A Study On The Participation Characteristics And Performance Prediction Methods Of Outstanding Female Throwing Athletes

In the world of track and field development is increasingly stable today,women’s throwing project performance is still uneven,but as China’s sports career to win gold and silver,to show the strength of the advantage of the project,since the1980 s,in all the world competitions have achieved remarkable results.In the construction of a strong sports country today,it is still of contemporary significance to fully maintain the advantages of the project group and strive for greater breakthroughs in performance.Through the search,it is easy to find that in recent years,most of the relevant academic research is focused on training strategies,movement skills,integration cycle and other hot issues,but relatively simple and intuitive body shape characteristics,competitive performance patterns,performance trends and other objects of research is slightly lacking.In addition,the study of body shape characteristics is mostly seen in sports selection,but there are few studies that correlate them with the athletic life and performance of active athletes to predict the peak and trough stages of their athletic careers and to assist in the revision of training plans.In this paper,we focus on the top eight athletes in each sub-event of women’s throwing events in the last five World Championships,and use literature,mathematical statistics,comparative analysis and quantitative analysis to analyze the age,physical form,competitive performance and other participation characteristics,and find out the causal links between them and the variables of competitive life span and development trend of competitive level.By comparing the advantages and disadvantages of several prediction methods,more reliable prediction results can be obtained,which can be used as a reference for the current athletes to make training plans and prepare for the next competition.The results show that:(1)the age fluctuation of women’s throwing athletes in the last five World Championships is influenced by the epidemic,the age band is gradually widening,more and more veterans are involved in the competition for gold and silver,their competitive life span is gradually extended,26-30 years old is the prime age group of the group,but there is some individual variability in each event.(2)Excellent female throwing athletes are taller in stature,and there are certain differences among the events,as follows: discus > shot put > javelin > chain ball;their weight and Ketorai index are relatively large,but there is diversity in different events,specifically: shot put > chain ball > discus > javelin.(3)Through the analysis of the coefficient of variation of women throwers’ performance in the last five World Championships,it is found that the stability of the effective performance of the whole women’s throwing group is high,but the javelin event needs further improvement compared with the other three events;the overall performance level of women throwers is high and most of them are over-performance,among which the discus and javelin events still need to be improved;the second,third,fifth and sixth rounds of the whole game have a higher percentage of deciding The athletes’ performance is random.(4)The theory of data prediction has always maintained a high level of research in the past decade.As a linear model,gray system theory is good at dealing with small sample short-term prediction with exponential growth of sample values,and is not well suited for such non-linear dynamic changing data as sports performance.Increasing the dimensionality of sample-related data,such as age,height and weight,can also effectively improve the modeling accuracy and thus better prepare the athletes for the competition.