Short Course on
Football Analytics
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Ioannis Ntzoufras (AUEB)
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Dimitrios Karlis (AUEB)
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Leonardo Egidi (University of Trieste)
DAY 1
18.15-21.00 Wednesday 26/5/2021
Lecture 1 by Ioannis Ntzoufras
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Current topics in Football Analytics
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Double Poisson Models, Prediction, and League re-generation
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Download Example [Premier League 20106/7]
DAY 2
18.15-21.00 Thursday 27/5/2021
Lecture 2 by Leonardo Egidi
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Bayesian Models for Prediction Using the footbayes R package
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Download Rcode file
DAY 3
18.15-21.00 Friday 28/5/2021
Lecture 3 by Dimitris Karlis
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Prediction with Advanced Models
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Introduction to in-play analytics
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Download Slides
Course Details
The Course will be available to a limited number of participants. Register here.
All participants should have R installed in their computers. Some implementations will be possibly in OpenBUGS, Jags or STAN and footbayes package in R (https://github.com/LeoEgidi/footBayes)
All course participants will receive a certificate of attendance if they attend in all three sessions.
Contact