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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Main Author: Martin Lames
Format: Article
Language:English
Published: University of Uludag 2006-12-01
Series:Journal of Sports Science and Medicine
Subjects:
Online Access:http://www.jssm.org/vol5/n4/12/v5n4-12text.php
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spelling 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
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