shreyas7kha / Football-Mpl-Examples
A few examples of making football analytical visualisations using Python and Matplotlib
☆10Updated 3 years ago
Alternatives and similar repositories for Football-Mpl-Examples:
Users that are interested in Football-Mpl-Examples are comparing it to the libraries listed below
- The code here is pretty much everything I use to create my visuals. Currently only including code used to create my tables using data fro…☆14Updated last year
- This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code …☆12Updated 3 years ago
- Repository for program files used to produced football analysis visualisations. This is mostly me trying to replicate visualisations that…☆13Updated 2 years ago
- Fbref is a popular football stats/metrics site which collections information from Ted Knutson's StatsBomb. You can save this data in a cs…☆11Updated 3 years ago
- ☆8Updated 2 years ago
- xG Model predicts the probability of scoring goals from different points on the pitch.☆10Updated 4 years ago
- python package for getting soccer statistics and general information☆12Updated 6 months ago
- Twelve Community Dashboard☆8Updated 2 years ago
- A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport☆48Updated 3 years ago
- A repository for analysis on Expected Goals using StatsBomb and Wyscout data☆54Updated 2 years ago
- Repository for a how-to on training an expected-goals model for football.☆17Updated 6 years ago
- Get match event data from whoscored.com☆37Updated 2 months ago
- ☆12Updated 3 years ago
- Gallery for typical football plots created using matplotlib☆17Updated 3 years ago
- A tutorial on using cross validation and calibrating predictions for expected goals models in soccer☆34Updated 4 years ago
- Finding out the most important stats for a midfielder☆11Updated last year
- ☆14Updated 4 years ago
- overview into resources for analyzing the games, working with the data and showcasing applications of the broadcast tracking data.☆17Updated 3 years ago
- Repository for the 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' paper.☆32Updated last year
- Using packages to create shot charts generated in R Studio.☆39Updated 2 years ago
- Soccer Plotting Library☆31Updated 4 years ago
- optasoccer is a Python library for reading opta soccer data☆11Updated last year
- A new and non-invasive method of tracking Players in a Soccer Match.☆18Updated 5 years ago
- ☆11Updated 4 years ago
- A small Python package for estimating & plotting Bayesian hierarchical models for player-level football data☆27Updated 4 years ago
- Comprehensive Guide to explaining, creating and using an xG model☆35Updated 4 years ago
- ☆9Updated this week
- Comprehensive sports analytics guide w/ R & Python focus.☆16Updated last year
- An extendable Statsbomb API wrapper for data-pipelines☆50Updated 3 years ago
- ☆41Updated 4 years ago