For example, to find the teams with the most World Cup titles, we can use the following query:
SELECT year, COUNT(*) as num_matches FROM worldcup GROUP BY year ORDER BY year;
JFjelstul World Cup data-sqlite Code:
This query groups the data by winner and counts the number of titles won by each team.
This query sorts the data by attendance in descending order and returns the top 10 matches with the highest attendance. jfjelstul worldcup data-sqlite
This report provides a comprehensive analysis of the , a public dataset available on Kaggle. Created by user Jordan Fjelstul, this database offers a clean, well-structured, and comprehensive relational database of FIFA World Cup historical data. It covers tournaments from 1930 to 2014 (with later versions potentially extending to 2022) and includes granular data regarding matches, players, teams, and tournament hosting.
If you ran or saw a specific report (e.g., “most cards in a final”, “teams that never lost a group match but were eliminated”, “win percentage by confederation”), I can help reconstruct the SQL query or explain the schema. Otherwise, could you paste a snippet or describe what finding caught your eye? For example, to find the teams with the
The (often the worldcup R package or SQLite version) is a richly curated dataset of every World Cup match, goal, card, player appearance, and tournament from 1930 to 2022. When people say they’ve seen an “interesting report” from its SQLite form, they usually mean: