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#37 |
MVP
Join Date: Oct 2011
Location: Michigan
Casino cash: $-1340000
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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.. |
Posts: 14,143
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