Research On Tennis Skill And Tactics Index Based On Grey Theory

In the new era,cumbersome data can quickly get accurate results through the analysis of big data.Big data analysis has already entered our daily lives.Different data analysis models and methods have different effects.In the tennis match,we can get some intuitive results by sorting out some of the players' game data and analyzing the big data.The big data analysis method can find out the number of key technical indicators of each athlete,which has scientific and practical significance for each athlete and coach.In the early stage of writing,after reading a large amount of literature,the author found that some researchers combined part of grey correlation analysis,gray clustering and gray prediction with sports,but no one conducted a comprehensive study of the three parts.Therefore,we take the data of 20 games played on the hard court site Federer and Nadal played since they have entered the professional tennis tournament as the research objects.The data comes from ATP official website,Sina Sports,Tencent and other network video,so it has high credibility and authenticity.The study believes that the combination of gray theory and tactical tactics,coupled with more detailed live video,has the advantage of being able to understand or be close to the data of tennis players,real-time and rapid analysis of video and mining effective data indicators.The tactical analysis of tennis players before,during and after the game no longer relies on past empiricism,not only can enhance their technical ability,but also promote the development of tennis tactics.Grey correlation analysis can find changes of different technical indicators in the same tennis competition.Combined with video and literature analysis,it can be seen that the two represent different technical methods in the tennis game technology,so that the degree of correlation between different technical indicators and total score can be obtained.Among them,the receiving and scoring rate are the highest and the same technical indicators.The gray cluster analysis clusters 14 technical indicators in each of the 20 games,and obtains the comprehensive index value of each game's technical indicators.After conducting a comprehensive analysis of the comprehensive index values,it was found that the comprehensive index value of each game is changing.Federer's comprehensive index is more stable than Nadal.In this paper,the athletes' technical indicators are used as the basic research indicators through grey prediction,and then the technical indicators of the next field are predicted by using the values of each technical indicator at different periods.Therefore,it is possible to predict the changes in the technical indicators of the athletes in the next game as a whole,thereby providing guidance for the athletes to play technical skills before the game.Big data is combined with gray theory for analysis and research.The technical index value conforms to the grey theory and model and satisfies the test conditions,providing objective data reference for excellent tennis players in China.