2017 RB Workhorse Scores – A Big Surprise at the Top

Yes, you’re looking at the right image. Wayne Gallman. And yes, this is the same Wayne Gallman who couldn’t get out of the first round of the RotoViz March Madness RB Bracket against a player who’s not even a true running back. I thought it was a calculation error at first. But before I get into explaining how it came to be that Gallman tops a RotoViz prospect list, let me explain what I’m doing here and what we’re looking for in workhorse RBs.

nQBDR and Workhorse Score

In 2013, Matthew Freedman introduced us to the non-QB Dominator Rating (nQBDR). This metric averages a player’s market share of his team’s non-QB rushing yards with his market share of his team’s non-QB rushing touchdowns. It measures how involved a running back is in his team’s total rushing production once QB rushing is removed. That is, when a team hands the ball off to a RB, who’s getting those carries and what are they doing with them? About a year later he revised this metric to come up with the Workhorse Score, which measures the same thing, but in a more refined and useful way. Workhorse Score ignores games that were decided by more than 28 points (because teams are apt to bring in backups in blowouts). It also ignores games in which a player left early due to injury unless including that game improves the player’s Workhorse Score. Today I’m continuing Freedman’s work by applying his methods to the 2017 class of RBs. What follows are the final-season Workhorse Scores for the most draftable RBs—that is, RBs who either appear in the RotoViz Scouting Index, or who were invited to the combine.

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By Blair Andrews | @AmItheRealBlair | Archive

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  1. Tremendous work by Blair on this project. Matthew Freedman would be proud.

  2. Anyway you look Mcnichols always pops up as a great prospect.

    I have to try to get him in more MFLs because if he is drafted until the 3rd or by a team with opportunity available his stocking is going to soar.

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