Performance Attributes and Risk Taking of Players-Evidence from Lawn Tennis

Lawn tennis is one of the most viewed sports around the world. Different tennis tournaments and grand slams are played round the year. Top tennis players earn huge cash prizes from different tournaments. To achieve a high tennis ranking, specific skills are required. We examined the performance attributes of top 100 single male players of tennis and did a cluster analysis on these performance attributes of the players. One cluster of players is Risk Taker Players and the second cluster is Risk Averter Players.K-Mean clustering technique is utilized to understand the physical attributes of the players in game. Looking into the clusters, it is likely that most of the players are risk averse while playing the game. We found that Double Faults and Aces are important input variables in predicting the risk nature of the Tennis Lawn sports  players.  

Keywords: Lawn Tennis, Ranking, specific skills, K means Cluster.