We could sure use it. There's an intriguing article at the numbers-heavy "Football Outsiders" website talking about applying the standardized statistical principles that are now accepted and commonplace in both baseball --remember Moneyball? And the SABR crew? -- and professional football.College football is sort of that last statistical frontier, the Alaskan wilderness for the numbers crowd. But instead of Sarah Palin being our tour guide, we have Football Outsiders.
They begin with the obvious:
The most frustrating thing about college football stats is that while one team is putting up good numbers against a good team, some other team is putting up great numbers against a terrible team. It's impossible to get too much information from statistical rankings because of that.
It's generally accepted that the numbers achieved in say, SEC play simply won't be on par with those in the Sun Belt or MAC. Given this, analysts and fans have adjusted as they can and the differences have been played out rhetorically in the ongoing public conversation of college football.
A new math -- similar to that which is now common for high level statistical baseball and football analysis -- may be coming to cut through some of that fog.

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For anyone who's read the fantastic 
























