The traditional compositional approach (CA) has better accuracy than CMCBP because the candidates are ranked by their frequency in the target language corpus while the candidates in CMCBP are ranked by the similarity measure, so theoretically those translated by CA are also translated by CMCBP but with the same similarity score (1.0).
the final rank in CMCBP is to some degree randomized as multiple top candidates have the same score.