/World_Cup_2022

A Monte Carlo simulation of the FIFA 2022 World Cup using individual player data and head-to-head statistics.

Primary LanguageR

Simulating the FIFA 2022 World Cup

By Abhinav Raghunathan

The work in this repository was implemented for an article written on Medium.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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Special thanks goes to the below sources for their data and the masterminds behind the R Programming Language and its assorted libraries.

Data Sources:

  1. Head-to-Head Data: 11v11.com
  2. Player Statistics: FIFAIndex.com
  3. FIFA Organization Data: Wikipedia

Relevant R Packages:

  1. Hadley Wickham (2017). tidyverse: Easily Install and Load the 'Tidyverse'. R package version 1.2.1. https://CRAN.R-project.org/package=tidyverse

  2. Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2020). dplyr: A Grammar of Data Manipulation. R package version 0.8.5. https://CRAN.R-project.org/package=dplyr

  3. Hadley Wickham, Jim Hester and Romain Francois (2018). readr: Read Rectangular Text Data. R package version 1.3.1. https://CRAN.R-project.org/package=readr