MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS
Model building in game sports should maintain the constitutive feature of this group of sports, the dynamic interaction process between the two parties. For single net/wall games relative phase is suggested to describe the positional interaction between the two players. 30 baseline rallies in tennis...
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University of Uludag
2006-12-01
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doaj-287a4d873f014e52a11643aaa71484d62020-11-24T22:40:37ZengUniversity of UludagJournal of Sports Science and Medicine1303-29682006-12-0154556560MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONSMartin LamesModel building in game sports should maintain the constitutive feature of this group of sports, the dynamic interaction process between the two parties. For single net/wall games relative phase is suggested to describe the positional interaction between the two players. 30 baseline rallies in tennis were examined and relative phase was calculated by Hilbert transform from the two time-series of lateral displacement and trajectory in the court respectively. Results showed that relative phase indicates some aspects of the tactical interaction in tennis. At a more abstract level the interaction between two teams in handball was studied by examining the relationship of the two scoring processes. Each process can be conceived as a random walk. Moving averages of the scoring probabilities indicate something like a momentary strength. A moving correlation (length = 20 ball possessions) describes the momentary relationship between the teams' strength. Evidence was found that this correlation is heavily time-dependent, in almost every single game among the 40 examined ones we found phases with a significant positive as well as significant negative relationship. This underlines the importance of a dynamic view on the interaction in these games.http://www.jssm.org/vol5/n4/12/v5n4-12text.phpGame sportsmodel-buildingrelative phaserandom walks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Martin Lames |
spellingShingle |
Martin Lames MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS Journal of Sports Science and Medicine Game sports model-building relative phase random walks |
author_facet |
Martin Lames |
author_sort |
Martin Lames |
title |
MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS |
title_short |
MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS |
title_full |
MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS |
title_fullStr |
MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS |
title_full_unstemmed |
MODELLING THE INTERACTION IN GAME SPORTS - RELATIVE PHASE AND MOVING CORRELATIONS |
title_sort |
modelling the interaction in game sports - relative phase and moving correlations |
publisher |
University of Uludag |
series |
Journal of Sports Science and Medicine |
issn |
1303-2968 |
publishDate |
2006-12-01 |
description |
Model building in game sports should maintain the constitutive feature of this group of sports, the dynamic interaction process between the two parties. For single net/wall games relative phase is suggested to describe the positional interaction between the two players. 30 baseline rallies in tennis were examined and relative phase was calculated by Hilbert transform from the two time-series of lateral displacement and trajectory in the court respectively. Results showed that relative phase indicates some aspects of the tactical interaction in tennis. At a more abstract level the interaction between two teams in handball was studied by examining the relationship of the two scoring processes. Each process can be conceived as a random walk. Moving averages of the scoring probabilities indicate something like a momentary strength. A moving correlation (length = 20 ball possessions) describes the momentary relationship between the teams' strength. Evidence was found that this correlation is heavily time-dependent, in almost every single game among the 40 examined ones we found phases with a significant positive as well as significant negative relationship. This underlines the importance of a dynamic view on the interaction in these games. |
topic |
Game sports model-building relative phase random walks |
url |
http://www.jssm.org/vol5/n4/12/v5n4-12text.php |
work_keys_str_mv |
AT martinlames modellingtheinteractioningamesportsrelativephaseandmovingcorrelations |
_version_ |
1725704254375591936 |