Purpose: The aim of this study was to provide a new model for a new model for predicting 200, 400, 800, 1500, and 5000 m running records on the Fox & Matthews energy systems in young men. Methods: Fifty active young men (mean ± SD age of 18. 11 ± 1. 98 years, Height: 171. 89 ± 3. 27 cm, BMI: 21. 11 ± 1. 76 kg/m2, VO2max: 51. 08 ± 3. 67 ml/kg/min) are purposefully selected and were randomly divided into 5 groups. 100 and 10, 000 meters records of all subjects were measured in two separate sessions at least with an interval of 72 hours. Then the subject’ s 200, 400, 800, 1500, 5000 m running times in each group were recorded with an interval of 72 hours. Finally, the records were calculated using the equations based on Fox & Matthews energy systems. Bland-Altman graphical plots as well as the intraclass correlation coefficient (ICC) statistical tests were used to evaluate the absolute agreement of the methods. Results: The results showed predictive equations have high agreement with the criterion model (200 m ICC= 0. 85, 400 m ICC= 0. 83, 800 m ICC= 0. 86, 1500 m ICC=0. 89 and 500 m ICC=0. 81). Conclusion: According to the results of this study it can be concluded that the new model for predicting 200, 400, 800, 1500, and 5000 m running records can be used as a practical tool for predicting of distance running records among track and field athletes.