Studies investigating user control of pressure input have reported time-accuracy trade-offs of, on average, over 30%, when interacting with a large number of pressure levels. To increase the level of control with pressure input, we de-signed and evaluated four different discretization functions: linear, fisheye, visual fisheye, and clustered. The fisheye discretization dynamically modifies the range of pressure values based on the position of the pressure cursor. Our results show that a fisheye function results in significantly lower error rates and a lower number of crossings than have been reported in the literature. Furthermore, the fisheye function improves control without compromising speed. We discuss the findings of our study and identify several design recommendations for integrating pressure control into common interface tasks.