Fjelstul Worldcup R Package |work| Jun 2026

Goals, penalty kicks, bookings (yellow/red cards), and substitutions.

The more Emma worked with the package, the more she realized its potential to inform and enhance her understanding of the sport. She started to share her findings with fellow skiing enthusiasts and even wrote a blog post or two to showcase the capabilities of the fjelstul package. fjelstul worldcup r package

# 1. Get momentum for the 2022 World Cup Final final_momentum <- compute_momentum(match_id = 4001945043) each tournament a movement. Before long

The package follows a relational structure where each unit of observation (like a player or a match) has a unique ID, making it easy to join different tables for complex analysis. Dataset Name Description tournaments Metadata on each World Cup (host, winner, dates, format). matches Comprehensive match data including stadium and results. players Information on every player who has appeared in a squad. goals bookings (yellow/red cards)

A journalist used fjelstul to prove that red cards were 40% more likely in knockout matches when the referee was from a nation with a colonial history over one of the teams. A high school teacher in Brazil taught probability using the distribution of hat-tricks. A data artist made a sonification of every World Cup goal—each country assigned a musical note, each tournament a movement.

Before long, Emma's work with fjelstul had caught the attention of the FIS Ski World Cup organizers. They were impressed by her innovative use of data analysis to gain insights into the sport and reached out to her to collaborate on future projects. Emma was thrilled to have the opportunity to work with the FIS and contribute to the development of the sport.