The research aims to determine genetic markers related to endurance and strength. By better and early recognition of these gene markers, such training will be provided to these persons, which will help them become true athletes. But if these gene markers are identified at a better time, that person's talent will be wasted. The research is based on primary data analysis to determine the data used smart PLS software and generate results, including descriptive statistical analysis and the correlation coefficient, which also explains the smart PLS Algorithm model between them. The research study also determines the implications of talent identification in the sport. The critical implication of identifying gene markers is that it can help the personalized training of athletes.  There are some sorts of training that coaches provide, but there are also some sorts of self-training that can be provided to oneself without the assistance of others. If there is timely identification of these genes, it will help athletes with personalized training programs. Overall, research found that there is a significant links between genetic markers of endurance and strength.