Individuals who experience problems with anger represent a heterogeneous group. Identifying clinically relevant subtypes of anger may advance treatment research. In the current study, latent profile analysis (LPA) was conducted to explore if distinct subtypes of anger could be identified within a sample of individuals seeking treatment for maladaptive anger (N = 538; 55.4% females; mean age = 39.78, SD = 12.28). Furthermore, the utility of the empirical classification was examined based on differences in usage of emotion regulation strategies (cognitive reappraisal, expressive suppression, mindful emotion awareness and relaxation) across subtypes. Four anger profiles were identified in the best-fitted LPA model: Low Anger (n = 153, 28.4%), Anger In (n = 91, 16.9%), Moderate Anger (n = 193, 35.9%) and High Anger (n = 101, 35.5%). Results from the multinominal regression revealed that the use of emotion regulation differed across all profiles. Participants from the High Anger and Anger In profiles exhibited distinct patterns of dysfunctional emotion regulation. The results add to the increasing amount of evidence demonstrating a link between emotion regulation strategies and maladaptive anger. Clinical implications on how to tailor treatments for individuals with maladaptive anger are discussed.