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Global Football Tournament Data
Sports & Recreation
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About
An expansive collection of data covering every match played in the FIFA World Cup from its inception in 1930 up to the 2022 tournament. The FIFA World Cup stands as the planet's most esteemed and widely viewed football event, bringing together elite national teams globally to vie for the world champion title. This tournament has taken place every four years since 1930, with exceptions in 1942 and 1946 due to World War II. Over the decades, it has evolved into a significant cultural phenomenon, attracting billions of viewers. This dataset captures the vast amount of match-specific information generated throughout the tournament's history. It is a valuable asset for anyone interested in football, sports analytics, or data science, providing abundant opportunities for research, analysis, and discovery.
Columns
The dataset is structured with 37 columns, including:
- Key Id
- Tournament Id: Unique identifier for the tournament (e.g., WC-1998, WC-2002).
- Tournament Name: The name of the World Cup tournament (e.g., 1998 FIFA World Cup, 2002 FIFA World Cup).
- Match Id: A unique identifier for each match.
- Match Name: The names of the teams playing (e.g., Brazil v Sweden).
- Year: The specific year in which the World Cup tournament was held.
- Datetime: The precise date and time when the match was played.
- Stage: The stage of the tournament in which the match occurred, such as group stage, quarter-finals, semi-finals, or the final.
- Stage Name: Similar to Stage, provides specific stage names (e.g., group stage, round of 16).
- Group Name: The name of the group if applicable (e.g., Group B, not applicable).
- Group Stage: A binary indicator (0 or 1) if the match was in the group stage.
- Knockout Stage: A binary indicator (0 or 1) if the match was in the knockout stage.
- Replayed: A binary indicator (0 or 1) if the match was replayed.
- Replay: Similar to Replayed.
- Match Date: The date when the match was played.
- Match Time: The time when the match was played.
- Stadium Id: Unique identifier for the stadium.
- Stadium Name: The name of the stadium where the match was played (e.g., Estadio Azteca, Estádio do Maracanã).
- City Name: The city where the stadium is situated (e.g., Mexico City, Al Rayyan).
- Country Name: The country hosting the match (e.g., Germany, Brazil).
- Home Team Id: Unique identifier for the home team.
- Home Team Name: The name of the home team (e.g., Brazil, Argentina).
- Home Team Code: The three-letter code for the home team (e.g., BRA, DEU).
- Away Team Id: Unique identifier for the away team.
- Away Team Name: The name of the away team (e.g., Mexico, France).
- Away Team Code: The three-letter code for the away team (e.g., MEX, DEU).
- Score: The match score (e.g., 1-0, 2-1).
- Home Team Goals: The number of goals scored by the home team (ranging from 0 to 10).
- Away Team Goals: The number of goals scored by the away team (ranging from 0 to 7).
- Home Team Score Margin: The difference in score for the home team (ranging from -7 to 9).
- Away Team Score Margin: The difference in score for the away team (ranging from -9 to 7).
- Extra Time: A binary indicator (0 or 1) if extra time was played.
- Penalty Shootout: A binary indicator (0 or 1) if the match was decided by a penalty shootout.
- Score Penalties: The score in the penalty shootout (e.g., 0-0, 3-4).
- Home Team Score Penalties: Goals scored by the home team in a penalty shootout (ranging from 0 to 5).
- Away Team Score Penalties: Goals scored by the away team in a penalty shootout (ranging from 0 to 5).
- Result: The outcome of the match (e.g., home team win, away team win, draw).
- Home Team Win: A binary indicator (0 or 1) if the home team won.
- Away Team Win: A binary indicator (0 or 1) if the away team won.
- Draw: A binary indicator (0 or 1) if the match ended in a draw.
Distribution
The dataset is typically provided as a CSV file. It contains 964 records across its 37 columns. The file size for the primary CSV is approximately 221.51 kB.
Usage
This dataset is ideal for:
- Performance Analysis: Examining the performance of various teams over extended periods.
- Trend Identification: Uncovering patterns and shifts in tournament dynamics.
- Predictive Modelling: Developing models to forecast outcomes of future matches.
- Academic Research: Supporting studies in sports analytics and data science.
- Exploratory Data Analysis: A foundation for discovering new insights within football data.
Coverage
The data spans every FIFA World Cup tournament held between 1930 and 2022. The tournament is typically held every four years, with the exceptions of 1942 and 1946. The dataset covers matches played globally by national teams from various countries.
License
CC0: Public Domain
Who Can Use It
This dataset is suited for:
- Football Enthusiasts: Those with a passion for the sport wishing to delve into historical match data.
- Sports Analysts: Professionals and hobbyists seeking to extract insights into team strategies and player performance.
- Data Scientists: Individuals keen on applying statistical methods and machine learning to a rich sports dataset.
- Researchers: Academics studying sports history, global events, or data-driven phenomena.
Dataset Name Suggestions
- FIFA World Cup Match History
- Global Football Tournament Data
- World Cup Match Statistics (1930-2022)
- International Football Tournament Record
- Historical World Cup Matches
Attributes
Original Data Source: Global Football Tournament Data
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