Objective: To determine if the FMS™ could predict lower extremity injury in division one women’s basketball, soccer and volleyball athletes. The secondary purpose of this study was to examine factors in injury prediction related to contact mechanism. Finally, we wished to make FMS performance comparisons between women’s basketball, soccer and volleyball players to establish baseline comparisons. Design, Setting, and Data Source: Testing and data collection was performed at The University of Toledo. The testing included the women’s basketball, soccer and volleyball teams with the ages of the athletes ranging from 17 – 22 years old. Before testing, each subject completed a questionnaire providing demographics such as age, previous/current injuries, brace/tape use, and participation in conditioning programs. The data collected was separated into three groups: all subjects, subjects with previous history of lower extremity injury, and subjects without previous history of lower extremity injury. To determine if there was a significant difference in FMS™ scores between athletes that were injured and athletes that were not injured during the regular competitive seasons, independent t-tests were performed on each group with significance being set at P<0.05. To determine if there was a significant difference between sports, between body parts injured groups, and between mechanism of injury groups, one-way analysis of variances were used. To determine cutoff scores, a receiver-operator characteristic (ROC) curve was used to plot sensitivity (true positives) versus 1-specificity (false positives) for the screening test. A 2x2 contingency table was produced in order to dichotomize the athletes that suffered an injury and those who did not, as well as those who were above or below the specified cutoff score. From the table, odds ratios, likelihood ratios, sensitivity and specificity were calculated. Results: A total of 55 athletes were included in, and completed the study. Of the 55 subjects, 13 of them suffered an acute, lower extremity injury that caused them to be held out of one or more consecutive athletic exposures (practice or competition). There was no statistical difference between the pre-season FMS™ scores of the injured and non-injured groups (t55 =-1.68; P=.100; d=0.52; 95%CI: -0.11, 1.15). For all of the subjects, a cutoff score of 16.5 was found that maximized sensitivity (0.615) and specificity (0.738). An odds ratio was calculated at 4.50, meaning that an athlete has an approximately 4.5 times greater chance of suffering a lower extremity injury during a regular competivite season if they score less than 16.5 on the FMS™. One-way analysis of variance revealed no statistical difference between the ankle injury group, knee injury group, and non injury group (F2,54= 2.34; p=0.106). No statistical significance was found between the groups with a contact, non-contact injury, or non injury (F2, 54=1.48; p=0.237). Finally, when comparing the three sports with one-way ANOVAs, a statistical difference was found between them (F=5.83, df= 2, 54, p=0.005). Conclusion: This research study demonstrated that the FMS™ shows a true potential to work as an effective and efficient predictive tool for identifying lower extremity injury in division one collegiate female athletics. More research is still necessary before implementing the FMS™ into a PPE for athletics, but due to the low cost and its simplicity to implement, it should be considered by clinicians and researchers in the future.