I just wanted to post a brief update of what I have been working on lately. The Swedish leagues are soon starting and the work I’m doing together with ÖFK is making some real progress. So expect a lot more on the blog in the coming months!
While I was at it I made three more projections at more or less the half way mark of the seasons. Continue reading 3 more projections
With most of the European top leagues reaching the half way mark I thought it was time to start looking at my league projections again. Continue reading The how good was my prediction post.
This post turned out to become quite a lot related to programming. As I mentioned in the last post my idea was make my predictive table positions/points model more accurate by adding more data to it. I wanted to use my own football-data parser in order to add shots data, including TSR to all teams included in the model.
With the Swedish leagues slowly coming to an end I wanted to look at creating a method for making a qualified, statistically based projection of how football leagues will end up. As the name of this blog now implies, I have approached the problem with machine learning and the results look really promising!