Scrape and analyze football players kits number from transfermarkt
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Updated
Jun 12, 2024 - Python
Scrape and analyze football players kits number from transfermarkt
A bot that uses transfermarkt api to get information of footballers/clubs and competitions
Map of the Bundesliga teams from 1991 to 2021
Scrape top transfer and query fotball club in world
Footrix
A football transfer network analysis web application
📈 This code repository provides the tools for web scraping data from Transfermarkt and performing racial classification using DeepFace.
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.
Python (scrapy, asyncIO), Apache Airflow, GCP (Storage Bucket, Functions, BigQuery, VM), dbt, Terraform, Docker
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
My Childhood Soccer Card Project
Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
The repository for the first internship project of Quera data analysis bootcamp
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
API service to get data from Transfermarkt
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
📊⚽ 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.
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