A Premier League football dashboard.
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Updated
May 29, 2024 - Python
A Premier League football dashboard.
EA FC 24 Automated SBC Solving using Integer Programming ⚽
Web scraper to retrieve player and team data from Pro Football Reference.
Prediction of Premier League results using Machine Learning
A python package that is a wrapper for Plotly to generate football tracking and event data plots
an analytical panel consisting of basic stats for fpl exploration
Creation of a Fantasy Premier League data pipeline for analysis of both team & player performance. Technologies include, dbt, Prefect, Terraform & docker
Football management system DBMS python GUI project repository . This project is design on mysql database with python tiknter library for making a gui for the user
Predicting the outcomes of football matches using Monte Carlo simulations.
Scraping data from spanish football La Liga website
This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code included in this project can be used for other purposes when working with the Wyscout data set. For example minutes_played.py, fitting_functions.py and KPI_functions.py.
Generalized-VDEP. This indicator is published in 2023 MathSport Int.
This repository will contain all sorts of basic visualisation to step into the world of football analytics
A Python project for generating NFL daily fantasy contest lineups.
Soccer player tracking system
This project features a football match prediction framework that integrates LSTM (Long Short-Term Memory) models with the Elo rating system. It aims to predict the number of goals scored in a match using historical match data, with the objective of outperforming bookmakers in the betting market.
A short tutorial on using Python to extract football data from Understat and visualise a football match's summary (shot map + stats).
Python repository to scrape, process, and predict football outcomes using elo-rating, linear regression and CNNs
A easy-to-use wrapper for fetching data from FIFA.com and more.
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