Article Data

  • Views 907
  • Dowloads 180

Original Research

Open Access Special Issue

Relationship between training load and match running performance in men's soccer

  • Rui Silva1
  • Miguel Camões1,2
  • António Barbosa1
  • Georgian Badicu3
  • Hadi Nobari4,5,6
  • André Bernardo1
  • Sílvio Afonso Carvalho7
  • Tiago Sant’Ana1
  • Ricardo Lima1,2
  • Pedro Bezerra1
  • Filipe Manuel Clemente1,8

1Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal

2The research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), 5001-801 Vila Real, Portugal

3Department of Physical Education and Special Motricity, University Transilvania of Brasov, 500068 Brasov, Romania

4Department of Physical Education and Sports, University of Granada, 18009 Granada, Spain

5Department of Exercise Physiology, Faculty of Sport Sciences, University of Isfahan, 81746-7344 Isfahan, Iran

6HEME Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain

7Associação de Futebol de Bragança, 5300-861 Bragança, Portugal

8Instituto de Telecomunicações, Delegação da Covilhã, 1049-001 Lisboa, Portugal

DOI: 10.31083/jomh.2021.082 Vol.17,Issue 4,September 2021 pp.92-98

Submitted: 25 April 2021 Accepted: 11 June 2021

Published: 30 September 2021

*Corresponding Author(s): Georgian Badicu E-mail: georgian.badicu@unitbv.ro

PDF (351 kB)

Abstract

Objectives: The main aim of this study was to test the relationship of volume and weekly training intensities with match-running demands of professional male soccer players.

Methods: The training volume and intensity load and match demands of 18 professional soccer players (age: 20.7 ± 1.8 years) were monitored daily for 15 weeks.

Results: Match high-speed running (mHSR) and match accelerations (mACC) were found to be moderately positively correlated with weekly HSR (wtHSR) and weekly ACC volume (wtACC) (r = 0.497; p < 0.01; r = 0.367; p < 0.01), respectively. Moderate positive correlations were also found between mHSR, mACC and mHSR and mean training intensity of ACC (mtACC) (r = 0.366; p < 0.01).

Conclusions: Weekly HSR and ACC training volume and intensity have moderate associations with match HSR and ACC loads. Coaches should prioritize weekly HSR and ACC during the training process, for ensuring that players perform more HSR and ACC actions during the subsequent match.

Keywords

Football; Athletic performance; Performance analysis; Sports training

Cite and Share

Rui Silva,Miguel Camões,António Barbosa,Georgian Badicu,Hadi Nobari,André Bernardo,Sílvio Afonso Carvalho,Tiago Sant’Ana,Ricardo Lima,Pedro Bezerra,Filipe Manuel Clemente. Relationship between training load and match running performance in men's soccer. Journal of Men's Health. 2021. 17(4);92-98.

References

[1] Miguel M, Oliveira R, Loureiro N, García-Rubio J, Ibáñez SJ. Load measures in training/match monitoring in soccer: A systematic review. International Journal of Environmental Research and Public Health. 2021; 18: 1–26.

[2] Taylor JB, Wright AA, Dischiavi SL, Townsend MA, Marmon AR. Activity Demands during Multi-Directional Team Sports: a Systematic Review. Sports Medicine. 2017; 47: 2533–2551.

[3] Clemente FM, Couceiro MS, Martins FML, Ivanova MO, Mendes R. Activity profiles of soccer players during the 2010 world cup. Journal of Human Kinetics. 2013; 38: 201–211.

[4] Kelly DM, Strudwick AJ, Atkinson G, Drust B, Gregson W. Quan-tification of training and match-load distribution across a season in elite English Premier League soccer players. Science and Medicine in Football. 2020; 4: 59–67.

[5] Tierney PJ, Young A, Clarke ND, Duncan MJ. Match play demands of 11 versus 11 professional football using Global Positioning System tracking: Variations across common playing formations. Human Movement Science. 2016; 49: 1–8.

[6] Malone JJ, Di Michele R, Morgans R, Burgess D, Morton JP, Drust B. Seasonal training-load quantification in elite English premier league soccer players. International Journal of Sports Physiology and Performance. 2015; 10: 489–497.

[7] Stevens TGA, de Ruiter CJ, Twisk JWR, Savelsbergh GJP, Beek PJ. Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players. Science and Medicine in Football. 2017; 1: 117–125.

[8] Anderson L, Orme P, Di Michele R, Close GL, Morgans R, Drust B, et al. Quantification of training load during one-, two- and three-game week schedules in professional soccer players from the English Premier League: implications for carbohydrate periodisation. Journal of Sports Sciences. 2016; 34: 1250–1259.

[9] Gabbett TJ, Nassis GP, Oetter E, Pretorius J, Johnston N, Medina D, et al. The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data. British Journal of Sports Medicine. 2017; 51: 1451–1452.

[10] Haddad M, Stylianides G, Djaoui L, Dellal A, Chamari K. Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors. Frontiers in Neuroscience. 2017; 11: 612.

[11] Foster C. Monitoring training in athletes with reference to overtrain-ing syndrome. Medicine and Science in Sports and Exercise. 1998; 30: 1164–1168.

[12] Heath EM. Borg’s Perceived Exertion and Pain Scales. Medicine& Science in Sports & Exercise. 1998; 30: 1461.

[13] Gabbett TJ. The training-injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine. 2016; 50: 273–280.

[14] Foster C, Rodriguez-Marroyo JA, de Koning JJ. Monitoring Training Loads: the Past, the Present, and the Future. International Journal of Sports Physiology and Performance. 2017; 12: S22–S28.

[15] Kasper K. Sports Training Principles. Current Sports Medicine Reports. 2019; 18: 95–96.

[16] McLaren SJ, Macpherson TW, Coutts AJ, Hurst C, Spears IR, Weston M. The Relationships between Internal and External Measures of Training Load and Intensity in Team Sports: a Meta-Analysis. Sports Medicine. 2018; 48: 641–658.

[17] Vanrenterghem J, Nedergaard NJ, Robinson MA, Drust B. Training Load Monitoring in Team Sports: a Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways. Sports Medicine. 2017; 47: 2135–2142.

[18] Buchheit M. Monitoring accelerations with GPS in football : time to slow Address for correspondence. International Journal of Sports Physiology and Performance. 2013; 442–445.

[19] Jaspers A, Kuyvenhoven JP, Staes F, Frencken WGP, Helsen WF, Brink MS. Examination of the external and internal load indicators’ association with overuse injuries in professional soccer players. Journal of Science and Medicine in Sport. 2018; 21: 579–585.

[20] Akenhead R, Nassis GP. Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. International Journal of Sports Physiology and Performance. 2016; 11: 587–593.

[21] Cummins C, Orr R, O’Connor H, West C. Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Medicine. 2013; 43: 1025–1042.

[22] Clemente FM, Silva R, Castillo D, Arcos AL, Mendes B. Weekly Load Variations of Distance-Based Variables in Professional Soccer Players : A Full-Season Study. International Journal of Environmental Research and Public Health. 2020; 17: 3300.

[23] Clemente F, Silva R, Ramirez-Campillo R, Afonso J, Mendes B, Chen Y. Accelerometry-based variables in professional soccer players: Comparisons between periods of the season and playing positions. Biology of Sport. 2020; 37: 389–403.

[24] Clemente FM, Rabbani A, Conte D, Castillo D, Afonso J, Truman Clark CC, et al. Training/Match External Load Ratios in Professional Soccer Players: A Full-Season Study. International Journal of Environ-mental Research and Public Health. 2019; 16: 3057.

[25] Akenhead R, Harley JA, Tweddle SP. Examining the External Training Load of an English Premier League Football Team with Special Reference to Acceleration. Journal of Strength and Conditioning Research. 2016; 30: 2424–2432.

[26] Guerrero-Calderón B, Klemp M, Morcillo JA, Memmert D. How does the workload applied during the training week and the contextual factors affect the physical responses of professional soccer players in the match? International Journal of Sports Science & Coaching. 2021; 0: 1–10.

[27] Guerrero-Calderón B, Klemp M, Castillo-Rodriguez A, Morcillo JA, Memmert D. A New Approach for Training-load Quantification in Elite-level Soccer: Contextual Factors. International Journal of Sports Medicine. 2020.

[28] Ingebrigtsen J, Dalen T, Hjelde GH, Drust B, Wisløff U. Acceleration and sprint profiles of a professional elite football team in match play. European Journal of Sport Science. 2015; 15: 101–110.

[29] Foster C, Florhaug JA, Franklin J, Gottschall L, Hrovatin LA, Parker S, et al. A new approach to monitoring exercise training. Journal of Strength and Conditioning Research. 2001; 15: 109–115.

[30] Foster C. Monitoring training in athletes with reference to overtrain-ing syndrome. Medicine and Science in Sports and Exercise. 1998; 30: 1164–1168.

[31] Beato M, Coratella G, Stiff A, Iacono AD. The Validity and between-Unit Variability of GNSS Units (STATSports Apex 10 and 18 Hz) for Measuring Distance and Peak Speed in Team Sports. Frontiers in Physiology. 2018; 9: 1288.

[32] Beato M, Devereux G, Stiff A. Validity and Reliability of Global Positioning System Units (STATSports Viper) for Measuring Distance and Peak Speed in Sports. Journal of Strength and Conditioning Research. 2018; 32: 2831–2837.

[33] Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. International Journal of Sports Physiology and Perfor-mance. 2006; 1: 50–57.

[34] Clemente FM, Owen A, Serra-Olivares J, Nikolaidis PT, van der Linden CMI, Mendes B. Characterization of the Weekly External Load Profile of Professional Soccer Teams from Portugal and the Netherlands. Journal of Human Kinetics. 2019; 66: 155–164.

[35] Springham M, Williams S, Waldron M, Strudwick AJ, Mclellan C, Newton RU. Prior workload has moderate effects on high-intensity match performance in elite-level professional football players when controlling for situational and contextual variables. Journal of Sports Sciences. 2020; 38: 2279–2290.

[36] Paul DJ, Bradley PS, Nassis GP. Factors affecting match running performance of elite soccer players: shedding some light on the com-plexity. International Journal of Sports Physiology and Performance. 2015; 10: 516–519.

[37] Oliva-Lozano JM, Rojas-Valverde D, Gómez-Carmona CD, Fortes V, Pino-Ortega J. Worst case scenario match analysis and contextual variables in professional soccer players: a longitudinal study. Biology of Sport. 2020; 37: 429–436.

[38] Duhig S, Shield AJ, Opar D, Gabbett TJ, Ferguson C, Williams M. Effect of high-speed running on hamstring strain injury risk. British Journal of Sports Medicine. 2016; 50: 1536–1540.

[39] Malone S, Hughes B, Doran DA, Collins K, Gabbett TJ. Can the workload-injury relationship be moderated by improved strength, speed and repeated-sprint qualities? Journal of Science and Medicine in Sport. 2019; 22: 29–34.

[40] Malone S, Owen A, Mendes B, Hughes B, Collins K, Gabbett TJ. High-speed running and sprinting as an injury risk factor in soccer: can well-developed physical qualities reduce the risk? Journal of Science and Medicine in Sport. 2018; 21: 257–262.

Abstracted / indexed in

Science Citation Index Expanded Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Social Sciences Citation Index Social Sciences Citation Index contains over 3,400 journals across 58 social sciences disciplines, as well as selected items from 3,500 of the world’s leading scientific and technical journals. More than 9.37 million records and 122 million cited references date back from 1900 to present.

Current Contents - Social & Behavioral Sciences Current Contents - Social & Behavioral Sciences provides easy access to complete tables of contents, abstracts, bibliographic information and all other significant items in recently published issues from over 1,000 leading journals in the social and behavioral sciences.

Current Contents - Clinical Medicine Current Contents - Clinical Medicine provides easy access to complete tables of contents, abstracts, bibliographic information and all other significant items in recently published issues from over 1,000 leading journals in clinical medicine.

SCOPUS Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

DOAJ DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals.

CrossRef Crossref makes research outputs easy to find, cite, link, assess, and reuse. Crossref committed to open scholarly infrastructure and collaboration, this is now announcing a very deliberate path.

Portico Portico is a community-supported preservation archive that safeguards access to e-journals, e-books, and digital collections. Our unique, trusted process ensures that the content we preserve will remain accessible and usable for researchers, scholars, and students in the future.

Submission Turnaround Time

Conferences

    Top