To explain the columns below, Median is a median point spread, and can be used to get a feel for how good a team is without overly weighting a blowout win or blowout loss. HS is Brian Burke’s Homemade Sagarin, as implemented in Maggie Xiong’s PDL::Stats. Pred is the predicted Pythagorean expectation. The exponent for this measure is fitted to the data set itself. SOS, SRS, and MOV are the simple ranking components. MOV is margin of victory, or point spread divided by games played. SOS is strength of schedule. SRS is the simple ranking.

Presently, New England,  Houston, and Green Bay are at the top of the medians, San Francisco, Green Bay, and Houston own the Pythagroreans, and leading SRS are Green Bay, San Francisco, and Houston. In most statistical scoring measures, Green Bay and San Francisco are separating themselves. Matt Leinert has a challenge duplicating the success of Matt Schaub in Houston. And the Giants: a team outperforming its own metrics. Though Tim Tebow is the clutch quarterback of the moment, just where would New York be without their quarterback?