I was on vacation  the week of the 16th, and my job has me weighted down with electronics (being a leveraged asset comes with some debits). Thus, I didn’t take anything with me to calculate the week 16 stats. They are included below.

And of course, week 17 stats, so we can so some serious playoff discussions, largely following my logistic regressions of playoff metrics from the previous year.

To explain the columns above, 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, analyzed via this Perl implementation. MOV is margin of victory, or point spread divided by games played. SOS is strength of schedule. SRS is the simple ranking.

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