Dark Mode
Elite Player Valuation Dataset
Sports & Recreation
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset presents information on the Top 500 Most Expensive Footballers in 2021, derived from Transfermarkt market values. These values are determined through various pricing models and extensive discussions within the Transfermarkt community, aiming to reflect a player's expected value in a free market rather than an actual transfer fee. The calculation takes into account both individual transfer specificities and situational conditions. The market values are not generated by an algorithm but rely on the collective insights of the community. The objective is to capture player demand and account for special factors and framework parameters in the medium term, comparing players individually and across clubs and leagues. While a player's contract length may have limited influence on their market value, the data reflects valuations updated twice a season, with additional intermediary updates for emerging young talents or new league signings. Key factors influencing these valuations include future prospects, age, performance at club and national level, league status, reputation, development potential, marketing value, and general market trends.
Columns
- player id (Integer): A unique identifier for each player.
- player name (String): The full name of the player.
- player position (String): The primary playing position of the footballer.
- player age (Integer): The age of the player.
- Market Value In Millions(£) (Float): The player's market value expressed in millions of British Pounds.
- player country (String): The country of origin or nationality of the player.
- player club (String): The football club the player is affiliated with.
- Matches (Integer): The number of matches played by the player in 2021.
- Goals (Integer): The total number of goals scored by the player in 2021.
- Own Goals (Integer): The number of own goals scored by the player in 2021.
- Assists (Integer): The number of goals assisted by the player in 2021.
- Yellow Cards (Integer): The number of yellow cards received by the player.
- Second Yellow Cards (Integer): The number of second yellow cards received by the player.
- Red Cards (Integer): The number of red cards received by the player.
- Number Of Substitute In (Integer): The count of times the player was substituted into a match.
- Number Of Substitute Out (Integer): The count of times the player was substituted out of a match.
Distribution
This dataset is provided as a CSV file, named
players.csv, with a size of 41.72 kB. It contains data for 500 distinct records across 16 columns.Usage
This dataset is ideal for:
- Market analysis in professional football.
- Conducting exploratory data analysis on player valuations.
- Identifying trends in footballer market values.
- Performance analysis of top-tier players.
- Supporting talent scouting and recruitment insights.
- Academic research on sports economics and player markets.
Coverage
The dataset focuses on the Top 500 Most Expensive Footballers as of 2021. It encompasses players from various countries and clubs globally. Player ages range from 16 to 36 years. While market values are primarily based on transfer fees in larger leagues, salaries play a greater role in smaller leagues, particularly for free transfers. Data updates are typically performed biannually, with additional updates for young players showing strong performances or new signings.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Data analysts and data scientists interested in sports.
- Sports economists and researchers studying player markets.
- Journalists and media outlets covering football transfers.
- Football enthusiasts and fantasy football managers.
- Professional football clubs for strategic insights into player valuation.
Dataset Name Suggestions
- Footballer Market Values 2021
- Elite Player Valuation Dataset
- Top 500 Football Market Analysis
- Global Football Talent Data 2021
Attributes
Original Data Source: Elite Player Valuation Dataset
QUALITY