CHARACTERISTICS OF BODY LOAD IN PHYSICAL TRAINING FOR FOOTBALL PLAYERS

ABSTRACT Introduction: Overtraining in football is caused by an imbalance between body load, stress, and recovery. High-volume non-scientific physical training and continuous high-intensity football matches are often the main reasons for the overtraining of athletes. Objective: This article explores the characteristics of the changes in physical function of football players during a complete training cycle. Methods: We use experimental methods to analyze the changes in the physical load characteristics of football players during high-intensity training. Results: Creatine kinase, urea nitrogen, and oxygen transport indicators did not change significantly during football training. Testosterone and cortisol will gradually increase with an increase of exercise load. Conclusion: In football training, we need to reasonably arrange the total exercise volume, exercise intensity, and exercise interval time of the athletes according to the trainer’s physical adaptability and athletic ability, supplemented with nutrition and enthusiasm recovery measures. These methods can improve or enhance the physical function of football players. Level of evidence II; Therapeutic studies - investigation of treatment results.

The Influence of Football Training Based on Big Data on Physical Function and Football Skills

In order to actively respond to the government’s call to scientifically create campus football culture, combine the characteristics of football sports, and improve people’s understanding of the mental and intellectual functions of football, this article focuses on the impact of football training on physical function and football technology. Based on the understanding of related theories, the experiment on the impact of football training on physical function and football technology was carried out. The experimental results showed that the weight, height, and BMI increased significantly during the period of football training ( P < 0.05 ). The independent sample T test showed that there were no significant differences in height, weight, and BMI between the two groups before and after training; the standing long jump performance of the control group after training showed an upward trend, but the significance level was not statistically significant. Three months later, the time for the experimental team to complete the eight-character dribble test in football training was reduced from 20.51 seconds to 15.57 seconds. The independent sample T test found that there was no significant difference in the physical fitness of the two groups before training and the changes in football skills of the subjects before and after training. Then, the clustering algorithm in the big data was used to analyze the data of the experimental group. The standing long jump has the highest performance; the second category belongs to the third level, and the third category belongs to the second level.

Research and application of constructing football training linear programming based on multiple linear regression equation

Based on the factors affecting sports performance, from a more comprehensive and broad perspective, after consulting the literature, 52 factors that affect the outcome of football matches are selected, including technology, tactics, physical fitness and referees’ penalties. By watching the video of the game, 52 influencing factors of 200 games and 400 teams were counted. The original data was statistically processed with correlation analysis and multiple linear regression analysis, and the statistics of the 26 European Cup games were substituted into the winning formula. To verify the scientific nature and objectivity of the formula, we aim to ascertain the core factors in the winning factors of a football game and the quantitative relationship between these factors and the result of the game, so as to provide a certain reference for football training, game analysis and scientific research. The technical and tactical ability of individuals and teams is the core competitive ability factor that affects the result of the game; from a single factor, 15 factor indicators have a significant impact on the result of a football match; on the whole, 10 factor indicators have a significant effect on the result of a football match. In addition, there is a certain quantitative relationship between these influencing factors and the results of the game; empirical evidence shows that the football game winning formula has a certain degree of science and objectivity.

Football as an Alternative to Work on the Development of Social Skills in Children with Autism Spectrum Disorder with Level 1

Given the characteristics of people with Autism Spectrum Disorder, it is evident the difficulties they show in the development of social skills. The scarce participation of people with Autism Spectrum Disorder in group sports can be taken as a reference. The aim of this study was to analyse the impact of football on the development of social skills in children with Autism Spectrum Disorder. In order to measure the sporting impact, it was necessary to implement a football training programme with the intention of evaluating different social skills. Thirteen children participated in the programme, all of them with a diagnosis of Autism Spectrum Disorder and with a severity level of 1. The study was based on a pre-experimental, pre-test/post-test design. Non-parametric tests were used for the statistical analysis, applying the Wilcoxon test. Two specific tools on social skills were used for data collection. The results showed a generalised improvement in the dimensions linked to the social skills assessed. This highlights the possibility of considering group sport as an alternative to be taken into account to work on and enhance social skills in children with Autism Spectrum Disorder.

3D Kinematic Analysis of Intelligent Vision Sensor Image in Football Training

With its advantages of high precision, noncontact, and high intelligence, intelligent visual sensor detection technology meets the requirements for online detection of motion status and intelligent recognition of motion images during sports activities, and its applications are becoming more and more extensive. In order to deeply explore the feasibility of using intelligent vision sensor technology to analyze the three-dimensional action of football, this article uses algorithm analysis method, technology summary method, and physical assembly method, collects samples, analyzes the motion model, streamlines the algorithm, and then creates a model based on intelligent visual sensor technology that can analyze the three-dimensional movement in football training. After the experimental objects are selected, the model is established in the ADM environment. All athletes do a uniform motion, the standard input motion speed is 5 m/s, they all move in the opposite direction relative to their respective coordinate axes, and the motion time is 6 seconds. The results show that the movement curves of the athletes in the three coordinate axis directions are basically the same. When the exercise time is 6 seconds, the coordinate values of the athletes on the three coordinate axes are all 0.992 m. We set six intensities in the experiment: 5%, 15%, 25%, 35%, 45%, and 55%. It can be found that as the noise intensity increases from 5% to 45%, the estimation error gradually increases, but as a whole, it is still at a relatively small level. It shows that the algorithm in this paper still has practical significance. It is basically realized that under the guidance of intelligent vision sensor technology, a model can be designed to successfully and efficiently analyze the three-dimensional movement pattern in training.

GAME-BASED SOCCER TRAINING MODELS FOR CHILDREN AGED 6-8 YEARS

The purpose of this study was to produce and develop a game-based soccer training model for children aged 6 - 8 years and to test its effect on improving children's basic abilities. This study uses the Research and Development (R&D) method from Borg and Gall with 10 stages; 1) research and information; 2) planning; 3) developing superior product forms; 4) preliminary field testing; 5) major product revisions; 6) main field testing; 7) operational product revisions; 8) operational field testing; 9) final product revision, and 10) dissemination and implementation. The subjects in the small group trial were 12 students of SSB Ina Football Soccer School Ciganjur, South Jakarta, and the subjects in the large group trial were 30 students, each consisting of 15 students of SSB Garuda Muda Batipuah, Tanah Datar, and 15 students of SSB Padang Laweh, Agam. . Whereas in the effective test using the subject as many as 30 students of SSB PS Marapi Batu Palano. The strength test of the game-based football training model for children aged 6 - 8 years using a basic motion test instrument, namely TGMD-2, consists of locomotor and manipulative basic motion tests. Data analysis obtained the mean value of the initial test 19.8 for basic locomotor motion and 7.4 for manipulative, and the final test mean value 34.9 for locomotor basic motion and 10.93 for manipulative. The significance test gets a t-count value of 26.87 for locomotor and 12.89 for manipulative, where each is greater than the t-table value of 1.699 at the 0.05 level so it can be denied that the game-based soccer training model has a positive impact and significant to the improvement of the locomotor and manipulative basic development of children aged 6 - 8 years. So that the conclusion that there are 33 game-based football training models is effective and significant for improving the basic motion of children aged 6 - 8 years and the training model is feasible to use and disseminate.

Establishing Football Vocational Schools: Perspective from Turkey

The aim of this study was to understand what principles should be used in the future when establishing Football Vocational Schools in Turkey in order to ensure that future Turkish football players are better trained, and that this occurs in economically viable ways. The study was conducted as a case study. The data were collected using the interview technique and then subject to content analysis. Converting the football academy units currently found in Turkish sports clubs into Football Vocational Schools will fill the current deficiencies in the Turkish education system and will provide the well-trained and elite football players increasingly required by professional clubs. These schools should focus on providing education and training in football, which should be complemented by the subjects in the national education curriculum. This will make it easier for talented young footballers to choose football as a profession from an early age. Such a training model will help create a new service area with high added value in a market in which there is strong international competition. Keywords: Vocational School, Syllabus, Football Training, Turkish Education, Football Economy