I’m sure most of you have heard the word “PECOTA” at some point when reading about baseball analysis and statistics. Basically, PECOTA was developed/created by Nate Silver at Baseball Prospectus. It’s basically a really complex algorithm that analyzes players in a number of advanced metrics, and the power of the system is basically that it takes just about anyone that has ever played the game and puts their data along side the players it is comparing them to, and then tries to figure out which direction the current player’s career will go, based on what has happened to similar players in the past. The system is incredibly complex, and if you haven’t ever read up on it, I’d suggest reading the wikipedia entry here before you dig into this post. While PECOTA is useful for projecting major league statistics for the upcoming season, it’s also useful to get a snapshot of which prospects the system seems to like, and which prospects the system isn’t as high on.