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jfjelstul worldcup data-csv appearances

Jfjelstul Worldcup Data-csv Appearances

At first glance, it is merely a log of who played when. But look closer. This table is the structural engineering of football history. It tells you not just who won, but who endured. It captures the 89th-minute substitutions, the yellow card accumulation, the captains who played every second of extra time, and the reserves who never saw the pitch.

SELECT player_name, team, SUM(minutes_played) as total_minutes FROM appearances WHERE tournament = '2022' GROUP BY player_id ORDER BY total_minutes DESC

By aggregating player_id counts grouped by team_id and tournament_id , analysts can determine the experience level of a squad. jfjelstul worldcup data-csv appearances

Because appearances.csv includes own_goals and red_cards at the player-match level, you can ask bizarre, wonderful questions.

Which player received the earliest red card in a final? At first glance, it is merely a log of who played when

: Predicting match outcomes or player performance based on historical appearance patterns.

The appearances.csv file is a fundamental building block for World Cup historical analysis. It provides the necessary link between a player's career arc and the timeline of World Cup history. It is most valuable when used to calculate experience metrics or to filter players based on their tournament history. It tells you not just who won, but who endured

In the ecosystem of sports data science, few repositories are as meticulously maintained or as democratically accessible as Joshua Fjelstul’s jfjelstul/worldcup database. While the goals.csv file gets the glory and the matches.csv file provides the narrative spine, there is one table that captures the raw, human cost of the World Cup: .

While the exact column names can vary slightly depending on the version of the dataset, the standard schema for appearances.csv typically includes the following key variables:

Integrating performance metrics (like goals scored, assists, clean sheets) with appearance data to assess how player contributions change over time or across different tournaments.