Football performance modelling in python
An article with football game outcome analysis in #jupyter.
One of the key features to predict a football game turned out to be the best attacking player even though "A ferocious scream from the stands, a mistaken whistle from the ref’, or the shrimps on the lunch menu may jeopardise the whole outcome of the match."
Authors also highlighted improtance of amplitude of persistence diagrams as a key feature.
This is a suggested by the channel readers material. Don’t forget to thank them by giving claps 👏 on Medium and starring repository if you found a code useful.
Link: https://towardsdatascience.com/the-shape-of-football-games-1589dc4e652a
Code: https://github.com/giotto-ai/football-tda
#football #soccer #betting #readersmaterial
An article with football game outcome analysis in #jupyter.
One of the key features to predict a football game turned out to be the best attacking player even though "A ferocious scream from the stands, a mistaken whistle from the ref’, or the shrimps on the lunch menu may jeopardise the whole outcome of the match."
Authors also highlighted improtance of amplitude of persistence diagrams as a key feature.
This is a suggested by the channel readers material. Don’t forget to thank them by giving claps 👏 on Medium and starring repository if you found a code useful.
Link: https://towardsdatascience.com/the-shape-of-football-games-1589dc4e652a
Code: https://github.com/giotto-ai/football-tda
#football #soccer #betting #readersmaterial
Medium
The shape of football games
Modelling the outcome of football matches using player characteristics and topological data analysis