Abstract Purpose: The objectives of this study were to identify if preseason assessment variables predict lower limb musculoskeletal injuries in female soccer players and to compare characteristics between injured and non-injured athletes. Design: 4-month retrospective cohort study. Setting: An elite women's soccer team from Brazil. Participants: Twenty-seven female soccer players. Main outcomes measures: Lower limb length and asymmetry, hamstring flexibility, isokinetic strength of the hamstrings and quadriceps, single hop, lunge test, mSEBT, Thomas, trunk mobility, hip adductor strength, Bent-knee fall-out for testing hip range of motion, lateral trunk flexor endurance, Hip Sit, and single-leg and countermovement jump were recorded at baseline. Logistic regression analyses were performed to identify predictors for the occurrence of lower limb musculoskeletal injuries. Results: The logistic regression showed a significant model for lower limb musculoskeletal injuries. Trunk mobility, Hip Sit test, and were associated with injury (p = 0.016; R2 = 0,589). The model correctly classified 84.8% of cases (84.6% sensitivity and 85% specificity). The area under the receiver operating characteristic curve was 0.68 (95% CI: 0.53, 0.83; P < 0.024) demonstrating acceptable discriminative ability. Conclusion: The model showed that trunk mobility, Hip Sit, and Bent-knee fall-out were predictors of lower limb musculoskeletal injuries in female soccer players. Highlights Trunk mobility, Hip Sit test, and Bent-knee fall-out test were identified as predictors of lower limb musculoskeletal injuries in women's soccer. The logistic regression model showed good classification ability, with an accuracy of 84.8%. Area under the receiver operating characteristic curve (AUC-ROC) was 0.68, indicating an acceptable discriminative capacity of the model. Implementing integrated approaches that include physical, psychological, nutritional, and training load management factors is crucial for more effective risk control in women's soccer.
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