The ARCANE Project: How an Ecological Dynamics Framework Can Enhance Performance Assessment and Prediction in Football

Couceiro, Micael S.; Dias, Gonçalo; Araújo, Duarte; Davids, Keith

doi:10.1007/s40279-016-0549-2

Cited by 24 publications

(24 citation statements)

References 21 publications

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“…Beyond discrete indicators provided by traditional methods, team sports performance analysis needs to consider theoretical and practical frameworks that support evaluation of emergent structural and topological properties that underlie team functionality. Recent work has highlighted the value of reconceptualizing research and practice in team sports performance analysis, proposing new investigative methods, more coherent with principles of dynamical systems and complexity sciences [7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

et al. 2017

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This paper discusses how social network analyses and graph theory can be implemented in team sports performance analyses to evaluate individual (micro) and collective (macro) performance data, and how to use this information for designing practice tasks. Moreover, we briefly outline possible limitations of social network studies and provide suggestions for future research. Instead of cataloguing discrete events or player actions, it has been argued that researchers need to consider the synergistic interpersonal processes emerging between teammates in competitive performance environments. Theoretical assumptions on team coordination prompted the emergence of innovative, theoretically driven methods for assessing collective team sport behaviours. Here, we contribute to this theoretical and practical debate by re-conceptualising sports teams as complex social networks. From this perspective, players are viewed as network nodes, connected through relevant information variables (e.g. a ball-passing action), sustaining complex patterns of interaction between teammates (e.g. a ball-passing network). Specialised tools and metrics related to graph theory could be applied to evaluate structural and topological properties of interpersonal interactions of teammates, complementing more traditional analysis methods. This innovative methodology moves beyond the use of common notation analysis methods, providing a richer understanding of the complexity of interpersonal interactions sustaining collective team sports performance. The proposed approach provides practical applications for coaches, performance analysts, practitioners and researchers by establishing social network analyses as a useful approach for capturing the emergent properties of interactions between players in sports teams.

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Section: Introductionmentioning

confidence: 99%

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

et al. 2017

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“…Expert assessments may also be ineffective in sports breeding due to the possible bias of scouts in athletes' different levels of reputation (Findlay & Ste-Marie, 2004). Researchers propose special technical-tactical diagnostics (Hoare & Warr, 2000) and tests aimed at testing individual key skills in a particular sport (Couceiro et al, 2016;Krikuha & Shevtsov, 2012). In unison, our experiment proves that a stable result of an athlete is a high technical and tactical skill.…”

Section: Discussionmentioning

confidence: 74%

“…Sports abilities are prerequisites for sports achievements and the possibility of their progressive development (Pappalardo et al, 2017). The most important prerequisites include biological factors (Franchini et al, 2011), genetic advances (Stubbe et al, 2005), physical characteristics, type of nervous activity (Morris, 2000), the level of aerobic capacity, the ratio of fast and slow fibres in skeletal muscles (Couceiro et al, 2016), rates of biological maturation (Pearson et al, 2006). The system of sports selection is necessary for revealing sports abilities of future athletes.…”

Section: Introductionmentioning

confidence: 99%

Sports selection in martial arts based on the harmonic stability of results at competitions

Nagovitsyn¹,

Zekrin²,

Fendel³

et al. 2019

Journal of Human Sport and Exercise - 2019 - Spring Conferences of Sports Science

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The aim of the study: to develop a new approach to sports selection in martial arts based on the analysis of the harmonic stability of the results of fighters in competitions during a sports career. Study participants: Greco-Roman wrestlers of different qualifications (n = 114). Research methods: based on the method of studying sports biographies of athletes, mathematical-statistical data processing was carried out using Student's t-criterion. The arithmetic average and harmonic average performance of each Greco-Roman style athlete of different qualifications. The smaller the deviation of the mean harmonic value from the arithmetic average performance of a fighter, the more stable his competitive result. The results of the study. As a result of the analysis, it was revealed that the higher the qualification of an athlete, the more reliable the nonsignificance of the difference in results between the arithmetic and average harmonic indices during a sports career is revealed. Findings. The proposed in the study a new approach to sports selection based on the analysis of the harmonic stability of the results of wrestlers at competitions allows to reliably identify the prospects of a wrestler.

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“…40 It is not known whether this extends to other AFL participation pathway levels, as other contextual factors such as playing position, player orientation, match objective, ground size, and team/opposition skill levels also possible influencers of match activity profiles. 13,14,41 Future research should focus on incorporating these contextual factors and how they influence match activity profiles across the football seasons for each level of the AFL participation pathway. Finally, this study is an observational study and therefore causal links between physical fitness and match activity profiles cannot be made.…”

Section: Discussionmentioning

confidence: 99%

Relationships Between Physical Testing and Match Activity Profiles Across the Australian Football League Participation Pathway

Haycraft¹,

Kovalchik²,

Pyne³

et al. 2019

International Journal of Sports Physiology and Performance

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word count: 248 Text-only word count: 3,117 ABSTRACT Purpose: To establish levels of association between physical fitness and match activity profiles of players within the Australian Football League (AFL) participation pathway. Methods: Players (n = 287, range 10.9 -19.1 years) were assessed on 20-m sprint, AFL agility, vertical jump (VJ) and running VJ, 20-m multi stage fitness test (MSFT), and Athletic Abilities Assessment (AAA). Match activity profiles were obtained from global positioning system (GPS) measures; relative speed, maximal velocity, and relative high speed running (HSR). Results: Correlational analyses revealed moderate relationships between sprint (r = 0.32-0.57, p ≤ 0.05), and jump test scores (r = 0.34-0.78, p ≤ 0.05) and match activity profiles in Local U12, Local U14, National U16 and National U18s, except jump tests in National U18s. AFL agility was also moderate-to-strongly associated in Local U12, Local U14, Local U18, and National U16s (r = 0.37-0.87, p ≤ 0.05), and strongly associated with relative speed in Local U18s (r = 0.84, p ≤ 0.05). Match relative speed and HSR were moderate-to-strongly associated with 20-m multi-stage fitness test (MSFT) in Local U14, Local U18, and National U18s (r = 0.41-0.95, p ≤ 0.05), and AAA in Local U12, and Local U18s (p = 0.35-0.67, p ≤ 0.05). Match activity profile demands increased between Local U12 and National U16s then plateaued. Conclusions: Physical fitness relates more strongly to match activity profiles in younger adolescent and National level players. Recruiters should consider adolescent physical fitness and match activity profiles as dynamic across the AFL participation pathway.

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The ARCANE Project: How an Ecological Dynamics Framework Can Enhance Performance Assessment and Prediction in Football

Cited by 24 publications

References 21 publications

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice

Sports selection in martial arts based on the harmonic stability of results at competitions

Relationships Between Physical Testing and Match Activity Profiles Across the Australian Football League Participation Pathway

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