included variables, an additional year of experience increased EPA/P by about 0.02. The inclusion of age is especially important, as we are focusing on the effect of experience on production. Having age in our regression allows us to compare how much better we would expect a 7-year veteran and 28-year-old quarterback, like Aaron Rodgers or Alex Smith, compared to a rookie 28-year-old quarterback, like Brandon Weeden. Surprisingly when the player was drafted did not have a significant effect on performance. There are two potential explanations as to why draft position did not have a significant impact on player performance. One reason is the high bust rate at the quarterback position. Players such as JaMarcus Russell and Tim Couch, both taken with the first overall pick in their respective drafts, are classic examples of players failing to perform to the level of their draft position. The second reason is the play of quarterbacks such as Tom Brady and Marc Bulger, who consistently performed at a top level despite being taken with 6 th round picks. As the data shows, experience does have a significant effect on quarterback performance, suggesting the league is indeed in a flux with a high number of teams looking to rebuild. These teams are inserting inexperienced quarterbacks even though more experienced quarterbacks perform significantly better. Perhaps we will see these young signal callers take the league by storm and thrive despite their lack of experience; however based on the past ten seasons though such expectations should be