Funções Executivas e Idade Relativa como Preditores de Sucesso no Futebol
Resumo
A identificação bem-sucedida de potenciais futuros atletas de elite em uma idade precoce ajuda a fornecer treinamentos de alta qualidade e ambientes de treino para otimizar sua evolução e desenvolvimento. No entanto, uma grande variedade de diferentes habilidades e qualidades são necessárias para ter sucesso em esportes de elite, tornando a identificação de talentos geralmente um problema complexo e multifacetado a se enfrentar. Sendo assim, o presente estudo tem o objetivo de investigar a relação de funções executivas (FE) e idade relativa (IR) com o sucesso de atletas de elite de futebol de base. Especificamente, os testes utilizados foram o Color-Word Interference Test (CWI), Trail Making Test (TMT) e o Teste dos Cinco Pontos (TCP). Foram feitos testes de comparação entre grupos de sucesso e controle, além de um modelo preditivo. Foi possível identificar que os testes de CWI1, CWI3, TMT(b) e TCP3 estiveram relacionados a presença dos atletas em uma plataforma pública confiável de dados (Transfermarkt) de atletas profissionais entre 3 e 4 anos após os testes.
Palavras-chave:
Ciência de Dados no Esporte, Análise Estatística, Aprendizado de Máquina
Referências
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S. Jauhiainen, S. Aÿrämö, H. Forsman, and J.-P. Kauppi. Talent identification in soccer using a one-class support vector machine. International Journal of Computer Science in Sport, 18(3): 125–136, 2019.
K. Johnston, N. Wattie, J. Schorer, and J. Baker. Talent Identification in Sport: A Systematic Review. Sports Medicine, 48(1):97–109, 2018.
A. Kelly, M.R. Wilson, D.T. Jackson, and C.A. Williams. Technical testing and match analysis statistics as part of the talent development process in an English football academy. International Journal of Performance Analysis in Sport, 20(6):1035–1051, 2020.
Henry B Mann and Donald R Whitney. On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics, pages 50–60, 1947.
Olcay Mulazimoglu. The relative age effect (rae) in youth and professional soccer players in turkey. The Anthropologist, 18(2):391–398, 2014. doi: 10.1080/09720073.2014.11891557. URL https://doi.org/10.1080/09720073.2014.11891557.
Emir Mustafovic, Denis Causevic, Nedim Covic, Mirza Ibrahimovic, Haris Alic, Ensar Abazovic, and Semir Masic. Talent Identification in Youth Football: A Systematic Review. Journal of Anthropology of Sport and Physical Education, 4(4):37–43, 2020.
Nadim Nachar et al. The mann-whitney u: A test for assessing whether two independent samples come from the same distribution. Tutorials in quantitative Methods for Psychology, 4(1):13–20, 2008.
Thomas Peeters. Testing the wisdom of crowds in the field: Transfermarkt valuations and international soccer results. International Journal of Forecasting, 34(1):17–29, 2018. ISSN 0169-2070. doi: https://doi.org/10.1016/j.ijforecast.2017.08.002. URL https://www.sciencedirect. com/science/article/pii/S0169207017300754.
A.F. Silva, D. Conte, and F.M. Clemente. Decision-making in youth team-sports players: A systematic review. International Journal of Environmental Research and Public Health, 17 (11), 2020.
V. Unnithan, J. White, A. Georgiou, J. Iga, and B. Drust. Talent identification in youth soccer. Journal of Sports Sciences, 30(15):1719–1726, 2012.
L. Verburgh, E.J.A. Scherder, P.A.M. Van Lange, and J. Oosterlaan. Executive functioning in highly talented soccer players. PLoS ONE, 9(3), 2014.
T. Vestberg, R. Gustafson, L. Maurex, M. Ingvar, and P. Petrovic. Executive functions predict the success of top-soccer players. PLoS ONE, 7(4), 2012.
F Wilcoxon. Individual comparisons by ranking methods. biom. bull., 1, 80–83. 1945
T.L.G. Bergkamp, A.S.M. Niessen, R.J.R. den Hartigh,W.G.P. Frencken, and R.R. Meijer. Methodological Issues in Soccer Talent Identification Research. Sports Medicine, 49(9):1317–1335, 2019.
Leo Breiman. Random forests. Machine learning, 45(1):5–32, 2001.
Stephen P. Cobley, Joerg Schorer, and Joseph Baker. Relative age effects in professional german soccer: A historical analysis. Journal of Sports Sciences, 26(14):1531–1538, 2008. doi: 10.1080/02640410802298250. URL https://doi.org/10.1080/02640410802298250. PMID: 19040189.
Adele Diamond. Executive functions. Annual review of psychology, 64:135–168, 2013.
B.C.H. Huijgen, S. Leemhuis, N.M. Kok, L. Verburgh, J. Oosterlaan, M.T. Elferink-Gemser, and C. Visscher. Cognitive functions in elite and sub-elite youth soccer players aged 13 to 17 years. PLoS ONE, 10(12), 2015.
S. Jauhiainen, S. Aÿrämö, H. Forsman, and J.-P. Kauppi. Talent identification in soccer using a one-class support vector machine. International Journal of Computer Science in Sport, 18(3): 125–136, 2019.
K. Johnston, N. Wattie, J. Schorer, and J. Baker. Talent Identification in Sport: A Systematic Review. Sports Medicine, 48(1):97–109, 2018.
A. Kelly, M.R. Wilson, D.T. Jackson, and C.A. Williams. Technical testing and match analysis statistics as part of the talent development process in an English football academy. International Journal of Performance Analysis in Sport, 20(6):1035–1051, 2020.
Henry B Mann and Donald R Whitney. On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics, pages 50–60, 1947.
Olcay Mulazimoglu. The relative age effect (rae) in youth and professional soccer players in turkey. The Anthropologist, 18(2):391–398, 2014. doi: 10.1080/09720073.2014.11891557. URL https://doi.org/10.1080/09720073.2014.11891557.
Emir Mustafovic, Denis Causevic, Nedim Covic, Mirza Ibrahimovic, Haris Alic, Ensar Abazovic, and Semir Masic. Talent Identification in Youth Football: A Systematic Review. Journal of Anthropology of Sport and Physical Education, 4(4):37–43, 2020.
Nadim Nachar et al. The mann-whitney u: A test for assessing whether two independent samples come from the same distribution. Tutorials in quantitative Methods for Psychology, 4(1):13–20, 2008.
Thomas Peeters. Testing the wisdom of crowds in the field: Transfermarkt valuations and international soccer results. International Journal of Forecasting, 34(1):17–29, 2018. ISSN 0169-2070. doi: https://doi.org/10.1016/j.ijforecast.2017.08.002. URL https://www.sciencedirect. com/science/article/pii/S0169207017300754.
A.F. Silva, D. Conte, and F.M. Clemente. Decision-making in youth team-sports players: A systematic review. International Journal of Environmental Research and Public Health, 17 (11), 2020.
V. Unnithan, J. White, A. Georgiou, J. Iga, and B. Drust. Talent identification in youth soccer. Journal of Sports Sciences, 30(15):1719–1726, 2012.
L. Verburgh, E.J.A. Scherder, P.A.M. Van Lange, and J. Oosterlaan. Executive functioning in highly talented soccer players. PLoS ONE, 9(3), 2014.
T. Vestberg, R. Gustafson, L. Maurex, M. Ingvar, and P. Petrovic. Executive functions predict the success of top-soccer players. PLoS ONE, 7(4), 2012.
F Wilcoxon. Individual comparisons by ranking methods. biom. bull., 1, 80–83. 1945
Publicado
23/11/2021
Como Citar
MELLO, Matheus; BELLONI, Vitor; VASCONCELLOS, Fabricio; SOARES, Jorge; OGASAWARA, Eduardo; GIUSTI, Lucas.
Funções Executivas e Idade Relativa como Preditores de Sucesso no Futebol. In: ESCOLA REGIONAL DE INFORMÁTICA DO RIO DE JANEIRO (ERI-RJ), 4. , 2021, Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 111-118.
DOI: https://doi.org/10.5753/eri-rj.2021.18782.
