The shoulder joint has been particularly interesting because the joint bones do not directly contact each other; they are connected through ligaments and muscles. It is also the joint with the greatest range of motion in the human body. The ligaments, considered as statics stabilizers, are crucial in guiding joint movement while restricting excessive movement between the bones. Computational models, also known as biomodels, are designed to replicate biological tissue based on medical images virtually, utilizing various modeling techniques for their development. By applying biomodels in numerical simulations that use finite element method tools, researchers can study and analyze various biological tissues without compromising the physical integrity of the individual. This study aims to analyze the behavior of the shoulder ligaments during the flexion movement of the joint, utilizing a biomodel. A detailed computational biomodel of the shoulder joint has been developed using medical imaging techniques, such as tomography, which provide critical insights into the internal structures of an individual. This biomodel accurately replicates the morphology of the upper extremity, incorporating features that closely resemble the biological tissues of the joint. Key components included in the model are cancellous and cortical bones, ligaments, the articular capsule, and articular cartilage. Numerical simulations have analyzed the flexion shoulder joint movement, providing valuable knowledge about biomechanics. The results of the flexion simulation movement undergo an evaluation to determine the function of each ligament involved in this movement. The findings align clinical reports, enhancing our understanding of shoulder biomechanics and informing medical practices.