Purpose of the study: purpose of the study was to predict a model of 100m sprint performance with the help of selected physical and anthropometric variable. Running is one of the important part of all the sports and 100m sprint is one of the shortest and fastest event of trach and field. Materials and methods: Subjects were selected from the different places according to the availability of male sprinters with age ranges between 18-25 years. 33 male sprinters were selected for the study. Selected physical variables were body weight, reaction time, explosive power of legs and speed and anthropometric variables were lean body mass and fat % for the study. Body weight was measured with the help of weighing machine, reaction time was measured through ruler drop test, explosive power of legs was measured with the help of standing broad jump, speed was measured with 50m dash and both the anthropometric variable were measured through the bio-electrical impedance. Results: All the selected variables were significantly correlated with the 100m performance but body weight and explosive power of legs shows the highest correlation (r= -.868, r= -.836) respectively and fat percentage had the lowest correlation (r= .436). Two models were developed by the SPSS, in first model it included body weight only which explained 75.3% of total variation and second model along with body weight and explosive power of legs explained 87.7% of variation which was highest. So, second model was used to make regression equation of the study. Conclusion: It was concluded that body weight and explosive power of legs of male sprinters were maximum affect 100m performance.