Miguel PdL

The first element to work on via this course is Handling Event Data and the purpose is to learn how to :-

The code needed for this lecture is available at the Github SoccermaticsForPython repo.

Created a new organisation on Github called mmoffoot standing for Mathematical Modelling of Football. The purpose is to fork the Github projects used in the course to track my own changes to those repos.

First up is a fork of the SoccermaticsForPython repo into the mmoffoot area.

Then created a branch called ‘week1’ covering the changes I had made as of week1 of the course.

The next little hurdle here is the loading of the Statsbomb data. It’s really in another repo on Github called statsbomb / open-data and in order to always have access to the StatsBomb data within this repo was going to set up a git submodule for this repo. This means that any time in the future when this repo is cloned (new) then it has to be done with the recursive command switch.

However then I noted that the StatsBomb data is over 3Gb in size and that it doesn’t really make sense have a couple of copies of this data on the one machine so I just placed it in a directory higher.I then just add a soft link to the source data within the ‘Statsbomb’ folder.

Also modified the README file to point this out.

The first exercise is to

I made the code changes to 1LoadInData.py and run the code as

The output reads

I think the exercise is complete.

Learning how to extract match results from the StatsBomb open data is important, and being able to read in the StatsBomb open data is great because at the time of writing it has a number of competitions covered in it.