Finite-population evolution is a useful model of imitation learning.
This is especially so for asymmetric games when their Nash equilibria are not strict.
We study the evolutionary dynamics in these games when mutations are rare.
We provide a simple method of calculating the limit distribution.
It is simpler than for the symmetric game case, yielding sharper results.