The study aimed to identify predictors for developing end-stage heart failure and evaluate the role of biomarkers in predicting adverse outcomes in arrhythmogenic right ventricular cardiomyopathy (ARVC). We showed that biomarkers (sST2, MMP-2, NT-proBNP, and hsTnT, but not Gal-3 and MMP-9) have a prognostic value for death or heart transplantation in ARVC, while they have no role in predicting ventricular arrhythmia. Moreover, we propose a prognostic model for end-stage heart failure including three independent predictors: NT-proBNP concentration ≥ 890.3 pg/ml, right ventricular end-diastolic area ≥ 39.0 cm2, and history of atrial tachycardia. Such a model may be helpful for clinicians in the day-to-day management of patients with ARVC.