What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

Woods, Carl T.; Joyce, Christopher; Robertson, Sam

doi:10.1016/j.jsams.2015.04.013

Cited by 41 publications

(35 citation statements)

References 19 publications

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“…As previously discussed, ability to correctly identify talented young players is an attractive premise. Despite a wealth of investment into TI literature over recent years, appropriateness (Abbott et al, 2005), accuracy (Woods, Joyce, & Robertson, 2016), and ethics (Rongen et al, 2018) of TI methods has also been equally challenged. Whilst the unstable and non-linear rate of maturation and development of adolescents, discussed above (Section 2.1.3.3), contributes to this debate, researchers poise several additional considerations questioning the validity of TI processes.…”

Section: Challenges Of Talent Identificationmentioning

confidence: 99%

Reliability and validity of field‐based fitness tests in youth soccer players

Dugdale

Arthur

Sanders

et al. 2018

European Journal of Sport Science

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IV-LIST OF FIGURES V-LIST OF TABLES VI-LIST OF ABBREVIATIONS CHAPTER 1-INTRODUCTION 1.1 Background 1.2 General aims of this thesis 1.3 Overview of thesis CHAPTER 2-REVIEW OF LITERATURE 2.1 Talent identification 2.1.1 Talent identification in soccer 2.1.2 Talent development 2.1.3 Limitations of talent identification 2.1.3.1 The relative age effect 2.1.3.2 Maturation-selection phenomenon 2.1.3.3 Growth and maturation 2.1.3.4 Challenges of talent identification 2.1.4 Limitations of talent development 2.1.5 Talent identification-summary 2.2 Physical characteristics of soccer 2.2.1 Physical characteristics of professional soccer 2.2.1.1 Running characteristics of professional soccer 2.2.1.2 Strength and power characteristics of professional soccer 2.2.1.3 Anthropometric and morphologic characteristics of professional soccer 2.2.1.4 Physical characteristics of professional soccer-summary 2.2.2 Physical characteristics of youth soccer 2.2.2.1 Running characteristics of youth soccer 2.2.2.2 Strength and power characteristics of youth soccer 2.2.2.3 Anthropometric and morphologic characteristics of youth soccer 2.2.2.4 Physical characteristics of youth soccer-summary 2.2.3 Physical characteristics of soccer-summary 2.3 Physical performance testing in soccer 2.3.1 Evaluating running characteristics of soccer 2.3.1.1 Evaluating running characteristics of soccerendurance 2.3.1.2 Evaluating running characteristics of soccerlinear sprint speed 2.3.1.3 Evaluating running characteristics of soccer-COD/agility 2.3.2 Evaluating strength and power characteristics of soccer 2.3.2.1 Evaluating strength characteristics of soccer 2.3.2.2 Evaluating power characteristics of soccer 2.3.3 Evaluating anthropometric and morphologic characteristics of soccer 2.3.4 Physical performance testing in soccer-summary 2.4 Physical performance testing for talent identification and development 2.4.1 Physical performance testing for talent identification 2.4.2 Physical performance testing for talent development 2.5 Literature review-summary 2.6 Aims VII-SYNTHESIS (LITERATURE REVIEW-CHAPTER 3) CHAPTER 3-RELIABILITY AND VALIDITY OF COMMONLY USED FIELD-BASED FITNESS TESTS IN YOUTH SOCCER PLAYERS 3.1 Introduction 3.2 Methods 3.3 Results 3.4 Discussion 3.5 Conclusion VIII-SYNTHESIS (CHAPTER 3-CHAPTER 4) CHAPTER 4-CHANGE OF DIRECTION AND AGILITY PERFORMANCE ASSESSMENT IN PROFESSIONAL YOUTH SOCCER PLAYERS 4.1 Introduction 4.2 Methods 4.3 Results 4.4 Discussion 4.5 Conclusion IX-SYNTHESIS (CHAPTER 4-CHAPTER 5) CHAPTER 5-A COMPARISON OF OBJECTIVE AND SUBJECTIVE EVALUATION METHODS OF PHYSICAL QUALITIES IN PROFESSIONAL YOUTH SOCCER PLAYERS 5.1 Introduction 5.2 Methods 5.3 Results 5.4 Discussion 5.5 Conclusion X-SYNTHESIS (CHAPTER 5-CHAPTER 6

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Section: Challenges Of Talent Identificationmentioning

confidence: 99%

Reliability and validity of field‐based fitness tests in youth soccer players

Dugdale

Arthur

Sanders

et al. 2018

European Journal of Sport Science

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“…Partially explaining the subjective recruitment process, Woods, Joyce and Robertson (2016) compared the technical skill involvements of players within this tournament relative to their draft status (drafted or non-drafted). Results indicated distinctive differences in the technical skill involvements of these players, with drafted players accruing a greater count of contested possessions and inside 50's relative to their non-drafted counterparts (Woods, Joyce, & Robertson, 2016a). However, this study did not delineate the use of technical skill indicators to classify players of differing field positions.…”

Section: Introductionmentioning

confidence: 97%

Classification of playing position in elite junior Australian football using technical skill indicators

Woods

Veale

Fransen

et al. 2017

Journal of Sports Sciences

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15In team sport, classifying playing position based on a players' expressed skill sets can provide a guide 16 to talent identification by enabling the recognition of performance attributes relative to playing position. 17Here, elite junior Australian football (AF) players were a priori classified as one of four common 18 playing positions; forward, midfield, defence, and ruck. Three analysis approaches were used to assess 19 the extent to which 12 in-game skill performance indicators could classify playing position. These were 20 a linear discriminant analysis (LDA), random forest, and a PART decision list. The LDA produced 21 classification accuracy of 56.8%, with class errors ranging from 19.6% (midfielders) to 75.0% (ruck). 22The random forest model performed at a slightly worse level (51.62%), with class errors ranging from 23 27.8% (midfielders) to 100% (ruck). The decision list revealed six rules capable of classifying playing 24 position at accuracy of 70.1%, with class errors ranging from 14.4% (midfielders) to 100% (ruck). 25Although the PART decision list produced the greatest relative classification accuracy, the technical 26 skill indicators reported were generally unable to accurately classify players according to their position 27 using the three analysis approaches. This homogeneity of player type may complicate recruitment by 28 constraining talent recruiter's ability to objectively recognise distinctive positional attributes. 29 30

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“…Coordinative action skills in judo refer to the ability of an athlete to achieve appropriate movement at the right moment while quickly adjusting to the constantly instable competitive situation (Miarka, Branco, Vecchio, Camey, & Franchini, 2015). Notational analysis is concerned with recognizing movement patterns, often mentioned to as 'performance indicators', in the championship environment (Woods, Joyce, & Robertson, 2016). While match demands have been well-described in judo using time-motion data and muscle group specific torque production (Lech, Chwała, AmbroÐy, & Sterkowicz, 2015), a technical-tactical (T-T) model (Sterkowicz, Sacripanti, & Sterkowicz-Przybycien, 2013), with accurate biomechanical and statistical analyses considering anthropometric aspects, is needed to evaluate contextual information between weight divisions.…”

Section: Introductionmentioning

confidence: 99%