football-analytics
There are 31 repositories under football-analytics topic.
- football_analytics
eddwebster / football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Language:Jupyter Notebook 1924 FantasyFootballAnalytics / ffanalytics
ffanalytics R package
Language:R 159diegopastor / awesome-football-analytics
A curated list of football analytics awesome resources, articles, books and more!
- ggshakeR
abhiamishra / ggshakeR
An analysis and visualization R package that works with publicly available soccer data
Language:R 113 JanVanHaaren / soccer-analytics-resources
Collection of references, datasets and software libraries for soccer analytics.
ZOXEXIVO / football-simulator
Football simulation engine (like Football Manager) written in pure Rust
Language:Rust 109- xg-model
Dato-Futbol / xg-model
An example of how to create a xG model using R and Wyscout event data
Language:R 74 huffyhenry / sync.soccer
Synchronise event and tracking data using dynamic programming
Language:Haskell 58A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
Language:R 46Regista6 / EA-FC-24-Automated-SBC-Solving
EA FC 24 Automated SBC Solving using Integer Programming ⚽
Language:Python 39Slothfulwave612 / Football-Analytics-With-Python
A repository for football analytics
Language:Jupyter Notebook 39hadjdeh / football-data-analysis
Football Data Processing & Visualization
Language:Jupyter Notebook 38saheedniyi02 / fpl-ai
A machine learning system that predicts fpl points of players
Language:Jupyter Notebook 37- pldashboard
tom-draper / pldashboard
A Premier League football dashboard.
Language:Python 30 mjk2244 / pro-football-reference-web-scraper
Web scraper to retrieve player and team data from Pro Football Reference.
Language:Python 29- Predicting-Football-Player-Transfer-Values
sanjitva / Predicting-Football-Player-Transfer-Values
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
Language:Jupyter Notebook 27 sanjeevnara7 / FootballPassPrediction
Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)
Language:Jupyter Notebook 21Mostafa-Nafie / Football-Object-Detection
This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.
Language:Jupyter Notebook 20somdeep / Statball
Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb
Language:C# 20Simulator for the UEFA Champions League group stage draw.
Language:Jupyter Notebook 16tanjt107 / football-prediction
A multiplicative rating model for football written in Python
Language:HCL 15AndresNavarrete / football_predictor
Prediction of Premier League results using Machine Learning
Language:Python 13opunsoars / pitchly
A python package that is a wrapper for Plotly to generate football tracking and event data plots
Language:Python 11sidthakur08 / fpl_explore
an analytical panel consisting of basic stats for fpl exploration
Language:Python 10- modelling-football-scores
imarranz / modelling-football-scores
My aim to develop a model that predicts the scores of football matches. My code (python) implements various machine learning algorithms to analyze team and player statistics, as well as historical match data to make informed predictions.
Language:Jupyter Notebook 9 nlarki / Fantasy-League-Pipeline
Creation of a Fantasy Premier League data pipeline for analysis of both team & player performance. Technologies include, dbt, Prefect, Terraform & docker
Language:Python 9drahulsingh / Fifa-Dataset-SQL-Data-Analysis
The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.
EmilDanielsson / Player-Rating-Project
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.
Language:Python 8muhammadtalhasami / Football_management_system
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
Language:Python 8n-roth12 / DFSLineupOptimizer
A Python project for generating NFL daily fantasy contest lineups.
Language:Python 8TacticsBadger / MonteCarloFootballMatchSim
Predicting the outcomes of football matches using Monte Carlo simulations.
Language:Python 8AnshChoudhary / xGModel
This repository contains code to predict the Expected Goals (xG) from shots in football using various machine learning models.
Language:Jupyter Notebook 7Rikuhei-ynwa / Generalized-VDEP
Generalized-VDEP. This metric was presented in MathSports 2023.
Language:Python 7sdelquin / laliga-data
Scraping data from spanish football La Liga website
Language:Python 7kt474 / fantasy-football-wrapped
Detailed fantasy football analysis for your sleeper leagues
Language:Vue 6arinzecode / Nunez-vs-Haaland-Radar-Plot
The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.
Language:Jupyter Notebook 5