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Comprehensive tutorial and toolkit for football data webscraping using Python, Selenium, and various scraping techniques

Python 58 6 Updated Oct 14, 2025

Football Data Analytics Code

Jupyter Notebook 3 Updated Mar 30, 2026

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

Python 763 153 Updated Jan 7, 2026

Repositorio con info basica de archivos y documentos para la visualización de datos en fútbol y Python

Jupyter Notebook 72 21 Updated May 26, 2025

My Football Code

Jupyter Notebook 1 Updated Jul 26, 2024
Python 114 22 Updated Apr 19, 2026

A short tutorial on using Python to extract football data from Understat and visualise a football match's summary (shot map + stats).

Python 1 Updated Mar 27, 2022

python package for getting soccer statistics and general information

Python 16 5 Updated Sep 30, 2024

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Python 10,181 879 Updated Jan 28, 2026

This project provides practical examples and tutorials on using Ray for faster, scalable machine learning pipelines—including data preprocessing, hyperparameter tuning, distributed training, and qu…

Jupyter Notebook 4 Updated Oct 2, 2025

Executable example that is a part of my talk in Pycon Thailand 2023

Python 76 37 Updated Oct 18, 2025

A collection of different functions I use to analyze soccer/football

Jupyter Notebook 132 18 Updated Aug 12, 2025

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

R 1 Updated Aug 12, 2023

DataCamp Project Solutions

Jupyter Notebook 531 152 Updated Jan 1, 2025

Son of a Corner's viz of the week

Jupyter Notebook 1 Updated Jan 7, 2023

The Jupyter notebooks behind my my matplotlib tutorials.

Jupyter Notebook 36 10 Updated Nov 8, 2022

Son of a Corner's viz of the week

Jupyter Notebook 137 33 Updated Feb 13, 2023

An asynchronous Python wrapper for the Fantasy Premier League API.

Python 325 106 Updated Jul 26, 2024

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

Python 1,699 898 Updated Apr 20, 2026