The Football Player Valuation API focuses on providing data related to football (soccer) players’ market values and associated statistics. It processes various fields such as player names, positions, ages, nationalities, and market values. The API allows users to filter players by position (e.g., goalkeeper, defender, midfielder, forward), making it ideal for analysis and research into player valuation trends.
[{"forwards":["Erling Haaland","Kylian Mbapp\u00e9","Lamine Yamal","Juli\u00e1n Alvarez","Lautaro Mart\u00ednez","Harry Kane"]}]
curl --location --request POST 'https://zylalabs.com/api/6082/football+player+valuation+api/8291/obtain+players+by+position' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"position":"Required"}'
[{"position":"Centre-Forward","players":[{"player_name":"Harry Kane","market_value":"\u20ac90.00m"}]}]
curl --location --request POST 'https://zylalabs.com/api/6082/football+player+valuation+api/8292/players+market+value' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"player":"Required"}'
[{"players":[{"name":"Harry Kane","age":31,"matches_played":31,"goals":27,"assists":10,"yellow_cards":4,"red_cards":0,"substitutions_on":0,"substitutions_off":2}]}]
curl --location --request POST 'https://zylalabs.com/api/6082/football+player+valuation+api/8293/players+stats' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"player":"Required"}'
| Header | Description |
|---|---|
Authorization
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[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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The Football Player Valuation API provides in-depth data on football players, including their market values, performance statistics, names, positions, ages, and nationalities.
Yes, the API allows users to filter players by their position, such as goalkeeper, defender, midfielder, or forward, making it suitable for targeted analysis.
You can utilize the Football Player Valuation API to gather comprehensive data on players' market values and performance metrics over time, enabling you to analyze trends and make informed conclusions.
Yes, the API is designed to cater to a wide range of users, from casual football fans interested in player statistics to professional analysts conducting detailed research on player valuations.
The Football Player Valuation API provides in-depth data on football players' market values and performance statistics, including player names, positions, ages, nationalities, and market values. Users can also filter players by their positions such as goalkeeper, defender, midfielder, and forward.
The "obtain players by position" endpoint returns a list of player names filtered by position. The "players market value" endpoint provides market values for specified players, while the "players stats" endpoint delivers detailed performance statistics, including age, matches played, goals, assists, and disciplinary records.
Key fields include "player_name," "market_value," "position," "age," "matches_played," "goals," "assists," "yellow_cards," and "red_cards." These fields provide essential insights into player performance and valuation.
Each endpoint returns data in a structured JSON format. For example, the "players stats" endpoint returns an array of player objects, each containing multiple fields related to the player's performance and personal details, making it easy to parse and analyze.
The "obtain players by position" endpoint requires a position parameter (e.g., forward, midfielder). The "players market value" endpoint needs a specific player name as a parameter, which can be obtained from the first endpoint. The "players stats" endpoint also requires a player name.
The "obtain players by position" endpoint provides player names by position. The "players market value" endpoint offers current market values, while the "players stats" endpoint includes comprehensive performance data, such as goals and assists for the current season.
Users can analyze player performance trends, compare market values, and assess player contributions to their teams. For instance, by examining goals and assists alongside market values, users can identify undervalued players or emerging talents.
Typical use cases include scouting for talent, analyzing player performance for fantasy leagues, conducting market research on player valuations, and studying trends in player statistics over seasons for academic or professional analysis.
Data accuracy is maintained through regular updates from reliable sources, including official league statistics and player performance metrics. Quality checks are implemented to ensure that the data reflects the most current and accurate information available.
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