Markov simulation by numerical derivation in table tennis

Sebastian Wenninger, Martin Lames

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


This study tries to assess the impact of different tactical behaviors on the winning probability in table tennis by mathematical simulation. Using discrete states of the game and transitions between them by means of the Markov chain model, the numerical derivation of winning probabilities is calculated under assumption of the Markov chain property. The method introduced in this study improves the traditional model by omitting the necessity to perform a second modeling step to define the difficulty of tactical behaviors. Application of our method on table-tennis shows meaningful results like the identification of long rallies as highly influencing stroke types and the effects of risky play on winning probability in different game situations.

Original languageEnglish
Title of host publicationProceedings of the 10th International Symposium on Computer Science in Sports, ISCSS
EditorsPaul Chung, Andrea Soltoggio, Christian W. Dawson, Qinggang Meng, Matthew Pain
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319245584
StatePublished - 2016
Event10th International Symposium of Computer Science in Sport, IACSS/ISCSS 2015 - Loughborough, United Kingdom
Duration: 9 Sep 201511 Sep 2015

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference10th International Symposium of Computer Science in Sport, IACSS/ISCSS 2015
Country/TerritoryUnited Kingdom


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