Background: The knee is a major weight-bearing joint that provides mobility and stability during physical activity as well as balance while standing. The present study was conducted to assess pattern recognition of soft tissue injury in knee trauma using MRI. Materials & Methods: 90 patients of both genders presented with painful or unstable knee joints after knee trauma at the outpatient department (OPD) of the department of Radiology at Hind Institute of Medical Sciences, during the study period of 18 months was selected. MRI was performed in all patients. Results: The ACL tear detection has a high sensitivity of 93.75% and a specificity of 73.08%. The negative predictive value (NPV) and positive predictive value (PPV) are 82.61% and 89.55%, respectively. The overall accuracy for ACL tear detection stands at 87.78%. Similarly, Meniscus tear detection has a comparable sensitivity of 93.85%, slightly lower specificity of 68.00%, NPV of 80.95%, PPV of 88.41%, and an accuracy of 86.67%. Conclusion: MRI is a reliable method for identifying, localizing, and characterizing different types of ligament rips in the knee joint by thoroughly comparing MRI knee results with clinical evaluation. As a result, it non-invasively directs the patient's further care for their knee ailment. To avoid unnecessary arthroscopies, every patient with a suspected ligamentous injury should have an MRI before being scheduled for one.