title: Quantitative assessment of the serve speed in tennis.
abstract: A method is presented for assessing the serve speeds of tennis players based on their body height. The research involved a sample of top world players (221 males and 215 females) who participated in the Grand Slam tournaments in 2008 and 2012. The method is based on the linear regression analysis of the association between the player's body height and the serve speed (fastest serve, average first-serve, and second-serve speed). The coefficient of serve speed (CSS) was calculated as the quotient of the measured and the theoretical value of the serve speed on a regression line relative to the player's body height. The CSS of >1, 1 and <1 indicate above-average, average, and below-average serve speeds, respectively, relative to the top world tennis players with the same body height. The CSS adds a new element to the already existing statistics about a tennis match, and provides additional information about the performance of tennis players. The CSS can be utilised e.g. for setting the target serve speed of a given player to achieve based on his/her body height, choosing the most appropriate match strategy against a particular player, and a long-term monitoring of the effectiveness of training focused on the serve speed.
authors.affiliation: a Human Motion Diagnostic Center , University of Ostrava , Ostrava , Czech Republic.
authors.forename: Frantisek
authors.initials: F
authors.lastname: Vaverka
authors.affiliation: b TK Plus Prostějov , Prostějov , Czech Republic.
authors.forename: Miroslav
authors.initials: M
authors.lastname: Cernosek
mesh_terms: D054874:Athletic Performance / Q000502:physiology*; D001696:Biomechanical Phenomena; D001827:Body Height; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D013715:Tennis / Q000502:physiology*; D034941:Upper Extremity / Q000502:physiology
keywords: Coefficient of serve speed; Grand Slam tournaments; linear regression; top tennis players; utilisation in training