He compared McFadden's stats to the aggregate of second RBs and the like. It is what it is. You are only considering half of his presentation.
Good to get your input on this issue.
My primary point in this thread is that aggregating backup YPC stats is not a valid method of analysis. This has been my primary point in this thread regardless of anything else in regards to McFadden.
A bunch of Joseph Randle's 6.7 ypc stats can't just be added together to make an invalid sample size valid and show that Randle is better than Murray. It also can't be done to show any meaningful information about Oakland's backups.
I've known some people that their brain goes numb when Math is discussed and they just tune out. That is the only thing I can think of in regards to why a couple of posters can't grasp the concept.
In 2014 Seattle had the leading team rushing average at about 5.3 ypc and I think it was about 4.9 without the QB runs. Dallas was 3rd at 4.6 ypc. When Sturm adds together the backup RBs from Oakland for the past 3 years, he gets a 5.5 ypc. It seems that it would be obvious to anyone that Oakland's rushing attack when McFadden was not on the field was not better than the best NFL team's rushing attack; however, using his method of statistical gerrymandering he makes that appear to be the case.
I'm not saying that Sturm did or didn't use an invalid method intentionally in an attempt to prove a point. He likely just didn't realize what he was doing.
I don't know if McFadden is good or not, but Sturm's article did nothing to prove anything either way.
Maybe you can explain the statistical issue to 1 particular poster better than I can.