eshevelevee's Stars
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
eddwebster/football_analytics
📊⚽ 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.
Friends-of-Tracking-Data-FoTD/SoccermaticsForPython
This repo is dedicated for people getting started with Python using the concepts derived from the book Soccermatics (Sumpter 2016)
Friends-of-Tracking-Data-FoTD/LaurieOnTracking
Laurie's code for Metrica tracking data.
dcaribou/transfermarkt-datasets
⚽️ Extract, prepare and publish Transfermarkt datasets.
Friends-of-Tracking-Data-FoTD/passing-networks-in-python
Sergio Llana's passing network plots with eventing and tracking football data
soccer-analytics-research/fot-valuing-actions
Friends of Tracking: Tutorial on valuing actions in football.
Friends-of-Tracking-Data-FoTD/mapping-match-events-in-Python
Luca Pappalardos code for working with and plotting Wyscout data
CleKraus/soccer_analytics
Python project trying to facilitate and being a starting point for soccer analytics projects.
dcaribou/transfermarkt-scraper
🕸️ Collects data from Transfermarkt website
FCrSTATS/tyrone_mings
dbrgn/orochi
Orochi is an interactive command line client for 8tracks.com.
Friends-of-Tracking-Data-FoTD/Last-Row
Last row tracking data and code
Dato-Futbol/xg-model
An example of how to create a xG model using R and Wyscout event data
statsbomb/socplot
Python package that helps you visualize football data :soccer:
willkurt/ProbAndStats-PyDataNYC2019
Introduction to Probability and Statistics
andrewRowlinson/expected-goals-thesis
A repository for analysis on Expected Goals using StatsBomb and Wyscout data
andrewsimplebet/expected_goals_deep_dive
A tutorial on using cross validation and calibrating predictions for expected goals models in soccer
sanjitva/Predicting-Football-Player-Transfer-Values
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
emordonez/transfermarkt-transfers
Web-scraped Transfermarkt data for all soccer/football transfers in 10 European leagues over 30 seasons
FCrSTATS/SportsCodePy
Converts pandas dataframe to SportsCode ready XML files
joseparreiras/transfermarkt
Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
ian-shepherd/tyrone_mings
vict5330/Football_transfers-repo
Webscraping of transfermarkt.com and predicting of the transfer fees