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.

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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
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article

FIFA Dataset Analysis and Match Prediction

Aman Anand, S. S. Tamboli
Sports Analytics and Performance
article

FIFA Dataset Analysis and Match Prediction

Aman Anand, S. S. Tamboli
article en

Abstract

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.

Vol. 12
Galgotias University (IN)
Openalex Percentile: Top 80%
Sports Analytics and Performance
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