Abstract
Background
Use of Global positioning system (GPS) technology in team sport permits measurement of player position, velocity, and movement patterns. GPS provides scope for better understanding of the specific and positional physiological demands of team sport and can be used to design training programs that adequately prepare athletes for competition with the aim of optimizing on-field performance.
Objective
The objective of this study was to conduct a systematic review of the depth and scope of reported GPS and microtechnology measures used within individual sports in order to present the contemporary and emerging themes of GPS application within team sports.
Methods
A systematic review of the application of GPS technology in team sports was conducted. We systematically searched electronic databases from earliest record to June 2012. Permutations of key words included GPS; male and female; age 12–50 years; able-bodied; and recreational to elite competitive team sports.
Results
The 35 manuscripts meeting the eligibility criteria included 1,276 participants (age 11.2–31.5 years; 95 % males; 53.8 % elite adult athletes). The majority of manuscripts reported on GPS use in various football codes: Australian football league (AFL; n = 8), soccer (n = 7), rugby union (n = 6), and rugby league (n = 6), with limited representation in other team sports: cricket (n = 3), hockey (n = 3), lacrosse (n = 1), and netball (n = 1). Of the included manuscripts, 34 (97 %) detailed work rate patterns such as distance, relative distance, speed, and accelerations, with only five (14.3 %) reporting on impact variables. Activity profiles characterizing positional play and competitive levels were also described. Work rate patterns were typically categoriszed into six speed zones, ranging from 0 to 36.0 km·h−1, with descriptors ranging from walking to sprinting used to identify the type of activity mainly performed in each zone. With the exception of cricket, no standardized speed zones or definitions were observed within or between sports. Furthermore, speed zone criteria often varied widely within (e.g. zone 3 of AFL ranged from 7 to 16 km·h−1) and between sports (e.g. zone 3 of soccer ranged from 3.0 to <13 km·h−1 code). Activity descriptors for a zone also varied widely between sports (e.g. zone 4 definitions ranged from jog, run, high velocity, to high-intensity run). Most manuscripts focused on the demands of higher intensity efforts (running and sprint) required by players. Body loads and impacts, also summarized into six zones, showed small variations in descriptions, with zone criteria based upon grading systems provided by GPS manufacturers.
Conclusion
This systematic review highlights that GPS technology has been used more often across a range of football codes than across other team sports. Work rate pattern activities are most often reported, whilst impact data, which require the use of microtechnology sensors such as accelerometers, are least reported. There is a lack of consistency in the definition of speed zones and activity descriptors, both within and across team sports, thus underscoring the difficulties encountered in meaningful comparisons of the physiological demands both within and between team sports. A consensus on definitions of speed zones and activity descriptors within sports would facilitate direct comparison of the demands within the same sport. Meta-analysis from systematic review would also be supported. Standardization of speed zones between sports may not be feasible due to disparities in work rate pattern activities.
Similar content being viewed by others
References
Larsson P. Global positioning system and sport-specific testing. Sports Med. 2003;33(15):1093–101.
Schutz Y, Herre R. Assessment of speed of human locomotion using a differential satellite global positioning system. Med Sci Sports Exerc. 2000;32:642–6.
Gray AJ, Jenkins D, Andrews MH, et al. Validity and reliability of GPS for measuring distance travelled in field-based team sports. J Sports Sci. 2010;28(12):1319–25.
Schutz Y, Chambaz A. Could a satellite-based navigation system (GPS) be used to assess the physical activity of individuals on earth? Eur J Clin Nutr. 1997;51(5):338–9.
McLellan CP, Lovell DI, Cass GC. Performance analysis of elite Rugby League match play using global positioning systems. J Strength Cond Res. 2011;25(6):1703–10.
Waldron MT, Highton C, Worsolf J, et al. Movement and physiological match demands of elite Rugby League using portable global positioning systems. J Sports Sci. 2011;29(11):1223–30.
GPSports Systems. GPSports team analysis user manual. Version 1.5;2006.
McLellan CP, Lovell DI, Gass GC. Biochemical and endocrine responses to impact and collision during elite Rugby League match play. J Strength Cond Res. 2011;25(6):1553–62.
Aughey RJ. Applications of GPS technologies to field sports. Int J Sports Physiol Perform. 2011;6(3):295–310.
Varley M, Aughey R. Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. J Sports Sci. 2012;30(2):121–7.
Jennings D, Cormack S, Coutts AJ, et al. The validity and reliability of GPS units for measuring distance in team sport specific running patterns. Int J Sports Physiol Perform. 2010;5(3):328–41.
Johnston R, Watsford M, Pine M, et al. The validity and reliability of 5-Hz global positioning system units to measure team sport movement demands. J Strength Cond Res. 2012;26(3):758–65.
Portas M, Rush C, Barnes C, et al. Method comparison of linear distance and velocity measurements with global positioning satellite (GPS) and the timing gates techniques. J Sci Med Sport. 2009;4:381–93.
Portas M, Rush C, Barnes C, et al. The validity and reliability of 1-Hz and 5-Hz global positioning systems for linear, multidirectional, and soccer-specific activities. Int J Sports Physiol Perform. 2010;5:448–58.
Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–84.
Harley JA, Barnes CA, Portas M, et al. Motion analysis of match-play in eltie U12 to U16 age-group soccer players. J Sports Sci. 2010;28(13):1391–7.
Aughey RJ. Increased high-intensity activity in elite Australian Football finals matches. Int J Sports Physiol Perform. 2011;6(3):367–79.
Aughey RJ, Falloon C. Real-time versus post game GPS data in team sports. J Sci Med Sport. 2010;13(3):348–9.
Brewer C, Dawson B, Haesman J, et al. Movement pattern comparisons in elite (AFL) and sub-elite (WAFL) Australian Football games using GPS. J Sci Med Sport. 2010;13(6):618–23.
Coutts AJ, Quinn J, Hocking J, et al. Match running performance in elite Australian Rules football. J Sci Med Sport. 2010;13(5):543–8.
Farrow D, Pyne D, Gabbett T. Skill and physiological demands of open and closed training drills in Australian Football. Int J Sports Sci Coach. 2008;3(4):489–99.
Mooney M, O’Brien B, Cormack S, et al. The relationship between physical capacity and match performance in elite Australian Football: a mediation approach. J Sci Med Sport. 2011;14(5):447–52.
Piggot B, Newton M, McGuian M. The relationship between training load and incidence of injury and illness over a pre season at an Australian Football League club. J Aus Strength Cond. 2009;17(3):4–17.
Wisbey B, Montgomery PG, Pyne DB, et al. Quantifying demands of AFL football using GPS tracking. J Sci Med Sport. 2010;13(5):531–6.
Castagna C, Impellizzeri F, Cecchini E, et al. Effects of intermittent-endurance fitness on match performance in young male soccer players. J Strength Cond Res. 2009;23(7):1954–9.
Barbero Alvarez J, Lopez M, Barbero Alvarez V, et al. Heart rate and activity profile for young female soccer players. J Hum Sport Exerc. 2008;3(2):1–11.
Bucheit M, Mendez-Villanueva A, Simpson BM, et al. Match running performance and fitness in youth soccer. Int J Sports Med. 2010;31(11):818–25.
Casamichana D, Castellano J. Heart rate and motion analysis by GPS in beach soccer. J Sports Sci Med. 2010;9:98–103.
Hill-Haas SV, Coutts AJ, Rowsell GJ, et al. Variability of acute physiological responses and performance profiles of youth soccer players in small-sided games. J Sci Med Sport. 2008;11(5):487–90.
Hill-Haas SV, Dawson BT, Coutts AJ, et al. Physiological responses and time-motion characteristics of various small-sided soccer games in youth players. J Sports Sci. 2009;27(1):1–8.
Hartwig T, Naughton G, Searl J. Defining the volume and intensity of sport participation in adolescent Rugby Union players. Inter J Sports Physiol Perform. 2008;3:94–106.
Hartwig T, Naughton G, Searl J. Motion analyses of adolescent Rugby Union players: a comparison of training and game demands. J Strength Cond Res. 2011;25(4):966–72.
Suárez-Arrones JL, Portillo LJ, Gonzalez-Rave MJ, et al. Match running performance in Spanish elite male Rugby Union using global positioning system. Isokinetic Exer Sci. 2012;20:77–83.
Venter R, Opperman E, Opperman S. The use of global positioning system (GPS) tracking devices to access movement demands and impacts in under-19 Rugby Union match play. Afr J Phys Health Ed Rec Dance. 2011;17(1):1–8.
Higham DG, Pyne DB, Anson JM, et al. Movement patterns in Rugby sevens: effects of tournament level, fatigue and substitute players. J Sci Med Sport. 2012;15(3):277–82.
Cunniffe B, Proctor W, Barker JS, et al. An evaluation of the physiological demands of elite Rugby Union using global positioning system tracking system. J Strength Cond Res. 2009;23(4):1195–203.
Austin DJ, Kelly SJ. Positional differences in professional rugby league match play through the use of global positioning systems. J Strength Cond Res. 2013;27(1):14-9.
Duffield R, Murphy A, Snape A, et al. Post match changes in neuromuscular function and the relationship to match demands in amateur Rugby League matches. J Sci Med Sport. 2012;15(3):238–43.
Gabbett TJ, Jenkins DG, Abernethy B. Physical demands of professional rugby league training and competition using microtechnology. J Sci Med Sport. 2012;15(1):80–6.
McLellan CP, Lovell DI, Cass GC. Creatine kinase and endocrine responses of elite players pre, during and post rugby league match play. J Strength Cond Res. 2010;24(11):2908–19.
Petersen CJ, Pyne DB, Dawson B, et al. Movement patterns in cricket vary by both position and game format. J Sports Sci. 2010;28(1):45–52.
Petersen CJ, Pyne DB, Portus MR, et al. Comparison of player movement patterns between 1-day and test cricket. J Strength Cond Res. 2011;25(5):1368–73.
Petersen CJ, Pyne DB, Portus MR, et al. Variability in movement pattern during one day internationals by a cricket fast bowler. Int J Sports Physiol Perform. 2009;4(2):278–81.
Gabbett TJ. GPS analysis of elite women’s field hockey training and competition. J Strength Cond Res. 2010;24(5):1321–4.
Jennings DH, Cormack SJ, Coutts AJ, et al. International field hockey players perform more high speed running than national level counterparts. J Strength Cond Res. 2012;26(4):947–52.
Macutkiewicz D, Sunderland C. The use of GPS to evaluate activity profiles of elite women hockey players during match-play. J Sports Sci. 2011;29(9):967–73.
Higgins T, Naughton GA, Burgess D. Effects of wearing compression garments on physiological and performance measures in a simulated game-specific circuit for netball. J Sci Med Sport. 2009;12(1):223–6.
Duffield R, Steinbacher G, Fairchild TJ. The use of mixed-method, part body pre-cooling procedures for team-sport athletes in the heat. J Strength Cond Res. 2009;23(9):2524–32.
Docherty D, Wegner HA, Neary P. Time-motion analysis related to the physiological demands of rugby. J Hum Mov Stud. 1988;14:269–77.
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(9):893–8.
Sykes D, Ceri N, Lamb K, et al. An evaluation of the external validity and reliability of a rugby league match simulation protocol. J Sports Sci. 2012;31(1):48–57.
King D, Hume P, Milburn P, et al. Match and training injuries in Rugby League: a review of published studies. Sports Med. 2010;40(2):163–78.
Kelly D, Coughlan FG, Green SB, et al. Automatic detection of collisions in elite level Rugby Union using a wearable sensing device. Sports Eng. 2012;15:81–92.
Dogramaci SN, Watsford ML, Murphy AJ. The reliability and validity of subjective notational analysis in comparison to global positioning system tracking to assess athlete movement patterns. J Strength Cond Res. 2011;25(3):852–9.
Ebbeling C, Hamill J, Freedson P, et al. An examination of efficiency during walking in children and adults. Pediatr Exerc Sci. 1992;4(1):36–49.
Rowland TW, Auchinachie JA, Keenan TJ, et al. Physiologic responses to treadmill running in adult and prepubertal males. Int J Sports Med. 1987;8(4):292–7.
Grieve DW, Ruth GJ. The relationships between length of stride, step frequency, time of swing and speed of walking for children and adults. Ergonomics. 1966;9(5):379–99.
Frost G, Dowling J, Dyson K, et al. Cocontraction in three age groups of children during treadmill locomotion. J Electromyogr Kinesiol. 1997;7(3):179–86.
Davies CT. Metabolic cost of exercise and physical performance in children with some observations on external loading. Eur J Appl Physiol Occup Physiol. 1980;45(2–3):95–102.
Thorstensson A. Effects of moderate external loading on the aerobic demand of submaximal running in men and 10 year-old boys. Eur J Appl Physiol Occup Physiol. 1986;55(6):569–74.
Ariens GA, Mechelen W, Kemper HC, et al. The longitudinal development of running economy in males and females aged between 13 and 27 years: the Amsterdam Growth and Health Study. Eur J Appl Physiol Occup Physiol. 1997;76(3):214–20.
Gabbett TJ, Domrow N. Relationships between training load, injury, and fitness in sub-elite collision sport athletes. J Sports Sci. 2007;25(13):1507–19.
Gabbett TJ. The development and application of an injury prediction model for noncontact, soft-tissue injuries in elite collision sport athletes. J Strength Cond Res. 2010;24(10):2593–603.
Randers M, Mujikab I, Hewitt A, et al. Application of four different football match analysis systems: a comparative study. J Sports Sci. 2010;28(2):171–82.
Lovell R, Barrett S, Portas M, et al. Re-examination of the post half-time reduction in soccer work-rate. J Sci Med Sport. 2013;16:250–4.
Waldron M, Worsfold P, Twist C, et al. Concurrent validity and test–retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables. J Sports Sci. 2011;29(15):1613–9.
Acknowledgments
This manuscript contributes to CC’s PhD qualification. No funding has been received for the preparation of this manuscript. The authors declare that there are no conflicts of interest that are directly relevant to the context of this review.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Cummins, C., Orr, R., O’Connor, H. et al. Global Positioning Systems (GPS) and Microtechnology Sensors in Team Sports: A Systematic Review. Sports Med 43, 1025–1042 (2013). https://doi.org/10.1007/s40279-013-0069-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40279-013-0069-2