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Stochastic based football simulation using data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
2018 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis is an extension of a football simulator made in a previous project, where we also made different visualizations and simulators based on football data. The goal is to create a football simulator based on a modified Markov chain process, where two teams can be chosen, to simulate entire football matches play-by-play. To validate our model, we compare simulated data with the provided data from Opta. Several adjustments are made to make the simulation as realistic as possible. After conducting a few experiments to compare simulated data with real data before and after adjustments, we conclude that the model may not be adequately accurate to reflect real life matches.

Place, publisher, year, edition, pages
2018. , p. 35
Series
UPTEC F, ISSN 1401-5757 ; 18052
Keywords [en]
football, markov, stochastic, data
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-359835OAI: oai:DiVA.org:uu-359835DiVA, id: diva2:1245916
Educational program
Master Programme in Engineering Physics
Presentation
2018-08-30, 12:13 (English)
Supervisors
Examiners
Available from: 2018-09-13 Created: 2018-09-06 Last updated: 2018-09-13Bibliographically approved

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fulltext(1176 kB)604 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf