ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

A Soccer Bet Portfolio Strategy Project

Bayesian models of football leagues

A Python soccer championship simulation

https://scorecast-env.eba-dixbcmhw.eu-central-1.elasticbeanstalk.com/

Cloning brasfoot in Python with Hexagonal Architecture

Offside Judgment for Soccer Matches Using Drones

Simulation of soccer, how it achieves its goal with a constant velocity

Source code of @FootGramBot in Telegram

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

Mexican football league matches results scrapper

Scrape data on all soccer matches daily, and create a stylized image containing info on today's matches (e.g. kick-off time and broadcasters).

This is a simple playground for data analysis and stastistics based on soccer matches of Europe

Elite Schedule is an open source football REST API providing historical results to help analyse many years of data quickly and efficiently.

This is SoccerGlanceAPI, this is an API for essentially creating match highlights, it represents a layer between the User and our Model Server.

Soccer Hub — это веб-приложение, разработанное на фреймворке FastAPI, которое предоставляет API для управления информацией о футбольных командах, матчах и аналитикой. Проект ориентирован на поддержку адаптивного дизайна, что позволяет пользователям удобно получать доступ к данным с различных устройств.

Unofficial Python bindings for the public kicker.de news API

A collection of Python scripts that recommend world cup soccer matches to watch, without spoiling the results of the match