Introduction: Functional outcome data following intracerebral hemorrhage (ICeH) is often unavailable or difficult to collect from real-world data sources. We sought to develop a composite scoring system for predicting functional outcome post-ICeH using various proxy measures and risk factors that can be easily and accurately assessed retrospectively. Methods: Data from patients with spontaneous ICeH in the prospective, observational ERICH study were used to derive a risk stratification score (SAVED 2 ) to predict an unfavorable modified Rankin Scale (mRS) score (defined as 3-6) at 90 days. Independent predictors of unfavorable mRS were identified via multivariable logistic regression. Significant predictors were assigned score weights based on the effect size. Area under the curve (AUC) was used to measure the score’s discriminative ability. External validation was performed using data from the Phase 3 ATACH-II trial in patients with spontaneous supratentorial ICeH. Results: There were 2175 patients from ERICH with valid mRS data who survived to hospital discharge. Predictors independently associated with unfavorable 90-day mRS and their corresponding point values included: need for ventilation (odds ratio [OR] = 2.7; 1 point), hospital length of stay ≥8 days (OR = 2.7; 1 point), prior stroke history (OR = 2.8; 1 point), age ≥70 years (3.8; 1 point), and discharge to locations other than home (OR = 5.3; 2 points). Incidence of unfavorable 90-day mRS increased with higher SAVED 2 scores ( P <0.001; Table). The AUC in ERICH was 0.82 (95% confidence interval [CI]: 0.80-0.84). External validation in 882 eligible patients from ATACH-II found an AUC of 0.74 (95% CI: 0.70-0.77). Conclusions: The SAVED 2 score predicted unfavorable mRS in patients with ICeH based on easily accessible data collected at hospital discharge. SAVED 2 could potentially serve as a tool to approximate functional outcome post-ICeH when standard outcome measures, such as mRS, are unavailable.