Jfjelstul Worldcup Data-csv !!top!! -

Originally hosted on GitHub and Kaggle , this project provides a multi-table structure that covers all and all 8 women’s tournaments (1991–2019) .

If you are working on a sports analytics project, data visualization, or just love football history, this is a goldmine. Joshua Fjelstul has compiled a comprehensive CSV dataset covering the FIFA World Cup from 1930 to the present. jfjelstul worldcup data-csv

Using the jfjelstul/worldcup CSV data, we quantified three major trends in World Cup history. The data’s cleanliness and documentation make it ideal for teaching sports analytics or replicating academic results. Future work could merge this with betting odds or FIFA rankings. Originally hosted on GitHub and Kaggle , this

Unlike flatter datasets, Fjelstul’s work contains over organized into 27 distinct datasets . This allows for complex relational queries that simple CSV files often cannot support without significant cleaning. Key Data Tables (CSV Format) Using the jfjelstul/worldcup CSV data, we quantified three

We focus on three testable hypotheses:

Data on the technical staff and match officials for every tournament.