In my first piece for RotoExperts, I detailed the stats that matter at the wide receiver position. For over 50 statistics I was able to find key thresholds to help see how likely it would be for a prospect to succeed. WR prospect evaluation is a difficult task but I have approached it from a pure mathematical lens.
But what happens when we blend them all together?
Using statistical programming, we have the ability to not just look at individual statistics, but a combination of statistics in a single regression tree model. The program will determine the statistics of highest significance, and split our sample into various buckets.