Recently, person-centered approaches have begun to be explored to examine how risk and strength factors are dispersed across heterogenous, correctional populations. The goal of the present study was to examine the utility of a person-centered approach with the Dynamic Risk Assessment for Offender Re-entry (DRAOR). The sample consisted of 510 justice-involved males from the state of Iowa. Latent class analysis yielded five classes, a low dynamic risk/high protective class, a moderate to high dynamic risk/moderate to high protective class, a moderate dynamic risk/moderate protective class, a problematic employment/insufficient social support class and a low to moderate dynamic risk/moderate protective class. Additional analyses revealed differences amongst the classes related to static risk, age, race, and recidivism outcomes. AUC analysis demonstrated limited utility of the latent classes when predicting recidivism, supporting the continued use of DRAOR total scores to predict outcome. The resultant classes provide information to enhance case management practices.