Examination of Variables Affecting Team Success in The Special Athletes Football League with the Competition Analysis Program

Abstract

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 special athletes 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 (ID) (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). 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 order for special athletes to be successful, in addition to physical performance, target-oriented integration, passing and moving drills training should be carried out to strengthen the passing network and communication within the team and to continue the development. The suitability of the training should be monitored by performing rust network analysis at regular intervals and homogeneous teams should be established. While selecting players for the Special Athletes National Team, it is anticipated that the passing network analysis and network map obtained with e-Analyze Soccer and Gephi program will facilitate the selection of talented athletes.