Lotte Bransen gives an introduction to a series of lectures on valuing actions in football using statistical models and machine learning.
Contents:
- Why go beyond traditional statistics to assess football players?
- How to assess the performances of football players?
- What does the VAEP framework have to offer?
- What will you learn in upcoming tutorials?
All the code for this tutorial series is available here: github.com/Sci...
References:
Sarah Rudd. A Framework for Tactical Analysis and Individual Offensive Production Assessment in Soccer Using Markov Chains. nessis.org/ness...
Karun Singh. Introducing expected threat. karun.in/blog/....
Javier Fernández, Luke Bornn, Dan Cervone. Decomposing the Immeasurable Sport: A deep learning expected possession value framework for soccer. MIT Sloan Sports Analytics, 2019.
Maaike Van Roy, Pieter Robberechts, Tom Decroos, Jesse Davis. Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP. AAAI 2020 Workshop on Artificial Intelligence in Team Sports, 2020.
Derrick Yam. Attacking Contributions: Markov Models for Football. statsbomb.com/...
Nils Mackay. BLOG: Introducing a Possession Value framework. www.optasports...
Aditya Kothari. xPo. thecomeonman.g...
John Muller. Goals added: introducing a new way to measure soccer. www.americanso...
12 сен 2024