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Int J Sports Med 2015; 36(01): 41-48
DOI: 10.1055/s-0034-1384547
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

Individualisation of Time-Motion Analysis: A Method Comparison and Case Report Series

F. Hunter
1   Medical and Sports Science Department, Southampton Football Club, Southampton, United Kingdom
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
,
J. Bray
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
,
C. Towlson
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
,
M. Smith
3   School of Science and Health, The University of Western Sydney, Penrith, Australia
,
S. Barrett
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
,
J. Madden
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
4   Medicine, Science and Fitness Department, Middlesbrough Football Club, Middlesbrough, United Kingdom
,
G. Abt
2   Department of Sport, Health and Exercise Science, The University of Hull, Kingston upon Hull, United Kingdom
,
R. Lovell
3   School of Science and Health, The University of Western Sydney, Penrith, Australia
› Author Affiliations
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Publication History



accepted after revision 12 May 2014

Publication Date:
26 September 2014 (online)

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Abstract

This study compared the intensity distribution of time-motion analysis data, when speed zones were categorized by different methods. 12 U18 players undertook a routine battery of laboratory- and field-based assessments to determine their running speed corresponding to the respiratory compensation threshold (RCT), maximal aerobic speed (MAS), maximal oxygen consumption (vV˙O2max) and maximal sprint speed (MSS). Players match-demands were tracked using 5 Hz GPS units in 22 fixtures (50 eligible match observations). The percentage of total distance covered running at high-speed (%HSR), very-high speed (%VHSR) and sprinting were determined using the following speed thresholds: 1) arbitrary; 2) individualised (IND) using RCT, vV˙O2max and MSS; 3) individualised via MAS per se; 4) individualised via MSS per se; and 5) individualised using MAS and MSS as measures of locomotor capacities (LOCO). Using MSS in isolation resulted in 61% and 39% of player's % HSR and % VHSR, respectively, being incorrectly interpreted, when compared to the IND technique. Estimating the RCT from fractional values of MAS resulted in erroneous interpretations of % HSR in 50% of cases. The present results suggest that practitioners and researchers should avoid using singular fitness characteristics to individualise the intensity distribution of time-motion analysis data. A combination of players’ anaerobic threshold, MAS, and MSS characteristics are recommended to individualise player-tracking data.

Key words

external load - fitness characteristics - GPS - match-demands - soccer - intensity-distribution
 

  • References

  • 1 Abt G, Lovell R. The use of individualized speed and intensity thresholds for determining the distance run at high-intensity in professional soccer. J Sports Sci 2009; 27: 893-898
    CrossrefPubMedSearch in Google Scholar
  • 2 Buchheit M. Repeated-sprint performance in team sport players: associations with measures of aerobic fitness, metabolic control and locomotor function. Int J Sport Med 2012; 33: 230-239
    Thieme ConnectPubMedSearch in Google Scholar
  • 3 Buchheit M, Mendez-Villanueva A, Simpson BM, Bourdon PC. Repeated-Sprint Sequences During Youth Soccer Matches. Int J Sports Med 2010; 31: 709-716
    Thieme ConnectPubMedSearch in Google Scholar
  • 4 Buchheit M, Simpson BM, Mendez-Villanueva A. Repeated high-speed activities during youth soccer games in relation to changes in maximal sprinting and aerobic speeds. Int J Sports Med 2013; 34: 40-48
    Thieme ConnectPubMedSearch in Google Scholar
  • 5 Buchheit M, Laursen PB. High-Intensity Interval Training, Solutions to the Programming Puzzle. Part 1: Cardiopulmonary Emphasis. Sports Med 2013; 43: 313-338
    CrossrefPubMedSearch in Google Scholar
  • 6 Buchheit M, Solano R, Millet GP. Heart-rate deflection point and the second heart-rate variability threshold during running exercise in trained boys. Ped Exer Sci 2007; 19: 192-204
    PubMedSearch in Google Scholar
  • 7 Bundle MW, Hoyt RW, Weyand PG. High-speed running performance: a new approach to assessment prediction. J Appl Physiol 2003; 95: 1955-1962
    CrossrefPubMedSearch in Google Scholar
  • 8 Cahill N, Lamb K, Worsfold P, Headey R, Murray S. The movement characteristics of English Premiership rugby union players. J Sports Sci 2013; 31: 229-237
    Search in Google Scholar
  • 9 Carling C. Interpreting physical performance in professional soccer match-play: should we be more pragmatic in our approach?. Sports Med 2013; 43: 655-663
    CrossrefPubMedSearch in Google Scholar
  • 10 Clark NA, Edwards AM, Morton RH, Butterly RJ. Season-to-season variations of physiological fitness within a squad of professional male soccer players. J Sports Sci Med 2008; 7: 157-165
    PubMedSearch in Google Scholar
  • 11 Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd edition Hillsdale, NJ: Lawrence Erlbaum; 1988
    Search in Google Scholar
  • 12 Davis JA. Anaerobic threshold: review of the concept and directions for future research. Med Sci Sports Exerc 1985; 17: 6-21
    PubMedSearch in Google Scholar
  • 13 Di Salvo V, Gregson W, Atkinson G, Tordoff P, Drust B. Analysis of high intensity activity in Premier League soccer. Int J Sports Med 2009; 30: 205-212
    Thieme ConnectPubMedSearch in Google Scholar
  • 14 Drust B, Atkinson G, Reilly T. Future perspectives in the evaluation of the physiological demands of soccer. Sports Med 2007; 37: 783-805
    CrossrefPubMedSearch in Google Scholar
  • 15 Edwards A, Clark N, Macfadyen A. Lactate and Ventilatory thresholds reflect the training status of professional soccer players where maximum aerobic power is unchanged. J Sports Sci Med 2003; 2: 23-29
    PubMedSearch in Google Scholar
  • 16 Harley JA, Barnes CA, Portas M, Lovell R, Barrett S, Paul D, Weston M. Motion analysis of match-play in elite U12 to U16 age-group soccer players. J Sports Sci 2010; 28: 1391-1397
    CrossrefPubMedSearch in Google Scholar
  • 17 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2014 update. Int J Sports Med 2013; 34: 1025-1028
    Thieme ConnectPubMedSearch in Google Scholar
  • 18 Hopkins WG. Spreadsheets for analysis of controlled trials with adjustment for a predictor. Sportscience 2006; 10: 46-50
    PubMedSearch in Google Scholar
  • 19 Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-12
    PubMedSearch in Google Scholar
  • 20 Impellizzeri FM, Rampinini E, Coutts AJ, Sassi A, Marcora SM. Use of RPE-based training load in soccer. Med Sci Sports Exerc 2004; 36: 1042-1047
    CrossrefPubMedSearch in Google Scholar
  • 21 Lacome M, Piscione J, Hager JP, Bourdin M. A new approach to quantifying physical demand in rugby union. J Sports Sci 2014; 32: 290-300
    CrossrefPubMedSearch in Google Scholar
  • 22 Leger LA, Boucher R. An indirect continuous running multistage field test: the Universite de Montreal track test. Can J Appl Sport Sci 1980; 5: 77-84
    PubMedSearch in Google Scholar
  • 23 Lovell R, Abt G. Individualization of time-motion analysis: a case-cohort example. Int J Sports Physiol Perform 2013; 8: 456-458
    CrossrefPubMedSearch in Google Scholar
  • 24 Lucía A, Hoyos J, Pérez M, Chicharro JL. Heart rate and performance parameters in elite cyclists: a longitudinal study. Med Sci Sports Exerc 2000; 32: 1777-1782
    CrossrefPubMedSearch in Google Scholar
  • 25 Manzi V, Impellizzeri F, Castagna C. Aerobic fitness ecological validity in elite soccer players. J Strength Cond Res 2014;
    PubMedSearch in Google Scholar
  • 26 Mendez-Villanueva A, Buchheit M, Simpson B, Bourdon PC. Match play intensity distribution in youth soccer. Int J Sports Med 2013; 34: 101-110
    Thieme ConnectPubMedSearch in Google Scholar
  • 27 Mendez-Villanueva A, Buchheit M, Simpson B, Peltola E, Bourdon P. Does on-field sprinting performance in young soccer players depend on how fast they can run or how fast they do run?. J Strength Cond Res 2011; 25: 2634-2638
    CrossrefPubMedSearch in Google Scholar
  • 28 Midgley AW, Mcnaughton LR, Carroll S. Time at VO2max during intermittent treadmill running: test protocol dependent or methodological artefact?. Int J Sports Med 2007; 28: 934-939
    Thieme ConnectPubMedSearch in Google Scholar
  • 29 Scott TJ, Black CR, Quinn J, Coutts AJ. Validity and reliability of the session-RPE method for quantifying training in Australian football: a comparison of the CR10 and CR100 scales. J Strength Cond Res 2013; 27: 270-276
    CrossrefPubMedSearch in Google Scholar
  • 30 Vigne G, Gaudino C, Rogowski I, Alloatti G, Hautier C. Activity profile in elite Italian soccer team. Int J Sports Med 2010; 31: 304-310
    Thieme ConnectPubMedSearch in Google Scholar
  • 31 Weston M. Difficulties in determining the dose-response nature of competitive soccer matches. J Ath Enhance 2013; 2
    PubMedSearch in Google Scholar