This site is a public logbook on the development of a baseball data model that measures baseball player value and ranks them from best to worst. This model contains the current 30 MLB franchises, their minor league affiliates, and their historical teams. It covers all seasons and all players from 1900 – 2017.
Browse the Table of Contents for more information. We covered the 2017 season extensively. Not much published here in 2016 even though the Cubs won and it has been sporadic the years before starting in September 2013.
The goal of this data model is to become an app that user can quickly evaluate a player being talked without knowing anything about baseball. They can then become the smartest person in the room about that player. There will be a handicapping component but that is a work in progress and hasn’t been proven. We have a solid proof for the WAA measure, something WAR does not have.