By creating a notional league-average team, i.e. a team that had the average offensive and defensive passing and running efficiency stats, and turnover margin, I could determing the probability that any NFL team would beat the notional average opponent. I could simulate a neutral site by setting the home field advantage variable to 0.5 (instead of 1 or 0).
Then by sorting the teams by their generic win probability vs. the average team, we can create an efficiency ranking, similar to the common "power" rankings but far more objective. Here is how the efficiency rankings ended for the 2006 season:
By the way, SS is for the Seahawks and NY is for the Jets. I had to use non-standard abbreviations so that the teams sorted in the same alphabetical order in abbreviated and non-abbreviated form.
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Efficiency Rankings
By
Brian Burke
published on 1/26/2007
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