It is known that there are privileged reagents that perform well across the board for a multitude of reactions, and there are those who's utility is narrow. Identifying the best-and worst-in-class reagents is therefore key to understanding a reactome. However, detangling the impact of a reagent from the inherent reactivity of the reactant(s) is challenging. We chose to compare relative yields which had been normalized through Z-scores, a technique that has shown promise in analysis of HTE data . Notably, this framework allows for other target reaction outcomes to be used such as diastereoselectivity / enatioselectivity. ANOVA on the normalized target reaction outcome reveals the broad variables (solvent, base, catalyst system, temperature, etc.) that are statistically relevant for that reaction outcome . Tukey's HSD test is then used to identify the outliers in each statistically significant variable, which are then ranked by average z-score to provide the bestand worst-in-class reagents .