tag:blogger.com,1999:blog-8580227844881123874.post4469429492890457632..comments2008-12-27T07:19:30.724-06:00Jaimehttp://www.blogger.com/profile/16907581331686653661noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-8580227844881123874.post-14433408465753267642008-12-27T07:19:00.000-06:002008-12-27T07:19:00.000-06:00Jamie will you have any picks for Week 17?siggyhttp://www.blogger.com/profile/02336323090582987345noreply@blogger.comtag:blogger.com,1999:blog-8580227844881123874.post-16353880269272520792008-12-22T04:47:00.000-06:002008-12-22T04:47:00.000-06:00Jamie I too have always thought that there was a way to beat the spread. However, I have come to the conclusion that each season brings with it new trends and strictly relying on historical data will cause you to lose or at best be 50/50. What must be done to be successful is to quickly identify the current season trends and incorporate that with your historical data. I guess I sort of agree with what Stephen is saying.The model must be flexible enough to throw history out if a contrary trend is quickly identified. Good luck in the playoffs and I hope this will not be your last season.siggyhttp://www.blogger.com/profile/02336323090582987345noreply@blogger.comtag:blogger.com,1999:blog-8580227844881123874.post-20421851774739832352008-12-21T21:55:00.000-06:002008-12-21T21:55:00.000-06:00is there a potential to weight different aspects that skew the model? suppose this year running backs make a bigger difference than the previous year where receivers were the deal, can that be seen and adjusted for?stephenhttp://www.blogger.com/profile/01856257698235925029noreply@blogger.com