Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
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Updated
Sep 21, 2020 - Python
Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
A football transfer network analysis web application
Map of the Bundesliga teams from 1991 to 2021
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
Web-scraped Transfermarkt data for all soccer/football transfers in 10 European leagues over 30 seasons
Scrape top transfer and query fotball club in world
My Childhood Soccer Card Project
This repository contains a collection of scripts that scrape data from Transfermarkt.com. The objective of this project is to analyze the relationship between player characteristics and player value.
📈 This code repository provides the tools for web scraping data from Transfermarkt and performing racial classification using DeepFace.
The repository for the first internship project of Quera data analysis bootcamp
Integrating FPL, Transfermarkt, and Understat data, our strategy optimizes squad selection. This approach, leveraging market values and detailed player statistics, ensures both financial prudence and on-field performance. Strategic acquisitions align with set rules and budget constraints, emphasizing value-driven choices for a robust squad
Footrix
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
API service to get data from Transfermarkt
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
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