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

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