same for hockey.  Take the goals allowed, against a standard, over minutes served.  Speaking formulaically

Baseball:  ERA is calculated as Earned runs*9 / innings pitched.

Hockey:  I’d like to propose:  PP goals allowed*1:46 / minutes short handed

If we plug in the numbers farmed from the score sheets we get:

TSH = Number of short handed opportunities

PPGA = goals allowed while down a man

PK% = penalty kill percentage – league measurement

Time SH = actual amount of clock time with numerical disadvantage

PKA = Penalty Kill Average – New Overmars measurement

NHL Rank = PK rankings as determined by NHL currently

PKA Rank = PK ranking as determined by goals allowed and total time served

 

 

Team

TSH

PPGA

PK%

Time SH

PKA

NHL Rank

PKA Rank

Buffalo

207

28

86.5%

341:15:00

3:28:44

1

1

San Jose

249

34

86.3%

412:43:00

3:29:35

2

2

Boston

215

30

86.0%

351:27:00

3:37:09

3

3

St Louis

259

38

85.3%

436:15:00

3:41:36

4

4

Chicago

211

33

84.4%

354:57:00

3:56:31

5

5

New York Rangers

253

39

84.6%

407:01:00

4:03:46

6

6

Montreal

255

42

83.5%

419:56:00

4:14:26

7

7

Calgary

244

41

83.2%

407:22:00

4:16:03

11

8

Colorado

238

40

83.2%

390:05:00

4:20:52

12

9

Pittsburgh

245

41

83.3%

397:50:00

4:22:11

10

10

Ottawa

240

40

83.3%

388:00:00

4:22:16

9

11

Phoenix

248

41

83.5%

394:08:00

4:24:38

8

12

Detroit

208

37

82.2%

349:14:00

4:29:32

14

13

Atlanta

234

43

81.6%

388:25:00

4:41:38

16

14

Columbus

250

44

82.4%

396:12:00

4:42:31

13

15

Minnesota

216

39

81.9%

350:51:00

4:42:47

15

16

Vancouver

239

46

80.8%

397:57:00

4:54:04

20

17

New Jersey

189

36

81.0%

310:56:00

4:54:33

18

18

Carolina

254

48

81.1%

409:18:00

4:58:21

17

19

Tampa Bay

246

48

80.5%

397:04:00

5:07:32

22

20

Philadelphia

255

49

80.8%

402:50:00

5:09:27

19

21

Anaheim

252

49

80.6%

401:54:00

5:10:10

21

22

Los Angeles

225

45

80.0%

368:58:00

5:10:16

23

23

Florida

218

44

79.8%

343:39:00

5:25:44

24

24

Washington

249

52

79.1%

402:07:00

5:28:59

25

25

Dallas

198

45

77.3%

316:16:00

6:01:58

26

26

New York Islanders

221

53

76.0%

344:48:00

6:31:03

27

27

Edmonton

220

53

75.9%

344:21:00

6:31:33

29

28

Nashville

208

50

76.0%

317:21:00

6:40:49

28

29

Toronto

215

61

71.6%

332:12:00

7:47:08

30

30

League tot/avg

6961

1289

81.5%

11275:22:00

4:59:54

 

 

 

 

Well.  Now that the math is done we see that there is no real change at the top or the bottom of the rankings.  The existing and the proposed measurements both recognize who is the best and the worst of the lot.  What I’m liking about the new measurement is that it allows for further definition for the middle of the pack:

 

 

Team

TSH

PPGA

PK%

Time SH

PKA

NHL Rank

PKA Rank

Change

Montreal

255

42

83.5%

419:56:00

4:14:26

7

7

0

Phoenix

248

41

83.5%

394:08:00

4:24:38

8

12

-4

Ottawa

240

40

83.3%

388:00:00

4:22:16

9

11

-2

Pittsburgh

245

41

83.3%

397:50:00

4:22:11

10

10

0

Calgary

244

41

83.2%

407:22:00

4:16:03

11

8

3

Colorado

238

40

83.2%

390:05:00

4:20:52

12

9

3

Columbus

250

44

82.4%

396:12:00

4:42:31

13

15

-2

Detroit

208

37

82.2%

349:14:00

4:29:32

14

13

1

Minnesota

216

39

81.9%

350:51:00

4:42:47

15

16

-1

Atlanta

234

43

81.6%

388:25:00

4:41:38

16

14

2

Carolina

254

48

81.1%

409:18:00

4:58:21

17

19

-2

New Jersey

189

36

81.0%

310:56:00

4:54:33

18

18

0

Philadelphia

255

49

80.8%

402:50:00

5:09:27

19

21

-2

Vancouver

239

46

80.8%

397:57:00

4:54:04

20

17

3

Anaheim

252

49

80.6%

401:54:00

5:10:10

21

22

-1

Tampa Bay

246

48

80.5%

397:04:00

5:07:32

22

20

2

 

 

We can clearly see that the inclusion of time into the measurement does allow us a deeper dive into determining the worth of a team’s penalty kill.  Take, for instance, the numbers for Pittsburgh and Calgary.  They have both allowed 41 goals with a manpower disadvantage.  Since Pittsburgh has faced one more penalty kill the NHL says they are .1% better than Calgary in this category.  However, Calgary has faced nearly 10 more minutes of PK time, and under our new format is rewarded for allowing fewer goals per time served. 

 

 

I concede that there is not nearly enough historical data available to ensure that the standard used in the PKA is valid, however, seeing the average time for a penalty kill drop so significantly and positions changing so dynamically makes me believe that this measurement is worthy of further research.  To be continued?

0 recs  |  Comment 4 comments |

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An interesting post. I have just one question for you:

Should we try to adjust the PK numbers because of this? A penalty kill unit looks better in this case: they kill off a penalty, albeit a very short one. But they also drew a penalty. In this way, it actually helps to give them some “credit” for that.

Is it a perfect measurement? Absolutely not. Much like +/-, there are advantages and disadvantages to using the PK% stat.

Well done!

by timmyf on Mar 1, 2010 3:55 PM EST reply actions  

I had not considered the value of drawing a penalty ...

… as a product of an effective penalty kill in the past. I’d be willing to consider that but there is still the benefit on the back end for the original offending team. That consideration does not seem equitable.

by 0vermars on Mar 1, 2010 5:35 PM EST up reply actions  

1:46

Interesting.

How does the 1:46 get affected by deriving it from games in which all kills were successful? Would that number tend to be lower because shorter penalties (i.e., those cut short by other penalties) are easier to kill? Did you compensate for 5-on-3s or for 5-min majors? Or control for opponents PP strength?

This looks like a great start, but I tend to think that eventually the pk% will be a much easier proxy for estimating a ROS (Revised 0versmars Score).

by Jarndyce on Mar 2, 2010 8:08 AM EST reply actions  

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