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.

At this juncture, Baltimore was upset by Jacksonville 12-7, and consequently, there are changes at the top of the various stats. New Orleans sits atop the HS rankings, while Baltimore still has edges in median point spread and Pythagorean expectation. But I suspect for many the statistical darling of the moment is San Francisco, with solid Pythagoreans, a good record, and the best simple ranking of them all.

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