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.
It has been interesting watching various teams land atop various metrics. Medians favor Houston, Baltimore, and Green Bay. SRS favors Houston, Green Bay, and San Francisco. Pythagoreans favor San Francisco, Detroit, and Baltimore.