Observation of a conversion-dependent enantioselectivity in asymmetric reac
tions with nonenantiopure catalysts or reagents may be diagnostic of kineti
cally complex behavior. This paper shows how reaction simulations based on
parameters derived from initial enantioselectivity data provide an extensio
n of the Kagan MLn models as powerful mechanistic tools in asymmetric synth
esis. This approach is illustrated for an example of a stoichiometric reduc
tion of aralkyl ketones with chiral borane reagents and is also discussed f
or several cases of catalytic reactions.