Given the random nature of sports events, it's understandably hard to accurately project player performance in any given contest, especially in the NFL, with such a limited set of games to draw from. This presentation outlines a method to improve upon existing fantasy player projections published by professional sites (IE NFL.com) by incorporating sentiment based features into the projection model, and discusses results achieved with this approach.