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Analytics in the ATP

This paper applies data analysis used in the major team sports to the Association of Tennis Professional (ATP). A linear regression model is used to determine the aspects of the professional tennis most relevant to player success. Special focus is given to the effect of a player's overreliance on his serving performance. The available data (1991-2014) is divided into two periods in an effort to observe any differences between the era dominated by Pete Sampras and the era dominated by Roger Federer. The results from the former period indicate the same effect on player success of first and second serving and returning and an insignificant effect of reliance on success. Results from the latter period appear to show a greater importance for first serves and returns and a significant negative effect for reliance on performance.