Skip to main content
Log in

Physical profiling in lacrosse: a brief review

  • Review
  • Published:
Sport Sciences for Health Aims and scope Submit manuscript

Abstract

Purpose

The purpose of this review is to provide coaches and practitioners with a summary of the strategies to monitor and quantify external loads of lacrosse players. The recommendation, to effectively monitor and quantify locomotive behaviour of lacrosse players, is based on the summary of physical characteristics that are investigated.

Methods

A search of previous literature was conducted using databases such as Google Scholar, PubMed, SPORTDiscus, MEDLINE, and other scholarly search engines linked with Australian Catholic University’s database. A variety of articles associated with lacrosse, monitoring, and technology were collected and examined for this review.

Results

One of the most common injury sites, for lacrosse players, is the anterior crucial ligament (ACL). It was suggested that non-contact ACL injuries are sustained during vast decelerations and change of direction. Descriptive physical characteristics have been examined in both men’s and women’s lacrosse, suggesting that some of the speed, power, and change of direction qualities are comparable to basketball, soccer, and track athletes. Physical profiling consists of collecting and comparing athletic attributes within individuals. As more technology becomes available, the demands to monitor locomotive patterns increase. Global positioning systems (GPS) wearable technology has shown to be a valid, reliable approach for quantifying running-based activities during match play.

Conclusions

This review has presented a construction of appropriate literature surrounding monitoring protocols, together with, describing physical attributes within the sport of lacrosse. Although the need for more research in women’s lacrosse is acknowledged, this review provides coaches and practitioners with an insight to some monitoring protocols.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Steinhagen MR, Meyers MC, Erickson HH, Noble L, Richardson MT (1998) Physiological profile of college club-sport Lacrosse athletes. J Strength Cond Res 12(4):226–231

    Google Scholar 

  2. US Lacrosse (2017) The US Lacrosse participation Report. https://www.uslacrosse.org/sites/default/files/public/documents/about-us-lacrosse/participation-survey-2016.pdf. Accessed 2 Jun 2018

  3. NCAA (2017) Women’s Lacrosse 2016 & 2017 rules. http://www.ncaapublications.com/productdownloads/WLC17.pdf. Accessed 2 Jun 2018

  4. Norton K, Olds T, Olive S, Craig N (1996) Anthropometry and sports performance. In: Norton K, Olds T (eds) Anthropometrica. UNSW Press, pp 287–364

  5. McGuigan MR, Cormack SJ, Gill ND (2013) Strength and power profiling of athletes: selecting tests and how to use the information for program design. Strength Cond J 35(6):7–14

    Article  Google Scholar 

  6. Romas I, Isles R (1986) A game analysis of the physiological requirements of attack and midfield state league lacrosse players. Sports Coach 10(1):42–45

    Google Scholar 

  7. Tanisho K, Ito K, Maeda M, Hirakawa K (2009) Comparisons of movement characteristics and intermittent exercise pattern in ball games. Jpn J Phys Educ Health Sport Sci 54:99–106

    Article  Google Scholar 

  8. Vescovi JD, Brown TD, Murray TM (2007) Descriptive characteristics of NCAA division I women lacrosse players. J Sci Med Sport 10(5):334–340

    Article  PubMed  Google Scholar 

  9. Enemark-Miller EA, Seegmiller JG, Rana SR (2009) Physiological profile of women’s Lacrosse players. J Strength Cond Res 23(1):39–43

    Article  PubMed  Google Scholar 

  10. Alexander JP, Hopkinson TL, Wundersitz DW, Serpell BG, Mara JK, Ball NB (2016) Validity of a wearable accelerometer device to measure average acceleration values during high-speed running. J Strength Cond Res 30(11):3007–3013

    Article  PubMed  Google Scholar 

  11. Cummins C, Orr R, O’Connor H, West C (2013) Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Med 43(10):1025–1042

    Article  PubMed  Google Scholar 

  12. Johnston RJ, Watsford ML, Kelly SJ, Pine MJ, Spurrs RW (2014) Validity and interunit reliability of 10 Hz and 15 Hz GPS units for assessing athlete movement demands. J Strength Cond Res 28(6):1649–1655

    Article  PubMed  Google Scholar 

  13. Rampinini E, Alberti G, Fiorenza M, Riggio M, Sassi R, Borges T, Coutts A (2015) Accuracy of GPS devices for measuring high-intensity running in field-based team sports. Int J Sports Med 36(01):49–53

    CAS  PubMed  Google Scholar 

  14. Coutts AJ, Duffield R (2010) Validity and reliability of GPS devices for measuring movement demands of team sports. J Sci Med Sport 13(1):133–135. https://doi.org/10.1016/j.jsams.2008.09.015

    Article  PubMed  Google Scholar 

  15. Doğramac SN, Watsford ML, Murphy AJ (2011) The reliability and validity of subjective notational analysis in comparison to global positioning system tracking to assess athlete movement patterns. J Strength Cond Res 25(3):852–859. https://doi.org/10.1519/JSC.0b013e3181c69edd

    Article  PubMed  Google Scholar 

  16. Jennings D, Cormack S, Coutts AJ, Boyd L, Aughey RJ (2010) The validity and reliability of GPS units for measuring distance in team sport specific running patterns. Int J Sports Physiol Perform 5(3):328–341

    Article  PubMed  Google Scholar 

  17. Hennig E, Briehle R (2000) Game analysis by GPS satellite tracking of soccer players. Arch Physiol Biochem 108(1–2):44–44

    Google Scholar 

  18. Malone JJ, Di Michele R, Morgans R, Burgess D, Morton JP, Drust B (2015) Seasonal training-load quantification in elite English premier league soccer players. Int J Sports Physiol Perform 10(4):489–497

    Article  PubMed  Google Scholar 

  19. Vescovi JD (2012) Sprint profile of professional female soccer players during competitive matches: Female Athletes in Motion (FAiM) study. J Sports Sci 30(12):1259–1265

    Article  PubMed  Google Scholar 

  20. Coughlan GF, Green BS, Pook PT, Toolan E, O’connor SP (2011) Physical game demands in elite rugby union: a global positioning system analysis and possible implications for rehabilitation. J Orthop Sports Phys Ther 41(8):600–605

    Article  PubMed  Google Scholar 

  21. Gabbett TJ, Jenkins DG, Abernethy B (2012) Physical demands of professional rugby league training and competition using microtechnology. J Sci Med Sport 15(1):80–86

    Article  PubMed  Google Scholar 

  22. Wisbey B, Montgomery PG, Pyne DB, Rattray B (2010) Quantifying movement demands of AFL football using GPS tracking. J Sci Med Sport 13(5):531–536

    Article  PubMed  Google Scholar 

  23. Gabbett TJ (2010) GPS analysis of elite women’s field hockey training and competition. J Strength Cond Res 24(5):1321–1324

    Article  PubMed  Google Scholar 

  24. Jennings D, Cormack SJ, Coutts AJ, Aughey RJ (2012) GPS analysis of an international field hockey tournament. Int J Sports Physiol Perform 7(3):224–231

    Article  PubMed  Google Scholar 

  25. Varley MC, Aughey RJ (2013) Acceleration profiles in elite Australian soccer. Int J Sports Med 34(01):34–39

    CAS  PubMed  Google Scholar 

  26. Wisbey B, Rattray B, Pyne D (2008) Quantifying changes in AFL player game demands using GPS tracking: 2008 AFL season. FitSense Australia, Florey (ACT)

    Google Scholar 

  27. Gray AJ, Jenkins D, Andrews MH, Taaffe DR, Glover ML (2010) Validity and reliability of GPS for measuring distance travelled in field-based team sports. J Sports Sci 28(12):1319–1325. https://doi.org/10.1080/02640414.2010.504783

    Article  PubMed  Google Scholar 

  28. Varley MC, Fairweather IH, Aughey RJ (2012) Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. J Sports Sci 30(2):121–127. https://doi.org/10.1080/02640414.2011.627941

    Article  PubMed  Google Scholar 

  29. Polley CS, Cormack SJ, Gabbett TJ, Polglaze T (2015) Activity profile of high-level Australian lacrosse players. J Strength Cond Res 29(1):126–136

    Article  PubMed  Google Scholar 

  30. Boyd LJ, Ball K, Aughey RJ (2011) The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. Int J Sports Physiol Perform 6(3):311–321

    Article  PubMed  Google Scholar 

  31. Lockie RG, Murphy AJ, Knight TJ, de Jonge XAJ (2011) Factors that differentiate acceleration ability in field sport athletes. J Strength Cond Res 25(10):2704–2714

    Article  PubMed  Google Scholar 

  32. Brown TD, Vescovi JD, VanHeest JL (2004) Assessment of linear sprinting performance: a theoretical paradigm. J Sports Sci Med 3(4):203–210

    PubMed  PubMed Central  Google Scholar 

  33. Di Prampero P, Fusi S, Sepulcri L, Morin J, Belli A, Antonutto G (2005) Sprint running: a new energetic approach. J Exp Biol 208(14):2809–2816

    Article  PubMed  Google Scholar 

  34. Delaney JA, Thornton HR, Rowell AE, Dascombe BJ, Aughey RJ, Duthie GM (2018) Modelling the decrement in running intensity within professional soccer players. Sci Med Football 2(2):86–92. https://doi.org/10.1080/24733938.2017.1383623

    Article  Google Scholar 

  35. Coutts AJ, Kempton T, Sullivan C, Bilsborough J, Cordy J, Rampinini E (2015) Metabolic power and energetic costs of professional Australian Football match-play. J Sci Med Sport 18(2):219–224

    Article  PubMed  Google Scholar 

  36. Delaney JA, Duthie GM, Thornton HR, Scott TJ, Gay D, Dascombe BJ (2016) Acceleration-based running intensities of professional rugby league match play. Int J Sports Physiol Perform 11(6):802–809. https://doi.org/10.1123/ijspp.2015-0424

    Article  PubMed  Google Scholar 

  37. Furlan N, Waldron M, Shorter K, Gabbett TJ, Mitchell J, Fitzgerald E, Osborne MA, Gray AJ (2015) Running-intensity fluctuations in elite rugby sevens performance. Int J Sports Physiol Perform 10(6):802–807

    Article  PubMed  Google Scholar 

  38. Hootman JM, Dick R, Agel J (2007) Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. J Athl Train 42(2):311

    PubMed  PubMed Central  Google Scholar 

  39. Yu B, Garrett WE (2007) Mechanisms of non-contact ACL injuries. Br J Sports Med 41(suppl 1):i47–i51

    Article  PubMed  PubMed Central  Google Scholar 

  40. Mihata LC, Beutler AI, Boden BP (2006) Comparing the incidence of anterior cruciate ligament injury in collegiate lacrosse, soccer, and basketball players: implications for anterior cruciate ligament mechanism and prevention. Am J Sports Med 34(6):899–904

    Article  PubMed  Google Scholar 

  41. Boden BP, Dean GS, Feagin JA, Garrett WE (2000) Mechanisms of anterior cruciate ligament injury. Orthopedics 23(6):573–578

    CAS  PubMed  Google Scholar 

  42. McLellan CP, Lovell DI, Gass GC (2011) The role of rate of force development on vertical jump performance. J Strength Cond Res 25(2):379–385

    Article  PubMed  Google Scholar 

  43. Rowell AE, Aughey RJ, Hopkins WG, Stewart AM, Cormack SJ (2017) Identification of sensitive measures of recovery after external load from football match play. Int J Sports Physiol Perform 12(7):969–976

    Article  PubMed  Google Scholar 

  44. Holloway JB, Baechle TR (1990) Strength training for female athletes. Sports Med 9(4):216–228

    Article  CAS  PubMed  Google Scholar 

  45. Gamble P (2013) Strength training. In: Gamble P (ed) Strength and conditioning for team sports: sport-specific physical preparation for high performance, 2nd edn. Routledge, pp 73–93

  46. Suchomel TJ, Nimphius S, Stone MH (2016) The importance of muscular strength in athletic performance. Sports Med 46(10):1419–1449. https://doi.org/10.1007/s40279-016-0486-0

    Article  PubMed  Google Scholar 

  47. Kilani H, Abu-Eisheh A (2010) Optimum anthropometric criteria for ideal body composition related fitness. Sultan Qaboos Univ Med J 10(1):74–79

    PubMed  PubMed Central  Google Scholar 

  48. Robbins DW, Goodale TL, Kuzmits FE, Adams AJ (2013) Changes in the athletic profile of elite college American Football Players. J Strength Cond Res 27(4):861–874. https://doi.org/10.1519/JSC.0b013e3182610be2

    Article  PubMed  Google Scholar 

  49. Mangine RE, Noyes FR, Mullen MP, Barber SD (1990) A physiological profile of the elite soccer athlete. J Orthop Sports Phys Ther 12(4):147–152

    Article  CAS  PubMed  Google Scholar 

  50. Varley MC, Gabbett T, Aughey RJ (2014) Activity profiles of professional soccer, rugby league and Australian football match play. J Sports Sci 32(20):1858–1866

    Article  PubMed  Google Scholar 

  51. Aughey RJ (2011) Applications of GPS technologies to field sports. Int J Sports Physiol Perform 6(3):295–310

    Article  PubMed  Google Scholar 

  52. Bowen L, Gross AS, Gimpel M, Li F-X (2016) Accumulated workloads and the acute: chronic workload ratio relate to injury risk in elite youth football players. Br J Sports Med. https://doi.org/10.1136/bjsports-2015-095820

    Article  PubMed  Google Scholar 

  53. Issurin VB (2010) New horizons for the methodology and physiology of training periodization. Sports Med 40(3):189–206

    Article  PubMed  Google Scholar 

  54. Owen AL, Djaoui L, Newton M, Malone S, Mendes B (2017) A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Sci Med Footb 1(3):216–221

    Article  Google Scholar 

  55. Scott BR, Lockie RG, Davies SJ, Clark AC, Lynch DM, Janse de Jonge X (2014) The physical demands of professional soccer players during in-season field-based training and match-play. J Aust Strength Cond 22(4):48–52

    Google Scholar 

  56. Halson SL (2014) Monitoring training load to understand fatigue in athletes. Sports Med 44(2):139–147

    Article  PubMed Central  Google Scholar 

  57. Edgecomb SJ, Norton KI (2006) Comparison of global positioning and computer-based tracking systems for measuring player movement distance during Australian football. J Sci Med Sport 9(1–2):25–32. https://doi.org/10.1016/j.jsams.2006.01.003

    Article  CAS  PubMed  Google Scholar 

  58. Scott MTU, Scott TJ, Kelly VG (2016) The validity and reliability of global positioning systems in team sport: a brief review. J Strength Cond Res 30(5):1470–1490. https://doi.org/10.1519/JSC.0000000000001221

    Article  PubMed  Google Scholar 

  59. Torreño N, Munguía-Izquierdo D, Coutts A, de Villarreal ES, Asian-Clemente J, Suarez-Arrones L (2016) Relationship between external and internal loads of professional soccer players during full matches in official games using global positioning systems and heart-rate technology. Int J Sports Physiol Perform 11(7):940–946

    Article  PubMed  Google Scholar 

  60. Higham DG, Pyne DB, Anson JM, Eddy A (2012) Movement patterns in rugby sevens: effects of tournament level, fatigue and substitute players. J Sci Med Sport 15(3):277–282

    Article  PubMed  Google Scholar 

  61. Duhig S, Shield AJ, Opar D, Gabbett TJ, Ferguson C, Williams M (2016) Effect of high-speed running on hamstring strain injury risk. Br J Sports Med 50(24):1536–1540

    Article  PubMed  Google Scholar 

  62. Higashihara A, Nagano Y, Ono T, Fukubayashi T (2018) Differences in hamstring activation characteristics between the acceleration and maximum-speed phases of sprinting. J Sports Sci 36(12):1313–1318

    Article  PubMed  Google Scholar 

  63. Bourne MN, Duhig SJ, Timmins RG, Williams MD, Opar DA, Al Najjar A, Kerr GK, Shield AJ (2016) Impact of the Nordic hamstring and hip extension exercises on hamstring architecture and morphology: implications for injury prevention. Br J Sports Med. https://doi.org/10.1136/bjsports-2016-096130

    Article  PubMed  Google Scholar 

  64. Timmins R, Ruddy J, Presland J, Maniar N, Shield A, Williams M, Opar DA (2016) Architectural changes of the biceps femoris after concentric or eccentric training. Med Sci Sports Exerc 48(3):499–508

    Article  PubMed  Google Scholar 

  65. Mendiguchia J, Martinez-Ruiz E, Morin J, Samozino P, Edouard P, Alcaraz P, Esparza-Ros F, Mendez-Villanueva A (2015) Effects of hamstring-emphasized neuromuscular training on strength and sprinting mechanics in football players. Scand J Med Sci Sports 25(6):e621–e629

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander R. Calder.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.

Informed consent

For this type of study, formal consent is not required.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calder, A.R. Physical profiling in lacrosse: a brief review. Sport Sci Health 14, 475–483 (2018). https://doi.org/10.1007/s11332-018-0499-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11332-018-0499-1

Keywords

Navigation