This study explores how key physical attributes, including height, weight, arm length, and leg length, impact on athlete squat ability and ultimately, their long jump performance. This study was utilized a mixed method approach, combining a survey questionnaire to gather quantitative data on physical attributes, squat ability, and long jump performance. It was followed by semi-structured interviews to delve deeper into athletes' qualitative experiences and perceptions regarding their training and performance. The data was gathered using a validated research-made questionnaire. Mean, standard deviation (sd), correlation coefficient (r), and p-value were the statistical tools used to determine the relationship between physical attributes, squat ability, and long jump performance and thematic analysis, frequency count, and qualitative analysis to identify common patterns and insights regarding athletes’ backgrounds. The analyzed and interpreted data revealed that participants' height, weight, and arm length show a significant moderate association. Hence, multiple regressions show that weight best predicts long jump performance. Participants’ level of squat ability showed a significant and very strong association with long jump performance. Most participants had experience in training, competition, technical skills support, and the environment. Thus, it resulted in a moderate level of long jump performance. It is concluded that among the physical attributes, weight is the best predictor of long jump performance; squat ability had a significant and very strong association with long jump performance, and athletes with training and competition experience, good athletics skills, and strong support have a strong significant effect on long jump performance.