1Objectives: Endovascular treatment for acute ischemic stroke with a large vessel occlusion was recently shown to be effective. We aimed to develop a score capable of predicting large vessel occlusion eligible for endovascular treatment in the early hospital management. Design: Retrospective, cohort study. Setting: Two tertiary, Swiss stroke centers. Patients: Consecutive acute ischemic stroke patients (1,645 patients; Acute STroke Registry and Analysis of Lausanne registry), who had CT angiography within 6 and 12 hours of symptom onset, were categorized according to the occlusion site. Demographic and clinical information was used in logistic regression analysis to derive predictors of large vessel occlusion (defined as intracranial carotid, basilar, and M1 segment of middle cerebral artery occlusions). Based on logistic regression coefficients, an integer score was created and validated internally and externally (848 patients; Bernese Stroke Registry). Interventions: None. Measurements and Main Results: Large vessel occlusions were present in 316 patients (21%) in the derivation and 566 (28%) in the external validation cohort. Five predictors added significantly to the score: National Institute of Health Stroke Scale at admission, hemineglect, female sex, atrial fibrillation, and no history of stroke and prestroke handicap (modified Rankin Scale score, < 2). Diagnostic accuracy in internal and external validation cohorts was excellent (area under the receiver operating characteristic curve, 0.84 both). The score performed slightly better than National Institute of Health Stroke Scale alone regarding prediction error (Wilcoxon signed rank test, p < 0.001) and regarding discriminatory power in derivation and pooled cohorts (area under the receiver operating characteristic curve, 0.81 vs 0.80; DeLong test, p = 0.02). Dr. Vanacker contributed to study concept and design, analysis, interpretation, and preparation of the article. Dr. Heldner contributed to data acquisition and analysis and critical revision of the article for important intellectual content. Dr. Amiguet contributed to data analysis and interpretation and preparation of the article. Dr. Faouzi contributed to data analysis. Dr. Cras contributed to critical revision of the article for important intellectual content. Dr. Ntaios contributed to the study concept and design, data analysis, and critical revision of the article for important intellectual content. Dr. Gralla contributed to data acquisition and analysis. Drs. Arnold and Mattle contributed to data analysis and critical revision of the article for important intellectual content. Dr. Fischer contributed to study concept and design, data acquisition and analysis, and critical revision of the article for important intellectual content. Dr. Michel contributed to study concept and design, data acquisition, analysis, and interpretation, and critical revision of the article for important intellectual content, study supervision.