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Old 04-21-2018, 07:13 PM   #51
kccrow kccrow is offline
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Join Date: Oct 2011
Location: Michigan
Number of Punters above and below one standard deviation from the mean by year:

2017: >1STDEV = 5, <1STDEV = 3
2016: >1STDEV = 6, <1STDEV = 4
2015: >1STDEV = 6, <1STDEV = 6
2014: >1STDEV = 7, <1STDEV = 8
2013: >1STDEV = 2, <1STDEV = 5

Here are the approximate ranges within 1STDEV of the mean, so the data I worked with were for punters above and below these:

2017 1STDEV = 42.98% to 30.42%
2016 1STDEV = 44.69% to 29.99%
2015 1STDEV = 42.29% to 27.85%
2014 1STDEV = 41.68% to 28.90%
2013 1STDEV = 41.41% to 28.59%

I combined these into 1 list to get some data, and so I ended up with 26 punters in total in each category.

>1STDEV
Average %IN20 = 46.4% (Min 42.5%)
Average W% = 59.6%
Average PTS/G = 20.9
Average YDS/G = 344.4

<1STDEV
Average %IN20 = 26.1% (Max 30.0%)
Average W% = 35.1%
Average PTS/G = 24.2
Average YDS/G = 352.6

If I take the data set as a whole I get the following correlations:
IN20% to YDS/G = -0.140
IN20% to PTS/G = -0.430
IN20% to W% = 0.565

What I've learned. It is better to have a great punter in terms of %IN20 than an absolutely shitty punter. That said, overall that means you need to find a punter that is within 1STDEV of the mean or better. It may indicate as well that if you have a punter that is better than one standard deviation from the mean, he is an advantage.

In case you're curious, here's the best and worst through the past 5 years in terms of %IN 20.

Spoiler!

Last edited by kccrow; 04-21-2018 at 07:49 PM..
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