Abstarct: Swimming, as a low-impact and popular sport, with repetitive movements in an aquatic environment, leads to improvement in cardiovascular health, endurance, strength, and flexibility, but at the same time exposes swimmers to musculoskeletal injuries caused by overuse. Despite the importance of preventing these injuries, the existing evidence regarding the predictive ability of functional tests as screening tools in swimmers is limited; especially in the context of the interaction of modifiable factors such as stability and motor control with non-modifiable characteristics like age and gender. This research gap emphasizes the need for a more precise evaluation of functional tests to develop effective preventive strategies. The purpose of this research was to evaluate the predictive ability of individual characteristics, training patterns, injury history, and a set of functional tests including upper extremity stability in closed kinetic chain (CKCUEST), single-hand seated medicine ball throw (SMBT), McGill core endurance, overhead squat, and upper extremity Y balance tests (YBT-UQ) and lower extremity (YBT-LQ) as screening tools for sports injuries in swimmers. This study was baxsed on the assumption that the mentioned tests can play an effective role in identifying risk factors, reducing injuries, and improving athletic performance. This research was of an applied and descxriptive-analytical prospective type. The statistical population consisted of swimmers aged 18 to 60 years, from which 170 individuals (102 men and 68 women) were selected using convenience sampling. The research tools included researcher-made questionnaires to collect information related to individual characteristics, training patterns, and injury history, and a set of valid functional tests with high reliability. The data collection process was carried out over 9 months, and injury follow-ups were conducted every two weeks through an injury registration questionnaire. The data were analyzed using statistical tests and the generalized estimating equations model in SPSS software. The research results showed an injury incidence in 30.6% of swimmers with a rate of 2.29 injuries per 1000 hours of training. Multivariate regression analysis showed that variables such as higher weight, weekly training duration, previous injury history, and overhead squat score increase the risk of injury, while better performance in the medicine ball throw test was associated with a reduced likelihood of injury; findings that highlight the determining role of modifiable factors in preventing sports injuries. These patterns emphasize the determining role of modifiable factors in injury prevention. The findings suggest that coaches use pre-season screening baxsed on these variables, sports physicians develop targeted rehabilitation programs to improve core stability and posture, and swimmers also focus more on strength and balance exercises to minimize the risk of sports injuries.