Biology of Sport
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Biology of Sport
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Original paper

The relationship between the 1200 m shuttle test and 40 m sprint test performance and distances covered in English Premier League matches: A retrospective two season study

Ronan Kavanagh
1, 2
,
Matteo Matteotti
1
,
Rafael Oliveira
3, 4
,
Kevin McDaid
5
,
Jill Alexander
2
,
Damian Harper
2
,
Piotr Zmijewski
6, 7
,
David Rhodes
2, 8
,
Ryland Morgans
9

  1. Performance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy
  2. Football Performance Hub, Institute of Coaching and Performance, University of Central Lancashire, Preston, UK
  3. Research Center in Sport Sciences, Health Sciences and Human Development (CIDESD), Santarém Polytechnic University, Av. Dr. Mário Soares, 2040-413 Rio Maior, Portugal
  4. Santarém Polytechnic University, School of Sport, Av. Dr. Mário Soares, 2040-413 Rio Maior, Portugal
  5. Applied Data Analytics Research Group, Dundalk Institute of Technology, Louth, Ireland
  6. Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland
  7. Research and Development Center Legia Lab, Legia Warszawa, Poland
  8. Human Performance Department, Burnley FC, Burnley, UK
  9. School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK
Biol Sport. 2025;42(2):105–111
Online publish date: 2024/09/25
Article file
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1. Di Salvo V, Baron R, Tschan H, Montero FC, Bachl N, Pigozzi F. Performance characteristics according to playing position in elite soccer. Int J Sports Med. 2006:222–7.
2. Bradley PS, Ade JD. Are current physical match performance metrics in elite soccer fit for purpose or is the adoption of an integrated approach needed? Int J Sports Physiol Perform. 2018; 13(5):656–64.
3. Vigne G, Gaudino C, Rogowski I, Alloatti G, Hautier C. Activity profile in elite Italian soccer team. Int J Sports Med. 2010:304–10.
4. Rico-González M, Oliveira R, Vieira LHP, Pino-Ortega J, Clemente F. Players’ performance during worst-case scenarios in professional soccer matches: a systematic review. Biol Sport. 2022; 39(3):695–713.
5. Akenhead R, Hayes PR, Thompson KG, French D. Diminutions of acceleration and deceleration output during professional football match play. J Sci Med Sport. 2013; 16(6):556–61. Epub 20130116. doi: 10.1016/j.jsams .2012.12.005. PubMed PMID: 23333009.
6. 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? J Sci Med Sport. 2018; 21(3):257–62.
7. Colby MJ, Dawson B, Peeling P, Heasman J, Rogalski B, Drew MK, et al. Improvement of Prediction of Noncontact Injury in Elite Australian Footballers With Repeated Exposure to Established High-Risk Workload Scenarios. Int J Sports Physiol Perform. 2018; 13(9):1130–5. Epub 20181019. doi: 10.1123/ijspp.2017-0696. PubMed PMID: 29543079.
8. Iaia FM, Ermanno R, Bangsbo J. High-intensity training in football. Int J Sports Physiol Perform. 2009; 4(3):291–306.
9. Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccer players with special reference to development of fatigue. J Sports Sci. 2003; 21(7):519–28.
10. Hunter F, Bray J, Towlson C, Smith M, Barrett S, Madden J, et al. Individualisation of time-motion analysis: a method comparison and case report series. Int J Sports Med. 2015; 36(1):41–8. Epub 20140926. doi: 10.1055/s-0034-1384547. PubMed PMID: 25259591.
11. Oliva-Lozano JM, Gómez-Carmona CD, Pino-Ortega J, Moreno-Pérez V, Rodríguez-Pérez MA. Match and training high intensity activity-demands profile during a competitive mesocycle in youth elite soccer players. J Hum Kinet. 2020; 75(1):195–205.
12. Zago M, Sforza C, Dolci C, Tarabini M, Galli M. Use of machine learning and wearable sensors to predict energetics and kinematics of cutting maneuvers. Sensors. 2019; 19(14):3094.
13. Kavanagh R, Carling C, Malone S, Di Michele R, Morgans R, Rhodes D. ‘Bridging the gap’: Differences in training and match physical load in 1st team and U23 players from the English Premier League. Int J Sports Sci Coach. 2023.
14. Fitzpatrick JF, Hicks KM, Hayes PR. Dose-Response Relationship Between Training Load and Changes in Aerobic Fitness in Professional Youth Soccer Players. Int J Sports Physiol Perform. 2018:1–6. Epub 20181119. doi: 10.1123/ijspp.2017-0843. PubMed PMID: 29745785.
15. Swaby R, Jones PA, Comfort P. Relationship Between Maximum Aerobic Speed Performance and Distance Covered in Rugby Union Games. J Strength Cond Res. 2016; 30(10):2788–93. doi: 10.1519 /JSC.0000000000001375. PubMed PMID: 26890968.
16. Rampinini E, Bishop D, Marcora SM, Ferrari Bravo D, Sassi R, Impellizzeri FM. Validity of simple field tests as indicators of match-related physical performance in top-level professional soccer players. Int J Sports Med. 2007; 28(3):228–35. Epub 20061006. doi: 10.1055/s-2006-924340. PubMed PMID: 17024621.
17. Kelly V, Wood A. The correlation between the 30–15 intermittent fitness test and a novel test of running performance. J Aust Strength Cond. 2013; 21(S1):91–4.
18. Baker D, Heaney N. Review of the literature normative data for maximal aerobic speed for field sport athletes: a brief review. J Aust Strength Cond. 2015; 23(7):60–7.
19. Deuchrass R, Smith HK, Elliot C, Lizamore C, Hamlin MJ. The 1.2 km shuttle run test: Reliability and comparison with the Yo-Yo intermittent recovery level 1 test in young elite rugby union players. J Aust Strength Cond. 2019; 27(4):14–20.
20. Mendez-Villanueva A, Buchheit M, Simpson B, Bourdon PC. Match play intensity distribution in youth soccer. Int J Sports Med. 2013; 34(2):101–10. Epub 20120907. doi: 10.1055/s-0032-1306323. PubMed PMID: 22960988.
21. Mendez-Villanueva A, Buchheit M, Simpson B, Bourdon P. Match play intensity distribution in youth soccer. Int J Sports Med. 2013; 34(02):101–10.
22. Collison J, Debenedictis T, Fuller JT, Gerschwitz R, Ling T, Gotch L, et al. Supramaximal Interval Running Prescription in Australian Rules Football Players: A Comparison Between Maximal Aerobic Speed, Anaerobic Speed Reserve, and the 30–15 Intermittent Fitness Test. J Strength Cond Res. 2022.
23. Sandford GN, Allen SV, Kilding AE, Ross A, Laursen PB. Anaerobic Speed Reserve: A Key Component of Elite Male 800-m Running. Int J Sports Physiol Perform. 2019; 14(4):501–8. Epub 20190304. doi: 10.1123/ijspp.2018-0163. PubMed PMID: 30300023.
24. Ortiz JG, De Lucas RD, Teixeira AS, Mohr PA, Guglielmo LGA. Match-Play Running Performance in Professional Male Soccer Players: The Role of Anaerobic Speed Reserve. Res Q Exerc Sport. 2024:1–8.
25. Sandford GN, Laursen PB, Buchheit M. Anaerobic speed/power reserve and sport performance: scientific basis, current applications and future directions. Sports Med. 2021; 51(10):2017–28.
26. Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci. 2012; 30(7):625–31.
27. Bortnik L, Bruce-Low S, Burger J, Alexander J, Harper D, Morgans R, et al. Physical match demands across different playing positions during transitional play and high-pressure activities in elite soccer. Biol Sport. 2023; 41(2):73–82.
28. Morgans R, Rhodes D, Teixeira J, Modric T, Versic S, Oliveira R. Quantification of training load across two competitive seasons in elite senior and youth male soccer players from an English Premiership club. Biol Sport. 2023; 40(4):1197–205.
29. Aalbers B, Van Haaren J, editors. Distinguishing between roles of football players in play-by-play match event data. Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings 5; 2019: Springer.
30. Trewin J, Meylan C, Varley MC, Cronin J. The influence of situational and environmental factors on match-running in soccer: a systematic review. Sci Med Footb. 2017; 1(2):183–94.
31. Maddison R, Ni Mhurchu C. Global positioning system: a new opportunity in physical activity measurement. Int J Behav Nutr Phys Act. 2009; 6(1):1–8.
32. 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. Front Physiol. 2018; 9:1288. Epub 20180921. doi: 10.3389/fphys.2018.01288. PubMed PMID: 30298015; PubMed Central PMCID: PMC6161633.
33. Beato M, de Keijzer K. The inter-unit and inter-model reliability of GNSS STATSports Apex and Viper units in measuring peak speed over 5, 10, 15, 20 and 30 meters. Biol Sport. 2019; 36(4):317–21.
34. Malone JJ, Lovell R, Varley MC, Coutts AJ. Unpacking the black box: applications and considerations for using GPS devices in sport. Int J Sports Physiol Perform. 2017; 12(s2):S2-18-S2-26.
35. Thornton HR, Nelson AR, Delaney JA, Serpiello FR, Duthie GM. Interunit reliability and effect of data-processing methods of global positioning systems. Int J Sports Physiol Perform. 2019; 14(4):432–8.
36. Taberner M, O’Keefe J, Flower D, Phillips J, Close G, Cohen DD, et al. Interchange ability of position tracking technologies; can we merge the data? Sci Med Footb. 2019; 4(1):76–81. doi: 10.1080/2473 3938.2019.1634279.
37. McCunn R, Devlin P. in-Chief Comment on:“The 1.2 km shuttle run test: Reliability and comparison with the yo-yo intermittent recovery level 1 test in young elite rugby union players”. J Aus Strength.
38. Berthon P, Fellmann N, Bedu M, Beaune B, Dabonneville M, Coudert J, et al. A 5-min running field test as a measurement of maximal aerobic velocity. Eur J Appl Physiol Occup Physiol. 1997; 75(3):233-8. doi: 10.1007/s004210050153. PubMed PMID: 9088842.
39. Knicker AJ, Renshaw I, Oldham AR, Cairns SP. Interactive processes link the multiple symptoms of fatigue in sport competition. Sports med. 2011; 41(4):307-28.
40. Buchheit M. The 30-15 intermittent fitness test: accuracy for individualizing interval training of young intermittent sport players. J Strength Cond Res. 2008; 22(2):365-74.
41. Kavanagh R, McDaid K, Rhodes D, McDonnell J, Oliveira R, Morgans R. An Analysis of Positional Generic and Individualized Speed Thresholds Within the Most Demanding Phases of Match Play in the English Premier League. Int J Sports Physiol Perform. 2023; 1(aop):1-11.
42. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd edn Lawrence Erlbaum: Hillsdale. NJ; 1988.
43. Castagna C, Impellizzeri F, Cecchini E, Rampinini E, Alvarez JCB. Effects of intermittent-endurance fitness on match performance in young male soccer players. J Strength Cond Res. 2009; 23(7):1954-9.
44. Impellizzeri FM, Marcora SM, Castagna C, Reilly T, Sassi A, Iaia FM, et al. Physiological and performance effects of generic versus specific aerobic training in soccer players. Int J Sports Med. 2006; 27(6):483-92. doi: 10.1055/s-2005-865839. PubMed PMID: 16767613.
45. Bradley PS, Archer DT, Hogg B, Schuth G, Bush M, Carling C, et al. Tier-specific evolution of match performance characteristics in the English Premier League: it’s getting tougher at the top. J Sports Sci. 2016; 34(10):980-7. Epub 20150911. doi: 10.1080/02 640414.2015 .1082614. PubMed PMID: 26359805.
46. Morgans R, Radnor J, Fonseca J et al. Comparison of running and accelerometry variables based on match outcome, match location and quality of opponent in elite professional soccer players. A five-season study. Biol Sport. 2025;42(1):67–79.
47. Morgans R, Radnor J, Fonseca J et al. Match running performance is influenced by possession and team formation in an English Premier League team. Biol Sport. 2024;41(3):275–286.
Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
 
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