신경망분석을 이용한 축구경기 승패 예측모형 개발- 2006독일월드컵 대회를 중심으로 -

Abstract

This study was on purpose to investigate the various factors of soccer games into inner factors and classify performance factors objectively and scientifically using a soccer game analysis program and develop a model which can predict the result of the soccer games using the Neural NetWork Analysis that stands on the game graded record. The game recorded data was collected from the FIFA TSG official record and the data which was gained using a game analysis program. It has searched the factors related the game results which were focused on the game inner factors of the related factors in 2006 World cup games and recorded the whole games of 2006 World cup games, graded the recording factors related the win/lose using the video and the real time game analysis program with numbers. The graded recording factors with numbers were several; ball possession, completion, and so on. However, through the meeting with Neural NetWork Analysis, professionals prediction related factors which can predict in the real games were selected. And a soccer game win/lose prediction model was developed using the selected factors and Neural NetWork Analysis. It also was compared with the preceding researches in documents record studies. Followings are main results of this study; First, It was confirmed that it is available to grade the real factors in the games which include various factors through the professionals' meetings which implemented the analysis the 2006 Worldcup games and it was focused on the recording factors. Second, the graded recording inner-factors make it possible to predict the soccer game results using the Neural NetWork Analysis method. It was verified that it can be effective in other sports also. Third, the rate of predicting the soccer games' results was 87.5%. It is possible to understand this study contributes on the basis of the importancy of soccer game factors.