The capabilities of combustion performance predictors to reliably predict the sooting tendencies of aviation fuels in jet combustors were evaluated. The test matrix included two primary fuel sets which were representative of current and future aviation fuels and combustor data, which consisted of radiation and soot data from two different combustors at specific levels of operation. Four of the predictors evaluated were based on a single parameter, viz., three current predictors (smoke point, hydrogen content, and total aromatics content), and one new predictor, Shell’s Premixed Burner Number. The remaining predictors, which were based on more than one parameter, include Rosfjord’s correlation, Chin-Lefebvre’s correlation, a smoke point-hydrogen content combination predictor, and, in addition, three new trial predictors, of which two were based on composition and one on a combination of differentiated aromatics content and smoke point. The results indicate two of the new trial predictors exhibited the best overall predictability. These two trial predictors are monocyclic aromatics important extensions of the parameters employed in Rosfjord’s and Chin-Lefebvre’s correlations, respectively. The better predictabilities of the two trial predictors are likely attributable to better weighting of the compositional contributions to sooting, particularly at the highest power demand.