Using some data from the NFL Savant website, where they have gathered play by play data for the NFL this season, I pulled out every punt through week 15 and how far it traveled. From there I computed the descriptives for each punter. hen, performing an ANOVA test, I was able to conclude that there was in fact a difference amongst punter means.
ANOVA Results
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|||||
Yardage
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|||||
Sum of
Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
Between Groups
|
6578.996
|
31
|
212.226
|
2.749
|
.000
|
Within Groups
|
164029.928
|
2125
|
77.191
|
||
Total
|
170608.924
|
2156
|
I also then tested for a difference in variances, ie whether or not the difference in means could be accounted for by the variance in their punts. This was not the case though, as the Levene test gave us the inclination that punter to punter variance is the same
Test of
Homogeneity of Variances
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Yardage
|
|||
Levene
Statistic
|
df1
|
df2
|
Sig.
|
1.282
|
31
|
2125
|
.138
|
Followign this gives us that we needed to do some Post Hoc work to determine exactly where each punter falls in the hierarchy of the league.
Tier
|
Punter
|
Average
|
1
|
48.39
|
|
J.HEKKER
|
48.39
|
|
2
|
47.93
|
|
M.BOSHER
|
47.93
|
|
3
|
45.65
|
|
K.HUBER
|
46
|
|
P.O'DONNELL
|
43.95
|
|
B.ANGER
|
45.9
|
|
P.MCAFEE
|
47.81
|
|
D.COLQUITT
|
45.71
|
|
B.COLQUITT
|
43.58
|
|
M.DARR
|
47.48
|
|
R.QUIGLEY
|
43.66
|
|
S.KOCH
|
47.84
|
|
B.PINION
|
43.96
|
|
M.SCIFRES
|
44.7
|
|
T.WAY
|
45.59
|
|
B.KERN
|
47.17
|
|
C.JONES
|
45.75
|
|
C.SCHMIDT
|
45.59
|
|
R.ALLEN
|
45.65
|
|
S.MARTIN
|
46.07
|
|
T.MORSTEAD
|
44.94
|
|
M.KING
|
44.27
|
|
A.LEE
|
46.66
|
|
B.NORTMAN
|
45.83
|
|
D.JONES
|
47.41
|
|
T.MASTHAY
|
43.68
|
|
B.WING
|
44.84
|
|
J.RYAN
|
45.82
|
|
S.LECHLER
|
46.93
|
|
4
|
42.27
|
|
D.BUTLER
|
42.37
|
|
J.BERRY
|
42.19
|
|
J.SCHUM
|
42.25
|
|
5
|
42.05
|
|
J.LOCKE
|
42.05
|
|
The above table breaks down the Tukey test results. There is a decent break down of punters in the league, with there being 5 different groupings. However, much like place kickers where there are some very good, and some very bad players earning money in the league, a majority of them all fall together, with a bit of luck helping to determine a punt travelling either 45 or 43 yards on a play.
This of course is a fairly rudimentary analysis. A punt that travels 35 yards might force a fair catch when one that goes 60 outkicks the coverage units and allows a big return. IT would be interesting to see as well with more detailed data if some punters are sacrificing some distance for more control, like pinning in a returner on the sideline versus kicking it straight down the middle.
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