Sports data analysis and visualization are useful for gaining insights into the games. In this paper, we present a new visual analytics technique called Tennis Fingerprinting to analyze tennis players’ tactical patterns and styles of play. Tennis is a complicated game, with a variety of styles, tactics, and strategies. Tennis experts and fans are often interested in discussing and analyzing tennis players’ different styles. In tennis, style is a complicated and often abstract concept that cannot be easily described or analyzed. The proposed visualization method is an attempt to provide a concrete and visual representation of a tennis player’s style. We demonstrate the usefulness of our method by analyzing matches played by Roger Federer and Rafael Nadal at Wimbledon, Roland Garros, and Australian Open. Although we focus on tennis data analysis and visualization in this paper, this idea can be extended to the analysis of other competitive sports, including E-sports.