Analysis Of Tennis Skills And Tactics From The Perspective Of Statistics

At present,the sports industry is booming.Tennis is one of the most popular sports.The level of tennis in China has been greatly different from that of world-renowned players.The proportion of high-ranking athletes in the world is extremely low.The history has also been refreshed,but there is still no major breakthrough yet.The level of Chinese women’s tennis is better than that of men’s tennis,but both have great room for improvement.The reason why people can describe a certain activity scientifically and quantitatively is inseparable from the great role brought by information technology.Only information technology description can provide the direction for the next decision.However,the difficulty of decision-making increases with the amount of information.Increasingly,in order to make scientific decisions,it is necessary to use a variety of statistical methods to find the rules and features hidden in huge data.Therefore,an issue that needs to be solved urgently in scientific decision-making is how to discover the laws behind large amounts of data.One of the most important factors affecting the performance of competitive tennis is sports skills and tactics.The victory of the game is closely related to the successful use of skills and tactics during the game of the athlete.There are many ways to improve the level of tennis in China.It is the most important one.Because a single traditional statistical method is prone to the problem of incomplete information,so exploring the technical and tactical characteristics of tennis players during competitions can be combined with data mining methods to obtain more useful information and rules.This method is very effective for improving the technical and tactical decision-making level of tennis in China,and can make the technical and tactical decision-making of tennis more scientific and reasonable.Based on the collected technical and tactical index data of the world ’s top 100 men and women tennis players,this paper builds a model by statistical methods,and studies the following four aspects: First,the serve factor and return ball are determined through principal component analysis.Five common factors: factor,error pressure factor,winning pressure factor,and draw pressure factor.Then,the decision tree method is used to predict and classify the player’s ranking according to the scores of each factor.The dependent variable of ability was analyzed by using logistic regression to analyze the athlete’s ability to resist stress.The prediction result of the game was analyzed using BP neural network method.Finally,the average of serve factors,return factors and serve scores,and average return scores were analyzed.The values determine the technical types of male and female tennis players respectively,and use K nearest neighbor estimation to classify and predict the technical types of male and female tennis players.In short,this article studies the game data of the top 100 men and women tennis players in the world by establishing statistical models and using data mining methods.The aim is to discover the underlying laws behind these technical and tactical indicators,to provide some practical and feasible information for the development of Chinese tennis.It is suggested to provide corresponding technical support for the technical and tactical decision of tennis.