Objective: The purpose of this study was to objectively identify common landing errors in female basketball players by integrating the Landing Error Scoring System (LESS) with OpenCap. Method: Eleven collegiate female basketball players were recruited to perform a LESS jump landing task from a 30 cm high box. Landing mechanics were recorded using two iOS devices via OpenCap. A modified full-body musculoskeletal model was used in conjunction with OpenSim's inverse kinematics to objectively quantify landing mechanics, including multi-planar knee joint motion. Results: The mean LESS was 5.64 ± 0.77, placing the participants in the moderate category of landing mechanics. The most frequently observed error was knee valgus displacement (LESS item 15), present in all participants. Joint displacement (LESS item 16) and knee valgus angle at initial contact (LESS item 5) were also prevalent, observed in 90.91% and 81.82% of participants, respectively. Based on LESS score distributions, 55% of participants categorized as having moderate landing mechanics, 27% as good, 9% as poor, and 9% as excellent. Conclusion: The results of our study indicate that targeted interventions may be necessary to reduce Anterior Cruciate Ligament (ACL) injury risk among female basketball players. Integrating LESS scores with OpenCap provides a practical and accessible approach to identifying key biomechanical risk factors associated with ACL injury.