[That Guy]

Originally Posted by Schneed10

I'd be interested to hear what kind of analysis you're doing to strip out the covariances involved with the multiple variables driving team performance. That's the big reason sabermetrics has not caught on in football. With baseball, you can normalize your data set rather easily because in the end, it largely boils down to a pitcher vs hitter matchup, with a few variables like day vs night, score, and situation to adjust for. But in football, the QB's performance depend's upon the line's ability to block the defense, the WRs' ability to get open, the effectiveness of the running game, the score, the quarter, etcetera. It's hard enough to quantify some of these variables, and even harder to mathematically formulate the covariance quotients to effectively tease them out and normalize your data. Have you done anything on this front?

yeah, i watch the game.




but i did make a neat equation if you're interested:
good players = win more games.

yay!