BryanK -> Analysis of Default XML with Fictional Players v2.0 (9/10/2005 3:37:11 AM)
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Okay... Took longer than i had anticipated, but I finally found some time to pull all the data together. It's in the slides that you will find by following this link: http://home.comcast.net/~zbryanknight/Testing_Puresim_XML_2.0.ppt Here are the quick hits: 1. Stats are pretty consistent from year to year despite the XML multipliers. The most notable exception is 3b, which is *dead* on 2. The distribution of stat outputs for individual players is more skewed towards higher values and less diverse than in real life. (i.e. there's a big clump of "good" players in puresim instead of having some "good" players, a smaller bunch who are "really good", and a few stars) This analysis is a little less rock solid than the stuff I do at my job... mostly because the time investment would be rather killer if I got this stuff totally buttoned up. So I'd wind up doing hardcore analysis for like a week straight between home and office... and that's kinda draining. So if you think I jumped to a conclusion, or if anyone has any questions about my assertions -- specifically what's on the "Recomendations" slide, feel free to ask, and I'll elaborate on my thinking. Shaun - I can do more of the analysis that's put forth in section 2 -- the distribution piece -- but it's rather time intensive. The same basic points are put forth in section 3, just in a less concise fashion. Given that I have a stack of grad school applications to get through and a huge project at work, it'd be helpful to know exactly what you'd like to see for anything to be actionable before I went ahead and did it. ~Bryan
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