Measuring Performance Against the Power Play: Beyond PK% (2024)

Measuring Performance Against the Power Play: Beyond PK% (1)

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The conventional measurement of NHL team performance in short-handed situations is the Penalty Kill Percentage (PK%): how often the team’s penalty killers do their job and prevent the other team from scoring on the power play.

While PK% is the time honored NHL statistic, does it really provide the best measure of how well a team does in preventing power-play goals? I say not.

First and most obviously, the PK% statistic does not take short-handed goals into consideration. Clearly, if the penalty killers score a goal, that totally offsets what the opponent’s power play is trying to accomplish, not to mention the huge psychological boost it provides.

There are significant differences among NHL teams in short-handed goal scoring. In the first half of this season, nine teams have scored 5 or more times, while six have 1 or none. This performance spread clearly reflects on the quality of the penalty-killing units, but it's ignored in calculating the PK%.

Unfortunately, the PK% only considers how frequently the opponent fails to score on the power play. Scoring a short-handed goal often has a bigger impact on the result of a game than a successful penalty kill (there are exceptions, of course).

For all these reasons, at a minimum, the NHL should enhance the meaning of the PK% by incorporating short-handed goals into the statistic.

Measuring Performance Against the Power Play: Beyond PK% (2)

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Secondly and more subtly, PK% doesn’t take team discipline into consideration. The surest way to prevent power plays goals is not to take unnecessary penalties. If you don’t give your opponent the opportunity, they can’t score on a power play.

While the NHL does not maintain statistics on “good” penalties (e.g., obstructing an opponent to prevent a shot on a partial breakaway) versus “bad” penalties; I think it’s fair to say that the vast majority of short-handed situations are caused by bad penalties: hooks and holds when players have been beaten, careless high sticks and trips, delays of game, too many men on the ice, etc.

Teams that minimize the penalties they take (the New Jersey Devils immediately jump to mind) enjoy a distinct advantage in several respects.

By facing fewer short-handed situations, disciplined teams are at lower risk of giving up power play goals. They are able to follow their game plans more closely, playing more 5-5 hockey in the offensive zone and spreading out ice time in accordance with the coaches dictates.

The PK% is intended to indicate how well a team does against the power play. However, in my opinion, a better overall measurement of team performance in this aspect of the game would be who gives up the fewest power play goals against.

In other words, instead of focusing strictly on how frequently a team stops the power play, let’s focus on which team surrenders the least to its opponents through the power play.

We need a statistic that tells more about which team plays the best overall game against the power play. My proposal is "Net Power Play Goals Against Per Game." Admittedly that title is a real mouthful, so instead lets call it "Penalty Kill Yield" (PKY). The calculation is simple:

PKY = (Power Play Goals Against – Short Handed Goals For) ÷ Games Played

The table below shows the PKY statistic based on games played through January 8, 2010. The data provides some interesting insight into team performance. There is definitely not a one to one relationship between the PK% and PKY stats.

Several teams with relatively high PK% have actually yielded more net goals on power plays than teams who have much lower PK% rankings.

For example, which team is better at preventing power play goals: NewJersey or St. Louis? The Bluesrank fourth in PK% but are eighth inPKY(0.488).By contrast, the Devils are third inPKY(0.390) although only 10th in PK%.

This difference inPKYstats (0.098) means that even though the Blues have a better PK%, the Devils will give up eight fewer net goals during power plays over the full 82 games season...and as a result will probably earn more than a few extra victories over opponents.

A few other comparisons are equally revealing.

Phoenix has a much higher ranking in PK% (ninth) than Detroit (15th). Yet when you compare the two teams based onPKY, the Red Wings (0.558) are 11th while the Coyotes (0.644) are 16th.

That difference (0.086) equates to seven fewer net goals against on power plays during the course of the season. Advantage Detroit.

Dallas ranks only 25th in PK% but they are 15th inPKY(0.636). In the first half of the season, they have already yielded a net of 5 fewer goals during power plays when compared to Tampa Bay, which ranks 18th in PK% but is 26th inPKY(0.786) and has played two fewer games.

Even at the top, there is a difference between the two statistics. Chicago (No. 2 on PK%) outperforms Boston (No. 1 on PK%) on thePKYmeasure by 0.054…while that’s not a big difference, it still means 4-5 fewer goals given up by the end of 82 games.

These comparisons are not just academic. Over the course of the season, how many times will not yielding a goal mean a regulation victory instead of overtime? Or taking a game to overtime instead of a one-goal loss?

Special teams are a critical part of the game; both on the power play and the penalty kill. From the standpoint of evaluating overall team performance, what really matters most is how few goals you yield to the opponent’s power play rather than simply what percentage of the time you stop them.

Penalty Kill Yield (games thru 1/08/10)

Team

GP

PPG-A

SHG-F

Penalty Kill Yield

PKY Rank

PK%

PK% Rank

CHI

44

20

6

0.318

1

86.8

2

BOS

43

19

3

0.372

2

87.6

1

NJD

41

20

4

0.390

3

83.3

10

BUF

43

21

3

0.419

4

85.5

6

SJS

44

25

6

0.432

5

86.2

3

NYR

44

25

4

0.477

6

86.1

5

CGY

44

27

6

0.477

7

84.2

7

STL

43

25

4

0.488

8

86.2

4

PIT

45

28

5

0.511

9

83.3

11

MIN

44

28

4

0.545

10

82.2

12

DET

43

28

4

0.558

11

81.5

15

ATL

43

31

6

0.581

12

80.9

17

MTL

46

31

2

0.630

13

84.0

8

OTT

44

33

5

0.636

14

81.5

16

DAL

44

31

3

0.636

15

78.3

25

PHX

45

30

1

0.644

16

84.0

9

CBJ

46

34

4

0.652

17

81.9

13

VAN

44

31

2

0.659

18

81.8

14

FLA

44

35

6

0.659

19

79.3

24

NSH

44

33

4

0.659

20

77.2

27

COL

45

34

4

0.667

21

80.2

19

LAK

44

34

3

0.705

22

80.1

20

WSH

43

32

1

0.721

23

80.1

21

NYI

45

38

4

0.756

24

76.8

28

ANA

44

39

5

0.773

25

79.5

23

TBL

42

34

1

0.786

26

80.4

18

PHI

43

38

3

0.814

27

79.7

22

CAR

43

41

5

0.837

28

78.3

26

EDM

44

37

0.841

29

76.1

29

TOR

45

50

3

1.044

30

68.4

30

Measuring Performance Against the Power Play:  Beyond PK% (2024)
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