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Once again, let me first review WOWY a little. Looking at the range of observed WDiff we see
|
group |
mean |
sd |
0% |
2.5% |
50% |
97.5% |
100% |
n |
|
All |
-0.011 |
0.166 |
-1.000 |
-0.445 |
-0.006 |
0.432 |
1.000 |
24875 |
|
100/100 |
0.000 |
0.055 |
-0.237 |
-0.109 |
0.000 |
0.107 |
0.199 |
10623 |
|
200/200 |
0.003 |
0.048 |
-0.221 |
-0.091 |
0.003 |
0.098 |
0.196 |
6947 |
|
300/300 |
0.004 |
0.045 |
-0.164 |
-0.084 |
0.004 |
0.094 |
0.190 |
4893 |
|
600/600 |
0.010 |
0.040 |
-0.117 |
-0.067 |
0.011 |
0.093 |
0.151 |
1335 |
WOWL
So I went through the 2013-14 season and computed WOWY for every skater with each of the NHL Linesmen (WOWL). Linesmen are on the ice when Corsi events happen but have no effect on Corsi production rates. So what does the distribution of WOWL WDiff look like? Once again I looked at all pairs, 100/100, and 200/200. There weren't any skater-lineman pairs with more than 300 events With.
|
Group |
mean |
sd |
0% |
2.5% |
50% |
97.5% |
100% |
n |
|
All |
-0.001 |
0.101 |
-0.581 |
-0.215 |
-0.001 |
0.208 |
0.635 |
23651 |
|
100/100 |
0.001 |
0.056 |
-0.241 |
-0.111 |
0.001 |
0.110 |
0.219 |
8490 |
|
200/200 |
0.002 |
0.046 |
-0.138 |
-0.088 |
0.002 |
0.094 |
0.167 |
1931 |
The standard deviation and ranges of the 100/100 and 200/200 groups are essentially identical for WOWY WDiff and WOWL WDiff. The "effect" of Linesmen is the exactly same as the effect of skaters.
Linesmen have no effect on Corsi production but there are a number of skater-linesman WOWL pairs where the linesman appears to have a substantial effect on the player. That's not effect. That is simply randomness.
A Blues Example
Chris Stewart "with" Linesman Bryan Pancich 119 Events 65.5%
Chris Stewart 'without" Bryan Pancich 1068 events 46.5%
WDiff +19.0%