Audiorecordingsofclassicalmusicpiecesreflecttheartistic interpretation of the piece as seen by the recorded performing musician. With many recordings being typically availableforthesamemusicpiece,multipleexpressiverendition variations of this piece are obtained, many of which are induced by the underlying musical content. In earlier work, we focused on timing as a means of expressivity, and proposedalight-weight,unsupervisedandaudio-basedmethod to study timing deviations among different performances through alignment patterns. By using the standard deviation of alignment patterns as a measure for the display of individuality in a recording, structural and interpretational aspects of a music piece turned out to be highlighted in a qualitative case study on five Chopin mazurkas. In this paper, we propose an entropy-based deviation measure as an alternative to the existing standard deviation measure. The obtained results for multiple short-time window resolutions,bothfromaquantitativeandqualitativeperspective, strengthenourearlierfindingthatthefoundpatternsaremusically informative and confirm that entropy is a good alternativemeasureforhighlightingexpressivetimingdeviations inrecordings. 1.