Collection of my Python projects
A simple package providing football data
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
ProSports: A dynamic football stats website built with HTML, CSS, and JS, powered by API-Football.
Football News API – Get real-time football news from major leagues, teams, categories, and dates through a fast and simple REST API.
Python tool for collecting all raw data from the Fantasy Premier League (FPL) API. The collector fetches every available dataset including all 101 player attributes, fixtures, teams, and gameweek information and saves them in structured JSON, CSV, and TXT formats.
FutStats is a C++ OOP project providing a comprehensive football (soccer) statistics management system. It features detailed data for 18 top-league teams (2022-23 season), including player stats, match schedules, club history, a fantasy tournament, quiz, and team suggestions.
Interactive Premier League analytics dashboard built with Streamlit. Compare team performance, xG trends, attacking/defensive metrics, and more.
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