A Study On The Characteristics Of Techniques And Tactics Of Women’s Singles Four In The 2013 China Tennis Open

This article selects the China open women’s singles semi-finals players as the research object of this paper, the China open tennis tournament held in Beijing, the capital, after the 2008 Olympic Games, Beijing’s international status gradually increase, held since the beginning of the 2004 China open has attracted many heavyweight players, added greatly to the game’s view, is the most complete set in the Asian region, the highest level, the international tennis tournament players the most. China open as the fifth largest high-level after the four grand slam events, has an irreplaceable role to today’s tennis match. Through game analysis of the 2013 China open, grasp the trend of the development of women’s tennis today and the game winner, grasp of the rules for the Chinese women’s tennis future development put forward reasonable advice. From the game to win the game, the most real reflect the key what technology should be improved.Literature data method, mathematical statistics method and image analysis method for the analysis of the tactics for the 2013 China open women’s singles, from serving, receiving and several aspects, such as the net data for research.The results showed that:1. Serve skill tactics statistical analysis showed that:The fastest speed of the average of the last four players arise for 172, an average speed of the average of 153, two hair an average speed of the average was 129, and in the entire game, Serena Williams serving speed is dominant; First is significantly higher than the average of the average of the second serves, Serena Williams and Radwanska round the success rate of 70% and 65%, and the sniper’s win rate reached 78% and 68%; ACE ball and double fault, the last four players in comparison, Serena Williams on the premise of guarantee directly gets the have can guarantee the stability of the serve, the other three players in this area is a bit lacking, so tennis player on the serve, both to ensure the stability of the power and to guarantee good service, to serve on the combination of both more above rivals.The last four players unforced errors significantly higher than the active scoring. So, in the tennis match, almost all of the players in their own can control the pace, on the premise of efforts to improve the active attack, is around how to reduce the unforced errors to play. Technology and tactics level, the higher the player, take the initiative to attack to take the number of differ with the number of unforced errors.Serving placement of data analysis:the last four players when the sniper in the area and the area are respectively is large Angle outside, cut the ball and hair sidespin hair from inside enemy sniper in the area and area of also cooperate with outside, and after the body. For the last four players in the area and area of second serve, are sent to the opponent’s backhand, so the last four players in serve placement on the choice of the same, there is no obvious difference.2. Serve receives skill tactics statistical analysis showed that:Four players accept first is generally lower than the second serves, Serena Williams after the first is higher than the other three players, pick up on the second Serves Serena Williams and Radwanska is higher.On receiving the ball line data statistics, the last four players generally follow the idea of receiving line to return the ball from what direction as far as possible to the original route to the ball back to the past, try to avoid not to take the initiative to transform route, can increase the risk.Pick one:backhand position to block the ball is given priority to, forehand position:is the combination of smoke ball and manner; Answer the second serve, the backhand and forehand position are most used to drive the ball.3. Net statistical analysis of the technical and tactical analysis showed:Among the players there is a gap on the net score data, Serena Williams ’s score data is significantly higher than the other three players score data, it has to do with Serena Williams on the serve link into direct proportion, high quality service to bring more net scoring opportunities, so the net score of high and low for itself in the field with the serving quality initiative has certain relations.