📊⚽ 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.

A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat

API service to get data from Transfermarkt

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

The repository for the first internship project of Quera data analysis bootcamp

Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.

Scrape and analyze football players kits number from transfermarkt

Scrape top transfer and query fotball club in world

asyncIO, Github Actions, GCP, 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

Map of the Bundesliga teams from 1991 to 2021

A football transfer network analysis web application

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.

Saving Transfermarkt players to dynamodb

This is a Streamlit web app that allows users to explore Egyptian Premier League (EPL) player contracts and market values in an interactive way. The app scrapes data from Transfermarkt and presents it in an easy-to-use format.

A bot that uses transfermarkt api to get information of footballers/clubs and competitions

Footrix

📈 This code repository provides the tools for web scraping data from Transfermarkt and performing racial classification using DeepFace.