Repository dedicated to notebooks concerning soccer analytics

Football Data Analysis for top European Leagues (2005/2006 - 2018/2019)

The purpose of the ncaa_select_picks repository is two fold: (1) Provide Python package that those more experienced with Python may use to fill out NCAA Men's March Madness brackets who just want to fill out a bracket for fun and (2) Provide an easy to use Python notebook for anyone to use to develop their understanding of Python and algorithms.…

A set of analytical notebooks on Novo Basquete Brasil (NBB), Brazil's main basketball league

This repository will be looking at Football doing a range of different activities with football data this will include Exploratory Data Analysis, Data visualization, Web scraping, machine learning applications and many other topics. This repository will consist of mainly Jupyter Notebooks and Python programming language.

An LSTM model is used to predict optimal England and Australian Squads for the next ashes series based on the recent performances of the players. Jupyter notebooks and scraped datasets are attached with this repository.

Ligue 1 2015-2016 team formation analysis

A simple python notebook that displays stats on 74 centuries of Virat Kohli. Visualised the data using 'Plotly Express' and inferred insights on his performance.