Yes, I compile a list of 22 power rating systems and use a convoluted averaging system to get what I think the appropriate line should be. Like I said, I do it for college and not pro because, in my experience, NFL power ratings have, tradiitionally, not been good indicators. I think the reason for that is that old adage "anyone can beat anyone on any given Sunday" applies strongly in the NFL.
Traditionally, I have done well relatively in college and given it all back in NFL. This year, I'm down overall in college and up a little in NFL (down overall because I go harder on college games). My power ratings yielded Wyoming, Michigan, Kansas, Florida Atlantic, UCLA and Louisana Tech last weekend for (4-2). The strongest play was Wyoming. The last two weekends were bad though. It seems to go in spurts.
I just cant figure out NFL though. I wish I had a reliable system to at least give me a gauge on how it could turn out. Thus far, I got nuthin.
The biggest problem I have is that I have to input every number manually in an Excel spreadsheet. That takes an awfully long time (approximately 10 minutes per game). When there is a full slate of college games, it can take me 8-10 hours before I have a good feel of what is happening. That's a lot of stinkin time.
I could use some compilers on the internet that have already computed the theoretical lines for these power rating systems but I have found that they are not exactly accurate sometimes. Therefore, I do it myself and, certainly, I make mistakes as well but I trust me more than I do these compilers. The other part is that Home Field Advantage is taken into account but no emotional advantage. This is purely a number without any emotion involved.
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