A Principal Component Analysis in futsal according to game halvesA case study of an amateur futsal cup final

  1. Rico-González, Markel 1
  2. Los Arcos, Asier 2
  3. Rojas-Valverde, Daniel 3
  4. Pino-Ortega, José 4
  1. 1 Department of Physical Education and Sport, University of the Basque Country, UPV/EHU. Lasarte 71, 01007 Vitoria-Gasteiz, Spain.
  2. 2 Department of Physical Education and Sport, University of the Basque Country, UPV/EHU, Vitoria-Gasteiz
  3. 3 Centro de Investigación y Diagnóstico en Salud y Deporte (CIDISAD), Escuela de Ciencias del Movimiento Humano y Calidad de Vida, Universidad Nacional, Heredia
  4. 4 Department of Physical Activity and Sport, Faculty of Sport Science, University of Murcia
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Revista:
RICYDE. Revista Internacional de Ciencias del Deporte

ISSN: 1885-3137

Año de publicación: 2021

Título del ejemplar: Enero

Volumen: 17

Número: 63

Páginas: 88-101

Tipo: Artículo

DOI: 10.5232/RICYDE2021.06307 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: RICYDE. Revista Internacional de Ciencias del Deporte

Resumen

Principal Component Analysis (PCA) has not been used to assess the principal component (PC) of players´ external training loads (TL) in futsal. In addition, no previous study has analyzed the PC of players´ external TL depending on the half of the match in futsal. Thus, this study aimed to assess the PC of players´ external TL considering an entire official futsal match distinguishing by halves (1st and 2nd halves). Two teams of twelve amateur futsal players (Spanish 3rd division) participated in the final match of the futsal cup and external TL was quantified using eight antennas ultra-wideband technology. Through PCA statistical analysis, 10 variables formed the 10 PC. Specifically, three PC for the entire match, four for the 1st half, and three for the 2nd half were extracted. Considering the match as a whole, three PC explained the players´ external TL formed by eight variables: distance covered (m/min), distance covered at high speed running (m/min), distance covered at explosive speed (m/min), total accelerations (n/min), total decelerations between 2-1 m/s/s (n/min), distance covered at 24-50 km/h (m/min), total impacts between 8-100g (n/min) and Jumps performed (n/min). The PC variables differed between halves: a) in the 1st half 74.5% was explained by four PC composed of 8 variables in total, and b) in the 2nd half 67.6% was explained by three PC. The results suggest that the use of only one PC could potentially lead to an underestimation of the external TL demands in futsal matches. It seems that a combination of 3-4 PC from a total of 8 to 10 variables are required to explain senior amateur futsal official games. In addition, the match half should be considered to assess the external TL in team sports.

Referencias bibliográficas

  • Agras, H.; Ferragut, C., & Abraldes, J. A. (2016). Match analysis in futsal: A systematic review. International Journal of Performance Analysis in Sport, 16(2), 652-686. https://doi.org/10.1080/24748668.2016.11868915
  • Akenhead, R.; Harley, J. A., & Tweddle, S. P. (2016). Examining the External Training Load of an English Premier League Football Team With Special Reference to Acceleration. Journal of Strength and Conditioning Research, 30(9), 2424-2432. https://doi.org/10.1519/JSC.0000000000001343
  • Barbero-Álvarez, J. C.; Dʼottavio, S.; Vera, J. G., & Castagna, C. (2009). Aerobic Fitness in Futsal Players of Different Competitive Level. Journal of Strength and Conditioning Research, 23(7), 2163-2166. https://doi.org/10.1519/JSC.0b013e3181b7f8ad
  • Barbero-Álvarez, J. C.; Soto, V. M.; Barbero-Alvarez, V., & Granda-Vera, J. (2008). Match analysis and heart rate of futsal players during competition. Journal of Sports Sciences, 26(1), 63-73. https://doi.org/10.1080/02640410701287289
  • Bartlett, M. S. (1954). A Note on the Multiplying Factors for Various χ2 Approximations. Journal of the Royal Statistical Society. Series B (Methodological), 16(2), 296-298. JSTOR.
  • Bastida-Castillo, A.; Gómez-Carmona, C. D.; De la Cruz Sánchez, E., & Pino Ortega, J. (2018). Accuracy, intraand inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time–motion analyses in soccer. European Journal of Sport Science, 18(4), 450-457. https://doi.org/10.1080/17461391.2018.1427796
  • Bastida-Castillo, A.; Gómez-Carmona, C. D.; De La Cruz Sánchez, E., & Pino-Ortega, J. (2019). Comparing accuracy between global positioning systems and ultra-widebandbased position tracking systems used for tactical analyses in soccer. European Journal of Sport Science, 19(9), 1157-1165. https://doi.org/10.1080/17461391.2019.1584248
  • Bastida-Castillo, A.; Gómez-Carmona, C.; De la Cruz-Sánchez, E.; Reche-Royo, X.; Ibáñez, S., & Pino Ortega, J. (2019). Accuracy and Inter-Unit Reliability of Ultra-WideBand Tracking System in Indoor Exercise. Applied Sciences, 9(5), 939. https://doi.org/10.3390/app9050939
  • Bowen, L.; Gross, A. S.; Gimpel, M., & Li, F.-X. (2017). Accumulated workloads and the acute:chronic workload ratio relate to injury risk in elite youth football players. British Journal of Sports Medicine, 51(5), 452-459. https://doi.org/10.1136/bjsports-2015-095820
  • Buchheit, M. (2014). Monitoring training status with HR measures: Do all roads lead to Rome? Frontiers in Physiology, 5. https://doi.org/10.3389/fphys.2014.00073
  • Casamichana, D.; Castellano, J.; Gómez Díaz, A., & Martín-García, A. (2019). Looking for Complementary Intensity Variables in Different Training Games in Football. Journal of Strength and Conditioning Research. https://doi.org/10.1519/JSC.0000000000003025.
  • Clemente, F. M.; Martinho, R.; Calvete, F., & Mendes, B. (2019). Training load and wellbeing status variations of elite futsal players across a full season: Comparisons between normal and congested weeks. Physiology & Behavior, 201, 123-129. https://doi.org/10.1016/j.physbeh.2019.01.001
  • Coutinho, D.; Gonçalves, B.; Figueira, B.; Abade, E.; Marcelino, R., & Sampaio, J. (2015). Typical weekly workload of under 15, under 17, and under 19 elite Portuguese football players. Journal of Sports Sciences, 33(12), 1229-1237. https://doi.org/10.1080/02640414.2015.1022575
  • De Oliveira Bueno, M. J.; Caetano, F. G.; Pereira, T. J. C.; De Souza, N. M.; Moreira, G. D.; Nakamura, F. Y.; Cunha, S. A., & Moura, F. A. (2014). Analysis of the distance covered by Brazilian professional futsal players during official matches. Sports Biomechanics, 13(3), 230-240. https://doi.org/10.1080/14763141.2014.958872
  • Dogramaci, S. N.; Watsford, M. L., & Murphy, A. J. (2011). Time-Motion Analysis of International and National Level Futsal. Journal of Strength & Conditioning Research, 25(3), 646–651. https://doi.org/10.1519/JSC.0b013e3181c6a02e
  • Federolf, P.; Reid, R.; Gilgien, M.; Haugen, P., & Smith, G. (2014). The application of principal component analysis to quantify technique in sports: PCA quantification of technique. Scandinavian Journal of Medicine & Science in Sports, 24(3), 491-499. https://doi.org/10.1111/j.1600-0838.2012.01455.x
  • Fessi, M. S.; Zarrouk, N.; Di Salvo, V.; Filetti, C.; Barker, A. R., & Moalla, W. (2016). Effects of tapering on physical match activities in professional soccer players. Journal of Sports Sciences, 34(24), 2189-2194. https://doi.org/10.1080/02640414.2016.1171891
  • Groth, D.; Hartmann, S.; Klie, S., & Selbig, J. (2013). Principal Components Analysis. En B. Reisfeld & A. N. Mayeno (Eds.), Computational Toxicology (Vol. 930, pp. 527-547). Humana Press. https://doi.org/10.1007/978-1-62703-059-5_22
  • Halouani, J.; Chtourou, H.; Gabbett, T.; Chaouachi, A., & Chamari, K. (2014). SmallSided Games in Team Sports Training: A Brief Review. Journal of Strength and Conditioning Research, 28(12), 3594-3618.
  • Jaspers, A.; Brink, M. S.; Probst, S. G. M.; Frencken, W. G. P., & Helsen, W. F. (2017). Relationships Between Training Load Indicators and Training Outcomes in Professional Soccer. Sports Medicine (Auckland, N.Z.), 47(3), 533-544. https://doi.org/10.1007/s40279-016-0591-0
  • Jeong, T.-S.; Reilly, T.; Morton, J.; Bae, S.-W., & Drust, B. (2011). Quantification of the physiological loading of one week of «pre-season» and one week of «in-season» training in professional soccer players. Journal of Sports Sciences, 29(11), 1161-1166. https://doi.org/10.1080/02640414.2011.583671
  • Kaiser, H. F. (1960). The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141-151. https://doi.org/10.1177/001316446002000116
  • Malone, J. J.; Di Michele, R.; Morgans, R.; Burgess, D.; Morton, J. P., & Drust, B. (2015). Seasonal training-load quantification in elite English premier league soccer players. International Journal of Sports Physiology and Performance, 10(4), 489-497. https://doi.org/10.1123/ijspp.2014-0352
  • Malone, J. J.; Lovell, R.; Varley, M. C., & Coutts, A. J. (2017). Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport. International Journal of Sports Physiology and Performance, 12(Suppl 2), 18-26. https://doi.org/10.1123/ijspp.2016-0236
  • Matzenbacher, F.; Pasquarelli, B. N.; Rabelo, F. N., & Stanganelli, L. C. R. (2014). Demanda fisiológica no futsal competitivo: Características físicas e fisiológicas de atletas profissionais. Revista Andaluza de Medicina del Deporte, 7(3), 122-131.
  • McGuinness, A.; Malone, S.; Petrakos, G., & Collins, K. (2019). Physical and Physiological Demands of Elite International Female Field Hockey Players During Competitive Match Play. Journal of Strength and Conditioning Research, 33(11), 3105-3113.
  • Méndez-Domínguez, C.; Gómez-Ruano, M. A.; Rúiz-Pérez, L. M., & Travassos, B. (2019). Goals scored and received in 5vs4 GK game strategy are constrained by critical moment and situational variables in elite futsal. Journal of Sports Sciences, 37(21), 2443-2451. https://doi.org/10.1080/02640414.2019.1640567
  • Milioni, F.; Vieira, L. H. P.; Barbieri, R. A.; Zagatto, A. M.; Nordsborg, N. B.; Barbieri, F. A.; dos-Santos, J.; Santiago, P. R. P., & Papoti, M. (2016). Futsal Match-Related Fatigue Affects Running Performance and Neuromuscular Parameters but Not Finishing Kick Speed or Accuracy. Frontiers in Physiology, 7, 518. https://doi.org/10.3389/fphys.2016.00518
  • Miloski, B.; de Freitas, V. H.; Nakamura, F. Y.; Nogueira, F. C. de A., & Bara-Filho, M. G. (2016). Seasonal Training Load Distribution of Professional Futsal Players: Effects on Physical Fitness, Muscle Damage and Hormonal Status. Journal of Strength and Conditioning Research, 30(6), 1525-1533.
  • Morencos, E.; Casamichana, D.; Torres, L.; Haro, X., & Rodas, G. (2019). Kinematic Demands of International Competition in Women’s Field Hockey. Apunts Educación Física y Deportes, 137, 56-70. https://doi.org/10.5672/apunts.2014-0983.es.(2019/3).137.05
  • Nakamura, F. Y.; Antunes, P.; Nunes, C.; Costa, J. A.; Esco, M. R., & Travassos, B. (2018). Heart Rate Variability Changes From Traditional vs. Ultra–Short-Term Recordings in Relation to Preseason Training Load and Performance in Futsal Players. Journal of Strength and Conditioning Research, 1.
  • Oliva-Lozano, J. M.; Rojas-Valverde, D.; Gómez-Carmona, C. D.; Fortes, V., & PinoOrtega, J. (2020). Impact Of Contextual Variables On The Representative External Load Profile Of Spanish Professional Soccer Match-Play: A Full Season Study. European Journal of Sport Science, 1-22. https://doi.org/10.1080/17461391.2020.1751305
  • Oliveira Bueno, M. J. D.; Caetano, F. G.; Costa Pereira, T. J.; De Souza, N. M.; Moreira, G. D.; Nakamura, F. Y.; Cunha, S. A., & Moura, F. A. (2014). Analysis of the distance covered by Brazilian professional futsal players during official matches. Sports Biomechanics, 13(3), 230-240. https://doi.org/10.1080/14763141.2014.958872
  • Owen, A. L.; Forsyth, J. J.; Wong, D. P.; Dellal, A.; Connelly, S. P., & Chamari, K. (2015). Heart rate-based training intensity and its impact on injury incidence among elite-level professional soccer players. Journal of Strength and Conditioning Research / National Strength & Conditioning Association, 29(6), 1705-1712.
  • Palucci Vieira, L. H.; Carling, C.; Barbieri, F. A.; Aquino, R., & Santiago, P. R. P. (2019). Match Running Performance in Young Soccer Players: A Systematic Review. Sports Medicine, 49(2), 289-318. https://doi.org/10.1007/s40279-018-01048-8
  • Parlebas. (2002). Elementary mathematic modelization of games and sports. Bridging the gap between empirical sciences and theoretical research in the social sciences. In The Explanatory Power of Models (pp. 197-228). Kluwer Academic.
  • Pino-Ortega, J.; Bastida-Castillo, A.; Gómez Carmona, C., & Rico-González, M. (2020). Validity and reliability of an eight antennae ultra-wideband local positioning system to measure performance in an indoor environment. Sports Biomechanics. Epub: Ahead of Print.
  • Pino-Ortega, J.; Gómez-Carmona, C. D.; Nakamura, F. Y., & Rojas-Valverde, D. (2020). Setting Kinematic Parameters That Explain Youth Basketball Behavior: Influence of Relative Age Effect According to Playing Position. Journal of Strength & Conditioning Research.
  • Pino-Ortega, J.; Rojas-Valverde, D.; Gómez-Carmona, C. D.; Bastida-Castillo, A.; Hernández-Belmonte, A.; García-Rubio, J.; Nakamura, F. Y., & Ibáñez, S. J. (2019). Impact of Contextual Factors on External Load During a Congested-Fixture Tournament in Elite U’18 Basketball Players. Frontiers in Psychology, 10, 1100. https://doi.org/10.3389/fpsyg.2019.01100
  • Rico-González, M.; Mendez-Villanueva, A., & Los Arcos, A. (2020). Training load periodization in soccer with one official match a week: A systematic review. In An Essential Guide to Sports Performance (pp. 123-166). NOVA Science publisher.
  • Rico-González, M.; Los Arcos, A.; Rojas-Valverde, D.; Clemente, F. M., & Pino-Ortega, J. (2020). A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports. Sensors, 16.
  • Rico-González, M.; Pino-Ortega, J.; Clemente, F. M., & Los Arcos, A. (2020). A systematic review of collective tactical behaviour in futsal using positional data. Biology of Sport, 14.
  • Romero-Moraleda, B.; Morencos-Martínez, E.; Torres-Ronda, L., & Casamichana, D. (2020). Analysis of congested schedule on competition external load in field hockey. RICYDE. Revista Internacional de Ciencias Del Deporte, 16(60), 143-152. https://doi.org/10.5232/ricyde2020.06003
  • Schmidt, R. C.; O´ Brien, B., & Sysko, R. (1999). Self-organization of between person cooperative tasks and possible applications to sport. Int. J. Sport Psychol, 30, 558- 579.
  • Svilar, L.; Castellano, J., & Jukic, I. (2018). Load monitoring system in top-level basketball team: Relationship between external and internal training load. Kinesiology, 50(1), 25-33. https://doi.org/10.26582/k.50.1.4
  • Tabachnick, B., & Fidell, L. (2007). Using Multivariate Statistics (6th ed.). Pearson Education.
  • Weaving, D.; Marshall, P.; Earle, K.; Nevill, A., & Abt, G. (2014). Combining Internaland External-Training-Load Measures in Professional Rugby League. International Journal of Sports Physiology and Performance, 9(6), 905-912. https://doi.org/10.1123/ijspp.2013-0444
  • Wilke, C. F.; Wanner, S. P.; Santos, W. H. M.; Penna, E. M.; Ramos, G. P.; Nakamura, F. Y., & Duffield, R. (2020). Influence of Faster and Slower Recovery-Profile Classifications, Self-Reported Sleep, Acute Training Load, and Phase of the Microcycle on Perceived Recovery in Futsal Players. Int J Sports Physiol Perform, 1(1), 1-6.
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