I'm really not good at marketing or selling anything. I just know that what I have here is interesting and I want to share it. What I am sharing is the information from the 2006 season as an example of what the data shows and a track record to prove that it does work, although not perfectly. These players are human after all. It shows two percentages and the 2-8 score that represent standard deviations of the tools that provide this result. This is based on correlation studies of 20+ years of data. I can do this for every season from 1990-2012. Take a look, I hope it interests you.
The Group percentage correlates more to the players ceiling and the Unique percentage correlates more to the risk that the player faces in making it. If the group is high and the unique is low, they are likely to not be impact players. If they are both high, they could be impact players. If the group is low and the unique is high, they have a higher tendency of reaching the majors than others that have a lot of similar skills.
Here is the link to the Google PDF.
Here is a Primer on what I do.
Here is a link to more info on my site about the PDF.
The data for post-2006 is free to show what I am offering. The data for post-2012 is $9.99 and will be used to provide better minor league and amateur coverage in 2013 for my blog and Minor League Ball. I have one trip planned already and hope to add one or two more.