Exploratory Analysis of the Top-Ranked Athletes’ Performances in ATP Tour

Austin Manning Hitt

Faculty Advisors:

Dr. Bo Li and Dr. Chao Gu

In this talk, we investigate the relationship between the overall scores of the top-ranked tennis players and the metrics provided in the database “Official Site of Men’s Professional Tennis/ATP Tour” through an exploratory statistical analysis. To improve the overall scores, it is the aim to identify the underlying predictor variables for the statistical model, since not all the metrics play a role in explaining the overall scores. We perform the step-down model selection algorithm to identify the underlying predictor variables. The statistical exploratory analysis result shows that the best evaluation of the overall performances are the adjusted values of the return points won, 2nd serve points won, and the total number of Aces.