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Short Course On
Football Analytics
27-30 May 2024
Course Lecturers
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Ioannis Ntzoufras (AUEB)
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Dimitris Karlis (AUEB)
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Leonardo Egidi (University of Trieste)
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Vasilis Armatas (Olympiakos FC)
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Location: Virtual (TEAMS)
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The program will be announced soon.
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DAY 1
18.00-21.00 Monday 27/5/2024
18.00-19.20 Lecture 1 by Ioannis Ntzoufras
Current topics in Football Analytics
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19.40-21.00 Lecture 2 by V. Armatas
Elevating performance analysis: From video to data-driven insights for team assessment, opponent evaluation, and talent identification (Part 1)​
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DAY 2
18.00-21.00 Tuesday 28/5/2024
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18.00-19.20 Lecture 3 by V. Armatas
Elevating performance analysis: From video to data-driven insights for team assessment, opponent evaluation, and talent identification (Part 2)​
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19:40-21.00: Lecture 4 by Ioannis Ntzoufras
Double Poisson Models, Prediction, and League re-generation
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DAY 3
18.00-21.00 Wednesday 29/5/2024
Lecture 5 by Leonardo Egidi
Models for Prediction Using the footbayes R package
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DAY 4
18.00-21.00 Thursday 30/5/2024
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Lecture 6 by Dimitris Karlis
Advanced Models ​for Football
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Course Details
The Course will be available to a limited number of participants. Register here.
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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)
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All course participants will receive a certificate of attendance if they attend all sessions.
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Contact
