[M]y take on the article it seems like it wants to level the playing field into a utopian league where everyone is playing on a level field. It adjusts for an easy schedule, but the truth is for a QB Like M Hasselbech it is going to be an easier task playing against teams like; SF, STL, and ARZ twice each every year, than someone like C Frye who plays against Balt, Pitt, and Cinncy twice.
However, as a 2006 projections tool, one more variable should be considered, which is the schedule DIFFERENTIAL between 2005 and 2006. In other words, adjusting for the norm only tells us how the QBs would do if everyone played an average schedule. But all schedules aren't equal.
Some of the QBs who played an easy 2005 schedule have an easy expected 2006 schedule, while some have a hard expected 2006 schedule. So the ultimate tool would be to further adjust the value of these QBs based on their expected 2006 schedule.
Hey guys,I understand what you're getting at, and I hope I can explain my reasoning here. You've correctly determined that I'm trying to get the QBs on a level playing field. I want this to be entirely objective; that way when I start my QB rankings, I don't have to say "well XXX was good but he had an easy schedule." I can just look to my value added column.
2006 SOS, conversely, is
subjective. But while objective isn't always good and subjective isn't always bad, here's the problem.
With rearview SOS analysis, we know exactly what happenned. Let's pretend we have this:
The league average QB scores 15 FP/G. Team Defense Z played 16 games last year, and its first 15 games were against 15 QBs that all averaged 15 FP/G. So we know that Team Z's schedule (through 15 games) was exactly the league average.
In those 15 games, Team Z allowed 10 FP/G. So we should feel pretty confident that Team Z cuts off a QB's FP/G by 5 FPs. Now, QB A is going to play Team Defense Z in the 16th game. QBA averages 20 FP/G. We can confidently reduce QBA's points by 5 (you might argue for a 33% reduction; the practical difference is minimal, and I'd prefer using -5), and project for QBA 15 points against Team Z.
So that's all well and good. Nice, objective analysis.
Now, it's Year N+1. And we
project Team Z to be 5 points per game stingier than average. But here's the problem: our projections aren't very good. We need to discount any QB playing Team Z not by 5 points, but by a much smaller number. Team Z might have lost two LBs, could have gotten cocky in the off-season, or changed their scheme. Maybe injuries will hit Team Z. Maybe their offense will change and the team dynamic will hurt the defense. Whatever it is, we need to discount that "-5" you want to give all QBs that play Team Z. It's unclear to me what it is; some astute people think we might want to only hurt a QB playing Team Z by 10%.
So in the end, I'm not going to add in 2006 schedule to my article, because it's not worth it to subtract 0.5 FP/g to each QB, or whatever the number is. Clayton Gray does a bangup job with his 2006 SOS analysis, and he even compares it to 2005 numbers (which was partly the inspiration for my article).
Hope that helps.