Abstract: Softball is often perceived as less injurious than overhand throwing, but evolving epidemiological and biomechanical data show that softball pitchers sustain a substantial proportion of upper-extremity injuries, many related to repetitive loading and mechanical factors. This narrative literature review synthesizes biomechanical principles of the windmill pitch, identifies kinematic and kinetic variables associated with shoulder and elbow tissue stress, and examines how mechanical faults, workload, and fatigue interact to produce injury. Major mechanical contributors include poor kinetic-chain sequencing (lower-extremity/trunk deficits), excessive shoulder distraction and rotational torques, increased elbow valgus moments, altered timing of trunk rotation and arm acceleration, and suboptimal landing/stride mechanics. Overuse (pitch count, insufficient rest) compounds these mechanical stresses and is strongly associated with pain and pathology. Laboratory and field studies demonstrate associations between specific kinematic patterns (e.g., late trunk rotation, early arm abduction, decreased hip-trunk separation) and elevated peak shoulder distraction forces and elbow torques—mechanical mediators for tendinopathy, labral injury, biceps pathology, and medial elbow stress. Evidence supports targeted interventions: kinetic-chain strengthening, pitching mechanics retraining, structured workload limits, neuromuscular control programs, and fatigue-monitoring. However, disparities remain in quantity and quality of softball-specific research compared to baseball, limiting definitive causal attribution. Future studies should standardize biomechanical protocols, include prospective designs with workload monitoring, and evaluate injury-prevention programs specific to windmill mechanics. This review provides practitioners and researchers a mechanical framework to reduce injury risk in softball pitchers.

Keywords: windmill pitch, biomechanics, softball pitching, shoulder distraction, elbow valgus, kinetic chain, injury prevention, workload

Downloads: | DOI: 10.17148/IJIREEICE.2025.13109