Statistical-Dynamical Downscaling Models (SDDMs) are one of many tools used to project changes in hurricane risk. While SDDMs are efficient and lightweight tools compared to climate models, previous work has shown certain underlying methods in SDDMs do not represent certain important hurricane risk elements well, such as storm motion and landfalls. Here, we employ new techniques and revisit assumptions in a specific SDDM used for hurricane tracks (from Lin et al. 2023) to improve SDDM representation of storm tracks and to better our understanding of statistical storm modeling more generally.