Yıl:2021   Cilt: 7   Sayı: 2   Alan: Mühendislik Temel Alanı

  1. Anasayfa
  2. Makale Listesi
  3. ID: 95

Mustafa SEYREK ,Enes KİRİKTİR,Yunus DOĞAN,Bülent YAPICIOĞLU

Football Match Result Prediction Decision Support System

Today, predicting the results of football matches is as important as the results. Before the match, people try to predict the outcome of the next match by considering the performances of the teams in the previous matches on various social media platforms. Along with the results of the matches, the outcome of the second half has become a subject that football fans and technical teams meticulously think about. There are many statistical metrics for making score predictions of matches. It is a very laborious task to analyze all these metrics one by one and to come up with a result. In this study, score estimation of the matches was made by considering the statistical metrics. Here, based on the previously played match data, it is determined what kind of result the team can get in the second half, what they need to do to win the match and what the match result will be. The estimation process takes place in the light of data collected from a particular website. Machine learning algorithms were used while performing these operations. In addition, this study has been made useful with the user interface.

Anahtar Kelimeler: Data Mining, Decision Support Systems, Sport Science


Football Match Result Prediction Decision Support System

Today, predicting the results of football matches is as important as the results. Before the match, people try to predict the outcome of the next match by considering the performances of the teams in the previous matches on various social media platforms. Along with the results of the matches, the outcome of the second half has become a subject that football fans and technical teams meticulously think about. There are many statistical metrics for making score predictions of matches. It is a very laborious task to analyze all these metrics one by one and to come up with a result. In this study, score estimation of the matches was made by considering the statistical metrics. Here, based on the previously played match data, it is determined what kind of result the team can get in the second half, what they need to do to win the match and what the match result will be. The estimation process takes place in the light of data collected from a particular website. Machine learning algorithms were used while performing these operations. In addition, this study has been made useful with the user interface.

Keywords: Data Mining, Decision Support Systems, Sport Science


Atıf İçin

Seyrek, M., Kiriktir, E., Doğan, Y. & Yapıcıoğlu, B. (2021). Football Match Result Prediction Decision Support System. Journal of Current Research on Engineering, Science and Technology, 7 (2), 173-202.


550