Visual Analysis of FIFA World Cup Data

The FIFA World Cup has become an international event during the last thirty years, and the 2022 final in Qatar is expected to draw over three billion spectators. This study examines the variables affecting national football success by using data from 68 World Cup-playing nations between 1994 and 2022. The influence of national sports prowess, as seen by Olympic accomplishments, and football heritage, such as hosting history and World Cup victories, are among the important factors that determine success, according to a generalized linear mixed model (GLMM). It's interesting to note that the study finds a negative relationship between performance and the Human Development Index (HDI), although past football involvement has no bearing. Additionally important are interaction effects, which include population size, economic status, and football tradition.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-02-01
DOI
https://doi.org/10.36948/ijfmr.2025.v07i01.36215
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Visual Analysis of FIFA World Cup Data

Renu Yadav -, Swarnima Arya -, Abhimanyu Tiwari -, Rajesh Sharma -
International Journal For Multidisciplinary Research
Data Visualization and Analytics
article

Visual Analysis of FIFA World Cup Data

Renu Yadav -, Swarnima Arya -, Abhimanyu Tiwari -, Rajesh Sharma -
article en

Abstract

The FIFA World Cup has become an international event during the last thirty years, and the 2022 final in Qatar is expected to draw over three billion spectators. This study examines the variables affecting national football success by using data from 68 World Cup-playing nations between 1994 and 2022. The influence of national sports prowess, as seen by Olympic accomplishments, and football heritage, such as hosting history and World Cup victories, are among the important factors that determine success, according to a generalized linear mixed model (GLMM). It's interesting to note that the study finds a negative relationship between performance and the Human Development Index (HDI), although past football involvement has no bearing. Additionally important are interaction effects, which include population size, economic status, and football tradition.

International Journal For Multidisciplinary ResearchVol. 7(1)
Openalex Percentile: Top 99%
Data Visualization and Analytics
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