Determining Youth Profile using Principle Component Analysis for Identifying Talent in Sports

doi:10.35940/ijrte.b1052.0782s719

Cited by 2 publications

(1 citation statement)

References 28 publications

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“…In this way, Principal Component Analysis (PCA) explains the variance of a large set of dependent variables by transforming them into the essential independent original variables (Groth, Hartmann, Klie, & Selbig, 2013;Weaving, Marshall, Earle, Nevill, & Abt, 2014). PCA has been used in ice hockey (Robbins, Renaud, & Pearsall, 2018) and in field hockey (Muazu, 2019), but to date, no study has analyzed PCA according to the field player's position in national team official competitive matches. The aim of this study was to assess the principal components (PC) of women field hockey players´ TL distinguishing by playing positions (i.e., back, midfielder, forward).…”

Section: Introductionmentioning

confidence: 99%

Principal component analysis identifies different representative match load profiles in international women’s field hockey based on playing positions. [El análisis de componentes principales identifica diferentes perfiles de rendimiento en función de las posiciones en partidos internacionales de hockey hierba femenino].

Morencos¹,

Romero-Moraleda²,

Rico-González³

et al. 2021

Rev. int. cienc. deporte

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The aim of this study was to assess the principal components (PC) of women’s field hockey players´ TL distinguishing by playing positions (i.e., back, midfielder, forward). Data were collected from sixteen players belonging to the Spanish National women’s field hockey team during 13 official matches from the European Championship, World Series, and Pre-Olympic tournament. The Principal Component Analysis (PCA) grouped a total of 16 variables in five to six PC, explaining between 68.6 and 80% of the total variance. Different variables formed the PC that explain the player’s performance in different field positions. There were differences by positions in the distance covered at 21 to 24 km·h-1 (midfielders>forwards), decelerations from 5 to 4 m·s-2 (midfielders>forwards), and in maximum accelerations (midfielders>backs). Overall, strength and conditioning coaches should combine exercises which induce a high degree of aerobic endurance and power. However, some specification should be made by playing position: (1) defenders should perform training sessions with at least the same amount of volume as in the matches; (2) forwards should perform training efforts that ensure high repeated sprint ability; and (3) midfielders should perform a high training volume to develop high-intensity aerobic endurance, in combination with short-term efforts.

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Section: Introductionmentioning

confidence: 99%

Principal component analysis identifies different representative match load profiles in international women’s field hockey based on playing positions. [El análisis de componentes principales identifica diferentes perfiles de rendimiento en función de las posiciones en partidos internacionales de hockey hierba femenino].

Morencos¹,

Romero-Moraleda²,

Rico-González³

et al. 2021

Rev. int. cienc. deporte

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Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby

Pino-Ortega

Rojas-Valverde

Gómez-Carmona

et al. 2021

IJERPH

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Since the accelerating development of technology applied to team sports and its subsequent high amount of information available, the need for data mining leads to the use of data reduction techniques such as Principal Component Analysis (PCA). This systematic review aims to identify determinant variables in soccer, basketball and rugby using exploratory factor analysis for, training design, performance analysis and talent identification. Three electronic databases (PubMed, Web of Science, SPORTDiscus) were systematically searched and 34 studies were finally included in the qualitative synthesis. Through PCA, data sets were reduced by 75.07%, and 3.9 ± 2.53 factors were retained that explained 80 ± 0.14% of the total variance. All team sports should be analyzed or trained based on the high level of aerobic capacity combined with adequate levels of power and strength to perform repeated high-intensity actions in a very short time, which differ between team sports. Accelerations and decelerations are mainly significant in soccer, jumps and landings are crucial in basketball, and impacts are primarily identified in rugby. Besides, from these team sports, primary information about different technical/tactical variables was extracted such as (a) soccer: occupied space, ball controls, passes, and shots; (b) basketball: throws, rebounds, and turnovers; or (c) rugby: possession game pace and team formation. Regarding talent identification, both anthropometrics and some physical capacity measures are relevant in soccer and basketball. Although overall, since these variables have been identified in different investigations, further studies should perform PCA on data sets that involve variables from different dimensions (technical, tactical, conditional).

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Determining Youth Profile using Principle Component Analysis for Identifying Talent in Sports

Cited by 2 publications

References 28 publications

Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby

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