Territorial gain dynamics regulates success in attacking sub-phases of team sports

Correia, Vanda; Araújo, Duarte; Davids, Keith; Fernandes, Orlando; Fonseca, Sofia

doi:10.1016/j.psychsport.2011.06.001

Cited by 18 publications

(25 citation statements)

References 24 publications

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“…In the current state-of-the-art, only a few papers have analysed the variability of displacement of football players [13][14][15]. All these studies focused on the variability within each sub-phase (e.g., 1 vs. 1 player, 2 vs. 2 players) without considering the full match dynamics (e.g., 11-a-side game).…”

Section: Variability Analysis In Sportmentioning

confidence: 99%

Dynamical Stability and Predictability of Football Players: The Study of One Match

Couceiro

Clemente

Martins

et al. 2014

Entropy

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Abstract:The game of football demands new computational approaches to measure individual and collective performance. Understanding the phenomena involved in the game may foster the identification of strengths and weaknesses, not only of each player, but also of the whole team. The development of assertive quantitative methodologies constitutes a key element in sports training. In football, the predictability and stability inherent in the motion of a given player may be seen as one of the most important concepts to fully characterise the variability of the whole team. This paper characterises the predictability and stability levels of players during an official football match. A Fractional Calculus (FC) approach to define a player's trajectory. By applying FC, one can benefit from newly OPEN ACCESSEntropy 2014, 16 646 considered modeling perspectives, such as the fractional coefficient, to estimate a player's predictability and stability. This paper also formulates the concept of attraction domain, related to the tactical region of each player, inspired by stability theory principles. To compare the variability inherent in the player's process variables (e.g., distance covered) and to assess his predictability and stability, entropy measures are considered. Experimental results suggest that the most predictable player is the goalkeeper while, conversely, the most unpredictable players are the midfielders. We also conclude that, despite his predictability, the goalkeeper is the most unstable player, while lateral defenders are the most stable during the match.

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Section: Variability Analysis In Sportmentioning

confidence: 99%

Dynamical Stability and Predictability of Football Players: The Study of One Match

Couceiro

Clemente

Martins

et al. 2014

Entropy

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“…They found that all teams exhibit a chaotic pattern in their performance over time, and that the top performing teams displayed a low-dimensional chaotic pattern. Another study with rugby teams, by Correia et al (2011) found that the effectiveness of attacking teams is predicted by the variability of their movements and by entropy levels in players' movements. These studies support the idea of healthy variability at different levels of analysis (i.e., performance at team level and movements at members level).…”

Section: Methodsmentioning

confidence: 99%

Complex Systems in Sport, International Congress: Linking Theory and Practice

2017

Complex Systems in Sport, International Congress: Linking Theory and Practice

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Collective sports comprise of cooperative and competitive organizational processes in which players have to be predictable for teammates and sufficiently diverse and unpredictable for opponents in order to satisfy the goal constraints. In highly stable, repetitive and thus predictable (cooperative or non-cooperative) environments the adaptive system may converge to a minimum unpredictability by minimizing the diversity of accessible patterns of functional behaviour. However, sport competition, akin to life itself, is not a highly stable and repetitive process based on negotiating stable environment. It creates conditions where highly demanding non-cooperative behaviour of the environment is rather rule than an exception. In such stochastically changing and non-cooperative environments, systems (players and teams) must develop high behavioural unpredictability potential to increase their fitness to the competitive environment. This means that the adaptation process rests on a tendency of permanent increase of the unpredictability potential which affords the ultimate goal, the survival (winning) of the system in sports environments. This state of affairs suggests that performance may be conceptualized in terms of unpredictability/diversity potential and that its development can be understood by the juxtaposition of three principles of adaptive systems: (a) relativity of organism-environment unpredictability; (b) satisficing diversity/unpredictability potential; and (c) tendency towards non-decreasing unpredictability/diversity. (a) Relativity of organism-environment unpredictability: Collective sports adaptation is a process of becoming fit to one's environment. Becoming fit means that the environment becomes more informative and less constraining for the player/ team and, on the other hand, the player/team becomes less informative, and thus more unpredictable for the environment. The relativity of organism-environment unpredictability is based on the conservation of bio-motor information principle (Hristovski, 1989). This principle says that performance variables, including motor abilities (effectivities), such as power, agility, speed, strength, endurance, etc., may be treated as entropy measures forming a state space in which training induces conversion of entropy into information. By increasing the effectivities,

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“… 4 [ 21 , 87 , 99 , 100 ] 15 [ 13 – 15 , 20 , 51 , 55 – 58 , 75 , 86 , 95 – 98 ] 2 [ 18 , 108 ] Performance—how Complete season/tournament? 5 [ 53 , 54 , 65 , 102 , 109 ] 12 [ 11 , 12 , 16 , 17 , 19 , 62 , 72 , 76 , 88 , 101 , 103 , 104 ] Is the research from a one-off tournament(s)? 2 [ 88 , 109 ] 15 [ 11 , 12 , 16 , 17 , 19 , 53 , 54 , 62 , 65 , 72 , 76 , 101 – …”

Section: Main Textmentioning

confidence: 99%

“…Video analysis research in rugby union frequently includes what studies that identify key events (for example, number of tackles in a match) to how studies that describe key events (for example, tackle technique relates to injury). Furthermore, the scope of these studies range from the description of in-depth case studies [ 10 – 12 ] to the broad analysis of commercial data bases [ 13 – 15 ]; and from studies that apply sophisticated statistical modelling that accounts for context [ 16 – 18 ] to studies that only report on the frequencies of events [ 19 – 21 ]. The sizes and types of samples used in these studies also vary considerably, a similar finding to that in Association Football (for a review: see Mackenzie and Cushion, 2013 [ 22 ]).…”

Section: Introductionmentioning

confidence: 99%

The what and how of video analysis research in rugby union: a critical review

et al. 2018

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BackgroundVideo analysis is a common tool used in rugby union research to describe match performance. Studies using video analysis range from broad statistical studies of commercial databases to in-depth case-studies of specific match events. The range of types of studies using video analysis in rugby union, and how different studies apply the methodology, can make it difficult to compare the results of studies and translate the findings to a real-world setting. In attempt to consolidate the information on video analysis in rugby, a critical review of the literature was performed.Main bodyNinety-two studies were identified. The studies were categorised based on the outcome of the study and the type of research question, sub-categorised as ‘what’ and ‘how’ studies. Each study was reviewed using a number of questions related to the application of video analysis in research.There was a large range in the sample sizes of the studies reviewed, with some of the studies being under-powered. Concerns were raised of the generalisability of some of the samples. One hundred percent of ‘how’ studies included at least one contextual variables in their analyses, with 86% of ‘how’ studies including two or more contextual variables. These findings show that the majority of studies describing how events occur in matches attempted to provide context to their findings. The majority of studies (93%) provided practical applications for their findings.ConclusionThe review raised concerns about the usefulness of the some of the findings to coaches and practitioners. To facilitate the transfer and adoption of research findings into practice, the authors recommend that the results of ‘what’ studies inform the research questions of ‘how’ studies, and the findings of ‘how’ studies provide the practical applications for coaches and practitioners.Electronic supplementary materialThe online version of this article (10.1186/s40798-018-0142-3) contains supplementary material, which is available to authorized users.

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Territorial gain dynamics regulates success in attacking sub-phases of team sports

Cited by 18 publications

References 24 publications

Dynamical Stability and Predictability of Football Players: The Study of One Match

Dynamical Stability and Predictability of Football Players: The Study of One Match

Complex Systems in Sport, International Congress: Linking Theory and Practice

The what and how of video analysis research in rugby union: a critical review

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