SameSongNDance
Footballguy
I'm bored and not particularly good at math but this intrigues me none the less. The time span I chose was arbitrary.
*ppr scoring
2009
WR STD = 1.37 Mean = 17.7
RB STD = 3.37 Mean = 17.85
2010
WR STD = 1.79 Mean = 17.2
RB STD = 2.72 Mean = 18.21
2011
WR STD = 2.23 Mean = 17.5
RB STD = 3.49 Mean = 17.97
2012
WR STD = 1.77 Mean = 18.2
RB STD = 2.37 Mean = 16.91
2013
WR STD = 1.76 Mean = 18.9
RB STD = 3.21 Mean = 18.1
From this data I can draw a couple of conclusion. Please correct me if I'm wrong, I really just want to generate discussion.
*ppr scoring
2009
WR STD = 1.37 Mean = 17.7
RB STD = 3.37 Mean = 17.85
2010
WR STD = 1.79 Mean = 17.2
RB STD = 2.72 Mean = 18.21
2011
WR STD = 2.23 Mean = 17.5
RB STD = 3.49 Mean = 17.97
2012
WR STD = 1.77 Mean = 18.2
RB STD = 2.37 Mean = 16.91
2013
WR STD = 1.76 Mean = 18.9
RB STD = 3.21 Mean = 18.1
From this data I can draw a couple of conclusion. Please correct me if I'm wrong, I really just want to generate discussion.
- The average WR1 has become more valuable (in general and in comparison to RBs) over time.
- RB1 values are spread farther from the mean. Unsurprisingly, there's larger disparity between the top tier RB1s and the rest of the field.