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03-21-2012, 02:47 AM | #11 | ||||
Pro Bowl
Join Date: Oct 2008
Posts: 6,052
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Re: Redskins Add WRs Pierre Garcon and Joshua Morgan
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I am more concerned with making projections about future production than about who was better in 2011-2012. So Moss and Gaffney produced those numbers. Can they maintain or surpass them next year, two years from now, etc? Similarly, will Smith and Brown be better, the same, or worse in 2012? Brown, Moss, and Gaffney are at the stage of their career where production trends downwards. This is correlated with the inputs becoming less productive. Whereas Smith is either going to do nothing and bust out of the league or he will improve his game because his inputs become "more productive". Did Moss and Gaffney produce better than Brown and Smith in 2011-2012? Sure. Can Moss and Gaffney keep up their level of play? Maybe. If not, production will trend downwards. Can Brown get better? He'll either stay the same or get worse. Can Smith improve substantially(aka get closer to his ceiling)? Yes, he can. He might stay the same or get worse...but he has to really slack off considering he held his own against fierce pass rushers. Separate from the matter of maintaining statiscal production levels are on-field impacts that are not tangible on the statsheet, such as drawing double coverage or being a deep threat; valuable commodities for opening up an offense. These are things not captured on the statsheet. Just as an aside, since you used Moss's 2010 stats, I will throw out there that Armstrong's DYAR that year was 133 compared to Moss' 117 and his DVOA was 7.4% compared to Moss's -2.1%. Food for thought. Quote:
I want to know what the stat means and what are its shortcomings. Such as if I were to explain what is Gross Domestic Product, I would have to explain what it measures and its shortcomings. Quote:
You provided absolutely no explanation of what DYAR and DVOA mean or their shortcomings, but yet I'm supposed accept my initial point is countered: 1. based one year's worth of data(small sample) 2. from data loaded with confounding variables 3. by using stats that measure output, not inputs And of course, rankings can hide things...like the actual values of the DYAR and DVOA. Quote:
Separately, the use of the fallacious line of thought that the same output value is due to viritually identical inputs is commonplace in your posts. There are easy counterexamples to this faulty reasoning. For example, two countries produce 100 units of clothes. One country used 100 units of labor and no units of capital to produce that many clothes. The other country used 1 unit of capital and 20 units of labor to produce that many clothes.
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Analysis using datasets (aka stats) is an attempt at reverse-engineering a player's "goodness". Virtuosity remembered, douchebaggery forgotten. The ideal character profile shoved down modern Western men and women's throats is Don Juan. |
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