This dataset contains information on international soccer games throughout the years. It includes results of soccer games and information about the players who scored the goals. The dataset contains data from 1872 up to 2023.
data/results.csv
- CSV with results of soccer games between 1872 and 2023home_score
- The score of the home team, excluding penalty shootoutsaway_score
- The score of the away team, excluding penalty shootoutstournament
- The name of the tournamentcity
- The name of the city where the game was playedcountry
- The name of the country where the game was playedneutral
- Whether the game was played at a neutral venue or not
data/shootouts.csv
- CSV with results of penalty shootouts in the soccer gameswinner
- The team that won the penalty shootout
data/goalscorers.csv
- CSV with information on goal scorers of some of the soccer games in the results CSVteam
- The team that scored the goalscorer
- The player who scored the goalminute
- The minute in the game when the goal was scoredown_goal
- Whether it was an own goal or notpenalty
- Whether the goal was scored as a penalty or not
The following columns can be found in all datasets:
date
- The date of the soccer gamehome_team
- The team that played at homeaway_team
- The team that played away
These shared columns fully identify the game that was played and can be used to join data between the different CSV files.
- Which are the 15 countries that have won the most games since 1960? Show them in a horizontal bar plot.
- How many goals are scored in total in each minute of the game? Show this in a bar plot, with the minutes on the x-axis. If you're up for the challenge, you could even create an animated Plotly plot that shows how the distribution has changed over the years.
- Which 10 players have scored the most hat-tricks?
- What is the proportion of games won by each team at home and away? What is the difference between the proportions?
- How many games have been won by the home team? And by the away team?