This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.

An unofficial api client for pulling player Stats, Fixtures, Tables and Results data from the Premier League

Apply machine learning to predict English Premier League soccer match.

A Premier League football dashboard.

Web-scraped Transfermarkt data for all soccer/football transfers in 10 European leagues over 30 seasons

A simple console application that enables hackers to get latest soccer scores and fixtures.

Prediction of Premier League results using Machine Learning

Creation of a Fantasy Premier League data pipeline for analysis of both team & player performance. Technologies include, dbt, Prefect, Terraform & docker

This project uses Expected Goals (xG) data and squad quality ratings within an elo-based Monte Carlo model to predict final standings in 7 major European soccer leagues and the UEFA Champions League.

API for pulling Premier League Data

Python Discord bot, powered by the API-Football API, designed to bring you real-time sports data right into your Discord server!

Sentiment analysis and topic modelling about Premier League footballers (2023)

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

Python package for Football Reference scraping and easy access to football data from various leagues

A Fantasy Premier League API in Python 3

A tool for getting English football premier league player stats from the official Premier League website

Download your FPL season data so you can learn from it and definitely win next year.

Data Science Project Using Soccer Data

A premier league bot that scrapes premier league table data of the current and past seasons.

A database that has all the players, clubs, stadiums, and matches that were available on the official website in 2021. The backend is connected to a desktop application where the user can choose to view the data according to the filters and sorting settings that they have set. The frontend is used to merely view differently queried data.