Examination of variables affecting TEAM success in the special athletes Football League With the competition analysis program
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Abstract (EN)
In football, it is of great importance to observe the performance of the athlete in the match and to follow their development. For this reason, match analyzes are made all over the world without interruption. However, comprehensive studies on the match performance monitoring of private athletes were not found in the literature. The aim of the study is to emphasize the importance of the pass network analysis and network map obtained with the E-analysis and Gephi program for the National Team players to be selected from the Special Athletes Football League teams to show high performance. In the study, video recordings of all matches were taken, analyzed by two experts and transferred to the EAnalyze program. The findings were processed into the Gephi program, and a team pass net map of each match was created. It was determined that 47 had light intellectual disability(LID), 5 had moderate intellectual disability(MID) and 7 had restricted intellectual disability(RID) of the 59 special athletes were mild, with a mean age of 23.56±4.93(15-38). According to the results of the EAnalyze program, it was observed that the matches were generally between LID players, and in-game variables were observed to occur between special athletes of the same disability group. In successful teams, players in the same obstacle group have wide passing net and frequency, accurate passing and offensive attacks. Wherever LID players were positioned, the match continued in that direction. MID and SID players did not play according to their positions. In order for special athletes to be successful, it is foreseen that in addition to physical performance, inclusion training should be added to training programs in order to strengthen the pass network and maintain their development, and to strengthen communication, and moving drills to pass training. When the pass net frequency and direct pass map among special athletes of the same disability group are examined, more homogeneous teams can be established in the lower leagues. When choosing high-performance players from these teams to the National Team, we recommend choosing the teams according to the pass network analysis and network map obtained with the E-analysis and Gephi program.
Author
Fatih Atlı
How to Cite
Fatih Atlı (Master Thesis). Examination of variables affecting TEAM success in the special athletes Football League With the competition analysis program, 2021, Hitit University.
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