A number of recent reforms in psychological science have centered around following best practices to improve the robustness and reliability of empirical findings. Among these, preregistration has become a fundamental component, on the rise in the last few years, yet it remains relatively uncommon in expertise research. In this paper, I point out the numerous benefits of preregistration, drawing on specific examples from the field of expertise. I then examine some of the challenges the field of psychology is currently facing to implement systematic preregistration, including many that are particularly exacerbated in expertise research. Specifically, I discuss widespread design characteristics such as small sample sizes, the lack of consistent definitions regarding what constitutes expert performance, and inherent difficulties in conducting replication studies with rare, elite populations. Finally, I make a number of recommendations to facilitate preregistration in expertise research, including tips to handle and report deviations from original plans, and discuss future directions toward more prevalent open science practices.