FIFA Dataset Analysis and Match Prediction
The world of football, with its vast player database and intricate gameplay, has been a subject of fascination for enthusiasts and analysts alike. The FIFA video game series, developed by EA Sports, provides an opportunity to delve into this world from a data science perspective. In this research, we embark on a comprehensive analysis of FIFA player data using Python to uncover insights and patterns that can enhance our understanding of the virtual football world. Findings: Data visualization is the process of representing data using common graphics, like charts, plots, infographics, and even animations, prediction of overall rating of football players using Linear Regression and Win prediction of EPL teams using Random Forest classifier.
Authors
- Aman Anand (ORCID: https://orcid.org/0009-0000-0084-1190)
- S. S. Tamboli
Institutions
- Galgotias University (IN)
Publication Details
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1109/iccpct61902.2024.10672929
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00