At the heart of America's favorite pastime, professional baseball organizations look to build teams and develop game strategies in the pursuit of championships with the heavy influence of statistics. Major League Baseball, in particular, utilizes analytical tools fitted in every stadium and practice facility to obtain terabytes of data. Each professional front office employs anywhere from 10-40 data analysts to find ways to create statistical advantages in competition. These analysts evaluate individual offensive players and play them in a way that maximizes run production. For the low budget 2002 Oakland Athletics, analysts looked at one player statistic that was the driving force in creating their lineup; on-base percentage. This pioneering approach, famously depicted in the film "Moneyball," exemplified one of the earliest instances of using data to shape baseball management decisions. In this paper, I focus on a different player statistic and its involvement with offensive production; pitches per plate appearance. It is a common notion that making a pitcher throw more pitches provides an offensive advantage, but there is no work suggesting how to build an offense based on extending at bats. I test the hypothesis that batters seeing more pitches can maximize team offensive production.