Implementation of the VAEP framework including a new version: Hybrid-VAEP.
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Updated
May 14, 2024 - Python
Implementation of the VAEP framework including a new version: Hybrid-VAEP.
Europearn Football League matches analysis using PostgreSQL
Data Science Project Using Soccer Data
football data api connection
Streamlit app to present Football Player Evaluation
The program will allow you to enter four clubs. Then you will be inputting six results. Every team a home and an away game against every club. Then the program will output a table in the console which will sort the clubs accordingly based on their results. The table will show their number of wins, losses and draw, goals scored, goals conceded, g…
This is a Python script to scrape historical football data from the football-data.co.uk website. The script utilizes the requests library to fetch data from the website.
Elite Schedule is an open source football REST API providing historical results to help analyse many years of data quickly and efficiently.
This is a simple playground for data analysis and stastistics based on soccer matches of Europe
Sila referee telegram bot
Scrapedia is a scraper specifically designed to extract Brazilian soccer data from Futpédia's webpage.
This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code included in this project can be used for other purposes when working with the Wyscout data set. For example minutes_played.py, fitting_functions.py and KPI_functions.py.
Scrape soccer data from Wikipedia across various European football leagues and perform interactive data visualizations on it.
Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
Create a database of ⚽️ data from understat.com
Python Discord bot, powered by the API-Football API, designed to bring you real-time sports data right into your Discord server!
A premier league bot that scrapes premier league table data of the current and past seasons.
This repository will contain all sorts of basic visualisation to step into the world of football analytics
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