An increased appreciation of the importance of optimizing drugbinding kinetics has lead to the development of various techniques for measuring the kinetics of unlabeled compounds. One approach is the competition-association kinetic binding method first described in the 1980s. The kinetic characteristics of the tracer employed greatly affects the reliability of estimated kinetic parameters, a barrier to successfully introducing these kinetic assays earlier in the drug discovery process. Using a modeling and Monte Carlo simulation approach, we identify the optimal tracer characteristics for determining the kinetics of the range of unlabeled ligands typically encountered during the different stages of a drug discovery program (i.e., rapidly dissociating, e.g., k off 5 10 minute 21 low-affinity "hits" through to slowly dissociating e.g., k off 5 0.01 minute 21 high-affinity "candidates"). For more rapidly dissociating ligands (e.g., k off 5 10 minute 21), the key to obtaining accurate kinetic parameters was to employ a tracer with a relatively fast off-rate (e.g., k off 5 1 minute 21) or, alternatively, to increase the tracer concentration. Reductions in assay start-time #1second and read frequency #5 seconds significantly improved the reliability of curve fitting. Timing constraints are largely dictated by the method of detection, its inherent sensitivity (e.g., TR-FRET versus radiometric detection), and the ability to inject samples online. Furthermore, we include data from TR-FRET experiments that validate this simulation approach, confirming its practical utility. These insights into the optimal experimental parameters for development of competition-association assays provide a framework for identifying and testing novel tracers necessary for profiling unlabeled competitors, particularly rapidly dissociating lowaffinity competitors.