Context: The Function Movement Screen (FMS) is an assessment tool to assess quality of human movement. Research reports a significant difference between FMS scores of subjects who later experienced inury and those uninjured. Objective: The objective of this study was to systematically review literature related to predictive validity of the FMS. From the aggragated data, meta-analysis was conducted to determine prognostic accuracy of the FMS. Data Sources: PubMed, Ebscohost, Google scholar, and the Cochrane Review databases were searched between 1998 and Feb 20th, 2014. Study selection: Identified studies were reviewed in full detail to validate inclusion criteria. Seven of the elven identified studies were included. Articles were reviewed for inclusion criteria then bias assessment and critical analysis was conducted. Study Design: Systematic review and meta-analysis. Level of Evidence: Level 1. Data Extraction: Data extracted included: study type, methodology, study subjects, number of subjects, injury classification definition, FMS cut core, sensitivity, specificity, odds ratios, likelihood ratios, predictive values, Receiver Operator Characteristic (ROC) analysis, and Area Under the Curve (AUC). Results: Overall bias for the included seven studies was low in respect to patient selection and flow and timing. Study quality assessement scored one study 5/7, two studies were scored 3/7 and four studes were scored 2/7 for quality. The meta-analysis indicated the FMS to be more specific than sensitive with a positive predictive value of 42.8% and a negative predictive value of 72.5%. AUC was determined to be 0.587, LR+ 1.7, LR- .87, CI=0.6-6.1 and effect size was determined to be 0.68. Conclusion: Based upon analysis of the current literature, findings do not support the predictive validity of the FMS. Methodological and statistical limitations identified by this study threaten the ability of the research to determine the predictive validity of FMS.