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Here we look at a paper on football prediction models: https://link.springer.com/article/10.... This is interesting to check what new ideas are out there, which we might want to learn about? The paper is about a model which came 2nd in an international competition, where you were given data for multiple league and then had to look at another league which you did not have data about to see whether your model has understood football! The first class mentioned was statistical, like the Poisson model which we have looked at: • Poisson Football Models We can get the model from our course: • Poisson Football Betting Model | R - The L... which shows how to set things up and learns the essentials of R so that we can play around with the model to look at what we are interested in! It then looks at machine learning like we have looked at • Premier League Machine Learning Model Base... and Ratings systems, like ELO which we combined with machine learning here: • Champions League Prediction with ELO ratin... The paper notes how performance is not constant and varies from season to season which is always worth remembering. Have great weeks and awful ones, no magical system is going to change this :)