Survey on Football League Table and Player Performance Prediction Using Data Science

Authors

  • Swapneel Deshpande Department of Computer Engineering, NBN Sinhgad School of Engineering, Pune, India, Author
  • Varsha Rasal Department of Computer Engineering, NBN Sinhgad School of Engineering, Pune, India, Author

Keywords:

Sports analytics, Data mining, Web scrapping, Machine Learning

Abstract

This article focuses on team performance as well as player  performance prediction, with team performance being evaluated  using a variety of machine learning algorithms and web scraping  methodologies. Data is refined and modified efficiently to get the  desired accurate results. Advanced Statistics is used to get results.  The prediction includes final league table of teams, whether a  team is going to have a better season than the previous one.  Prediction is also done to evaluate the rating of a defender.  

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References

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Published

2021-11-30

Issue

Vol. 8 No. 6 (2021): International Journal of Innovative Research in Engineering & Management (Nov) 2021

Section

Articles

How to Cite

Survey on Football League Table and Player Performance Prediction Using Data Science . (2021). International Journal of Innovative Research in Engineering & Management, 8(6), 29–33. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11469