Feed Me A Stray Cat
Registered User
Thread for discussion of advanced statistics and analytics of NHL hockey, most likely focused on the Devils.
Fenwick - counts all shot directed towards the net, except for blocked shots (includes shots on net and missed shots)
Corsi - counts all shots directed towards the net (including shots on net, missed shots, and blocks)
Why are these stats important? Because they are a very good indicator of who's possessing the puck, and teams that possess the puck more tend to win hockey games. By possessing the puck you not only increase your chances of scoring a goal, but you also decrease the other team's chances of scoring a goal, since they don't have the puck.
"But Feed Me A Stray Cat, you're completely ignoring shot quality. A team that directs 50 shots from the blueline surely won't have as good a chance of winning as a team that gets 25 shots from the slot." Son, hockey is not played like that. Teams don't try to win the shot battle, and then expect to win the game. They try to win the game, and just as it happens, the winning teams typically get more shots. Teams have a tendency of optimizing the type of shots they take.
Additionally, every team will converge to towards the league median shooting percentage over the long haul. The best shooting team in the NHL over the last six years, the Pittsburgh Penguins, had an even strength shooting percentage of 9.5%, while the median was 8.4%. That's right, the best shooting team, i.e. the team that gets the best quality shots, only did better than the median by 13%. What does that show you? That shot quality is a very small facet of team skill, and is not nearly as important a factor as team puck possession.
Some hard evidence on why Corsi and Fenwick are important: http://www.broadstreethockey.com/2012/1/23/2722089/score-adjusted-fenwick
Some things to be mindful about when assessing an individual player's Corsi:
-Does this player start more in the offensive or defensive zone than his teammates? Not surprisingly, players that start a lot in the offensive zone will naturally have higher Corsi's since they're placed in a more favorable position, and vice versa.
-Although the quality of competition metrics need some fine tuning, it's important to be cognizant of what type of matchups different players get. If someone is routinely facing off against the other team's top lines, especially while starting a lot in their own end, that player should be expected to have a lower Corsi.
-The metric to pay attention to is CorsiRel. This is a player's Corsi number relative to the average for his team. This simply helps strip out strength of team from the argument. Someone scrub on Chicago or Los Angeles might have a very good Corsi, while a good player on Edmonton might have a bad Corsi, and you can't glean much from that.
The 2012-13 NJ Devils, through 3/29/13:
http://www.behindthenet.ca/nhl_stat...3+5+4+6+7+8+13+14+29+30+32+33+34+45+46+63+67#
Team Fenwick percentage. A 58.92 means that a team has taken 58.92% of all shots directed towards the net, not counting blocks, in the games that they've played, while their opponents have only taken 41.08% of shots. The reason you look at these numbers in "close" or "tied" scenarios is because being up or down by 2-3 goals skews things, as teams that are losing by a lot will usually outshoot their opponent.
http://behindthenet.ca/fenwick_2012.php?sort=6§ion=close
EDIT: Can someone help me format these tables?
Fenwick - counts all shot directed towards the net, except for blocked shots (includes shots on net and missed shots)
Corsi - counts all shots directed towards the net (including shots on net, missed shots, and blocks)
Why are these stats important? Because they are a very good indicator of who's possessing the puck, and teams that possess the puck more tend to win hockey games. By possessing the puck you not only increase your chances of scoring a goal, but you also decrease the other team's chances of scoring a goal, since they don't have the puck.
"But Feed Me A Stray Cat, you're completely ignoring shot quality. A team that directs 50 shots from the blueline surely won't have as good a chance of winning as a team that gets 25 shots from the slot." Son, hockey is not played like that. Teams don't try to win the shot battle, and then expect to win the game. They try to win the game, and just as it happens, the winning teams typically get more shots. Teams have a tendency of optimizing the type of shots they take.
Additionally, every team will converge to towards the league median shooting percentage over the long haul. The best shooting team in the NHL over the last six years, the Pittsburgh Penguins, had an even strength shooting percentage of 9.5%, while the median was 8.4%. That's right, the best shooting team, i.e. the team that gets the best quality shots, only did better than the median by 13%. What does that show you? That shot quality is a very small facet of team skill, and is not nearly as important a factor as team puck possession.
Some hard evidence on why Corsi and Fenwick are important: http://www.broadstreethockey.com/2012/1/23/2722089/score-adjusted-fenwick
Some things to be mindful about when assessing an individual player's Corsi:
-Does this player start more in the offensive or defensive zone than his teammates? Not surprisingly, players that start a lot in the offensive zone will naturally have higher Corsi's since they're placed in a more favorable position, and vice versa.
-Although the quality of competition metrics need some fine tuning, it's important to be cognizant of what type of matchups different players get. If someone is routinely facing off against the other team's top lines, especially while starting a lot in their own end, that player should be expected to have a lower Corsi.
-The metric to pay attention to is CorsiRel. This is a player's Corsi number relative to the average for his team. This simply helps strip out strength of team from the argument. Someone scrub on Chicago or Los Angeles might have a very good Corsi, while a good player on Edmonton might have a bad Corsi, and you can't glean much from that.
The 2012-13 NJ Devils, through 3/29/13:
http://www.behindthenet.ca/nhl_stat...3+5+4+6+7+8+13+14+29+30+32+33+34+45+46+63+67#
Code:
RK SEASON NAME TEAM POS NUM GP TOI/60 Corsi Rel QoC Corsi QoC Corsi Relative Corsi On On-Ice Sh% On-Ice Sv% PDO Pens Taken/60 Pens Drawn/60 Off Zone Start % Off Zone Finish %
1 2012-2013 Season HENRIKTALLINDER N.J D 7 15 14.37 -0.96 -2.32 19.3 16.42 6.52 934 999 0.8 0.6 54 53
2 2012-2013 Season DAVIDCLARKSON N.J RW 23 35 13.58 0.20 -0.80 17.3 19.18 6.94 890 960 1.0 1.0 48 52
3 2012-2013 Season PATRIKELIAS N.J LW 26 35 12.77 0.27 -0.64 15.3 17.98 7.87 917 995 0.5 0.9 47 49
4 2012-2013 Season TOMKOSTOPOULOS N.J RW 25 12 8.91 0.57 -0.15 9.8 17.96 3.92 900 939 1.1 1.1 55 58
5 2012-2013 Season MARKFAYNE N.J D 29 22 15.38 0.85 -1.17 8.0 9.93 8.51 922 1007 1.1 0.4 44 48
6 2012-2013 Season ANDREILOKTIONOV N.J C 21 18 12.22 0.09 -2.37 6.5 14.46 9.71 878 975 0.5 0.8 55 53
7 2012-2013 Season MAREKZIDLICKY N.J D 2 35 16.17 0.02 -1.06 4.6 9.86 6.96 897 966 1.1 0.3 60 55
8 2012-2013 Season TRAVISZAJAC N.J C 19 35 14.41 0.11 -0.86 4.5 10.00 5.38 927 981 0.5 0.5 51 54
9 2012-2013 Season ALEXEIPONIKAROVSKY N.J LW 12 31 12.54 0.39 -1.21 3.5 8.80 6.10 938 998 0.6 0.5 57 57
10 2012-2013 Season ANTONVOLCHENKOV N.J D 28 30 12.98 -0.29 0.03 2.2 8.02 6.04 910 970 1.7 0.5 53 56
11 2012-2013 Season ADAMHENRIQUE N.J C 14 30 13.46 0.34 -0.98 1.2 9.51 8.43 910 994 0.3 0.4 46 44
12 2012-2013 Season ANDYGREENE N.J D 6 35 17.17 0.11 -0.66 -0.7 6.39 9.96 903 1002 0.6 0.8 45 50
13 2012-2013 Season MATTD'AGOSTINI N.J RW 16 20 10.96 0.03 0.54 -1.9 -0.55 8.33 901 985 0.3 1.6 56 52
14 2012-2013 Season PETERHARROLD N.J D 10 12 14.68 -0.18 -0.38 -2.1 8.86 1.56 851 866 0.3 0.7 60 55
15 2012-2013 Season STEVEBERNIER N.J RW 18 35 11.79 0.45 -0.40 -2.7 4.80 6.59 886 952 0.3 1.3 50 49
16 2012-2013 Season RYANCARTER N.J C 20 31 12.51 0.60 -0.19 -4.7 2.94 7.50 882 957 0.9 0.8 48 56
17 2012-2013 Season ILYAKOVALCHUK N.J RW 17 32 16.77 0.00 -0.86 -8.3 1.68 7.73 913 990 0.7 0.7 55 52
18 2012-2013 Season JACOBJOSEFSON N.J C 16 16 9.62 -0.11 0.25 -8.4 -5.46 2.04 841 862 0.4 0.8 43 57
19 2012-2013 Season KRYSTOFERBARCH N.J RW 22 22 5.85 -1.24 -1.79 -8.6 0.00 11.43 933 1048 0.9 0.5 57 51
20 2012-2013 Season ADAMLARSSON N.J D 5 28 16.06 0.10 -0.68 -9.5 2.67 10.24 899 1001 0.7 0.3 47 51
21 2012-2013 Season STEFANMATTEAU N.J LW 15 17 9.11 0.63 -0.84 -9.7 1.94 5.80 926 984 0.8 0.4 55 48
22 2012-2013 Season BRYCESALVADOR N.J D 24 34 17.28 0.94 -0.33 -10.5 -0.31 5.24 929 982 0.8 0.2 46 50
23 2012-2013 Season STEPHENGIONTA N.J LW 11 35 11 0.23 -0.60 -15.8 -5.30 12.40 885 1009 0.5 1.1 52 52
Team Fenwick percentage. A 58.92 means that a team has taken 58.92% of all shots directed towards the net, not counting blocks, in the games that they've played, while their opponents have only taken 41.08% of shots. The reason you look at these numbers in "close" or "tied" scenarios is because being up or down by 2-3 goals skews things, as teams that are losing by a lot will usually outshoot their opponent.
http://behindthenet.ca/fenwick_2012.php?sort=6§ion=close
Code:
Fenwick Percentages CLOSE ALL DATA CLOSE HOME CLOSE ROAD
TEAM TIED UP 2 UP 1 DOWN 1 DOWN 2 CLOSE FENPCT TOI GF/60 GA/60 SF/60 SA/60 MF/60 MA/60 FENPCT TOI GF/60 GA/60 SF/60 SA/60 MF/60 MA/60 FENPCT TOI GF/60 GA/60 SF/60 SA/60 MF/60 MA/60
L.A 58.92 45.04 55.62 56.72 64.33 58.04 58.04 28.19 2.94 2.57 28.92 21.35 13.33 8.76 56.36 27.51 3.08 2.05 23.99 21.04 15.01 9.49 59.52 28.87 2.81 3.06 33.62 21.64 11.74 8.07
BOS 53.04 45.20 54.83 62.67 60.55 54.90 54.90 31.95 3.40 2.46 31.10 25.53 12.79 10.86 55.33 31.39 4.08 2.42 31.48 26.51 12.11 9.56 54.55 32.45 2.83 2.50 30.78 24.69 13.38 11.97
STL 53.86 38.10 53.33 55.67 50.66 54.46 54.46 29.90 2.68 2.61 25.29 20.49 11.01 9.49 50.70 30.14 1.99 2.99 23.14 21.90 10.95 10.20 58.02 29.68 3.33 2.26 27.35 19.15 11.06 8.80
CHI 52.06 54.98 55.59 61.41 51.72 54.32 54.32 29.99 3.03 2.24 27.77 22.92 9.21 8.49 55.74 30.74 2.93 2.07 28.79 22.81 8.54 7.07 52.97 29.28 3.13 2.41 26.76 23.02 9.88 9.88
N.J 52.94 50.35 46.83 57.92 56.18 53.80 53.80 33.46 2.11 2.06 24.68 22.52 11.66 8.44 53.72 31.71 2.67 1.78 23.38 23.27 10.91 6.79 53.87 35.21 1.60 2.31 25.86 21.85 12.33 9.92
VAN 54.72 45.51 45.08 59.55 60.98 53.67 53.67 30.58 2.80 2.35 27.81 25.17 11.66 8.97 56.34 32.35 3.19 2.27 28.13 24.84 14.01 8.04 50.32 28.70 2.34 2.46 27.42 25.58 8.85 10.08
NYR 52.15 46.63 49.65 56.93 59.49 53.52 53.52 30.51 2.20 2.43 29.73 25.34 13.42 11.63 54.77 31.45 2.54 2.44 30.32 24.38 13.99 11.87 51.98 29.45 1.78 2.42 29.03 26.49 12.73 11.33
MTL 56.09 48.42 45.69 57.76 66.33 53.47 53.47 28.53 2.97 2.16 28.51 25.61 11.88 9.96 56.07 25.73 3.29 1.65 29.22 24.14 13.72 10.43 51.27 31.34 2.70 2.59 27.93 26.81 10.36 9.57
DET 52.19 45.45 47.57 54.35 60.31 51.81 51.81 29.66 2.32 2.32 28.08 27.19 11.42 9.40 50.15 29.85 2.72 2.48 26.96 28.62 10.17 8.51 53.43 29.48 1.92 2.16 29.21 25.74 12.69 10.30
FLA 52.13 32.65 44.49 54.45 53.08 51.62 51.62 27.78 1.86 3.30 28.80 25.98 11.46 10.20 52.69 28.43 1.89 3.67 30.22 25.11 11.44 10.33 50.32 27.06 1.83 2.87 27.13 27.00 11.48 10.04
S.J 53.41 46.28 44.26 49.54 66.43 51.54 51.54 29.98 2.35 2.00 26.55 26.31 13.36 11.42 52.42 31.01 2.78 1.57 26.72 25.27 13.66 12.33 50.70 29.06 1.95 2.41 26.38 27.30 13.08 10.55
CAR 50.65 39.67 49.22 53.25 53.88 51.54 51.54 28.43 2.43 2.37 30.06 28.20 13.49 12.66 54.11 27.52 2.73 2.45 31.48 27.66 15.12 11.72 49.17 29.29 2.17 2.29 28.80 28.68 12.05 13.50
PIT 52.39 43.50 48.93 51.80 64.60 51.24 51.24 29.38 3.29 2.04 27.28 28.13 12.93 11.23 53.24 29.10 2.39 1.74 27.45 25.39 12.91 10.42 49.27 29.70 4.28 2.38 27.10 31.14 12.96 12.12
WPG 49.04 46.81 45.60 54.67 59.47 50.27 50.27 32.64 2.50 2.20 27.11 27.47 13.22 12.71 49.67 31.69 1.67 2.45 26.06 26.62 14.59 13.81 50.77 33.49 3.21 1.98 28.00 28.19 12.07 11.79
PHX 49.90 47.87 47.84 57.53 55.41 50.09 50.09 32.14 2.24 2.77 28.11 27.74 12.75 12.43 53.02 30.44 2.74 2.96 28.04 26.18 14.35 10.84 47.37 33.94 1.77 2.60 28.18 29.22 11.23 13.93
OTT 48.34 44.21 52.32 57.29 59.26 49.91 49.91 33.77 2.28 2.34 29.54 30.15 12.39 11.88 50.39 33.29 2.85 1.99 29.02 29.31 11.57 11.48 49.40 34.34 1.64 2.73 30.14 31.12 13.32 12.34
DAL 51.26 41.76 45.73 51.41 52.35 49.73 49.73 29.50 2.77 2.53 24.28 27.06 12.63 10.54 49.77 27.66 3.06 2.81 25.26 27.30 13.40 11.99 49.69 31.46 2.50 2.27 23.37 26.82 11.92 9.18
NYI 50.37 46.94 46.12 50.00 54.46 49.70 49.70 31.68 2.71 2.65 27.22 25.76 10.61 12.61 50.24 33.45 2.27 2.55 26.91 24.45 10.39 12.18 49.03 29.58 3.30 2.79 27.64 27.51 10.90 13.19
PHI 48.73 45.78 46.12 50.29 55.96 49.49 49.49 24.91 2.34 3.14 26.93 24.89 10.07 12.11 51.52 25.53 2.64 2.94 28.65 24.53 11.16 12.49 47.35 24.34 2.03 3.34 25.23 25.23 8.99 11.75
CGY 50.94 47.30 41.59 49.29 52.05 48.96 48.96 28.71 2.60 3.48 25.97 25.97 10.32 11.08 51.33 30.46 3.39 3.06 25.17 25.06 11.49 9.85 45.84 26.60 1.50 4.06 27.07 27.22 8.72 12.78
MIN 47.14 38.76 49.77 51.40 60.98 48.32 48.32 30.44 2.78 2.38 25.04 26.20 9.80 11.65 51.45 31.42 2.92 2.02 27.19 24.38 9.89 11.35 45.01 29.47 2.63 2.75 22.76 28.14 9.70 11.98
COL 46.39 38.05 52.58 50.74 51.76 47.42 47.42 26.90 2.10 3.15 25.84 27.48 10.10 11.54 49.82 24.29 2.33 3.20 28.19 25.87 10.75 12.50 45.33 29.52 1.91 3.11 23.91 28.82 9.57 10.76
NSH 47.41 38.10 41.67 52.22 52.38 47.11 47.11 29.83 2.07 2.47 22.70 24.02 9.37 11.84 49.28 31.82 2.59 2.24 24.51 23.45 9.08 11.55 44.98 28.15 1.57 2.69 20.98 24.56 9.65 12.11
ANA 47.13 47.58 40.51 52.65 53.50 46.64 46.64 30.65 3.51 2.42 23.26 25.73 10.02 13.93 50.95 26.59 2.92 2.12 24.42 23.76 11.81 11.81 43.49 34.72 3.96 2.64 22.37 27.25 8.64 15.55
WSH 47.96 55.03 43.45 47.36 54.91 46.44 46.44 27.42 2.51 2.77 24.33 29.54 10.94 11.26 48.21 26.02 2.74 2.88 22.77 29.26 13.26 9.51 45.04 28.67 2.33 2.67 25.58 29.77 9.07 12.67
TOR 45.65 40.73 42.36 48.01 52.69 44.94 44.94 29.37 3.01 2.84 24.86 30.08 10.95 14.64 45.09 29.03 2.99 3.22 25.26 31.58 12.86 15.27 44.78 29.71 3.03 2.47 24.46 28.61 9.09 14.03
T.B 44.98 39.86 46.08 50.65 49.22 44.79 44.79 26.99 2.16 3.03 23.44 28.97 10.91 13.00 46.65 28.39 2.36 2.73 24.99 28.22 10.69 12.56 42.60 25.50 1.91 3.38 21.61 29.85 11.17 13.53
CBJ 44.40 45.59 40.89 48.56 56.78 44.79 44.79 35.53 2.36 2.70 23.21 28.99 8.25 9.99 46.00 36.29 2.26 2.18 24.54 29.68 7.75 8.70 43.30 34.64 2.49 3.36 21.54 28.15 8.88 11.58
EDM 42.93 42.86 43.59 49.30 47.83 44.72 44.72 28.97 2.07 2.68 24.18 28.87 9.62 12.79 46.98 30.00 1.87 2.50 27.75 28.37 9.25 13.00 42.44 28.05 2.26 2.85 20.79 29.35 9.98 12.59
BUF 44.91 29.50 35.18 49.20 57.25 43.90 43.90 30.46 2.70 3.04 25.16 30.84 8.78 12.95 46.07 34.37 2.68 2.91 28.51 32.47 8.38 10.94 41.74 27.52 2.73 3.16 22.02 29.32 9.16 14.82
EDIT: Can someone help me format these tables?
Last edited: