Skip to main content

An investigation of the sprint performance of senior elite camogie players during competitive play

Abstract

Purpose

The current study aimed to investigate the sprint performances of senior Camogie players between halves of play and between positions.

Methods

Forty-three (n = 43) elite female Camogie players (23 ± 5 years; 174 ± 5 cm; 68 ± 9 kg) wore 10-Hz GPS devices (STATSports, Apex) to record data in 20 competitive matches during the 2018–2020 season. The total sprint distance (TSD), number of sprints (NOS) < 20 m and ≥ 20 m, and the NOS 80–90% and > 90% of the player’s peak speed, the mean sprint duration, and between-sprint duration were analyzed.

Results

The TSD was 162 ± 102 m accumulated by 9 ± 5 NOS. The NOS < 20 m and ≥ 20 m was 7 ± 3 and 3 ± 2, respectively. The NOS 80–90% and > 90% was 6 ± 3 and 3 ± 3, respectively. The mean sprint duration and between-sprint duration was 3 ± 1 s and 6:29 ± 3:12 min:sec, respectively. A second-half decrease was observed for TSD (ES = − 0.24), NOS (ES = − 0.33), NOS < 20 m (ES = − 0.50) and ≥ 20 m (ES = − 1.00), and NOS > 90% (ES = − 0.63). Full-backs accumulated less TSD and NOS than half-backs (ES = − 1.07, − 1.21, respectively), midfielders (ES = − 1.54, − 1.41, respectively) and half-forwards (ES = − 0.91, − 0.92, respectively). Midfielders and half-forwards had a longer mean length of sprint (ES = 0.88, 0.92, respectively) and mean sprint duration (ES = 0.66, 0.60, respectively) compared to full-backs. Half-backs performed a greater NOS < 20 m than full-backs (ES = 1.17).

Conclusion

The current results provide a sprint profile of Camogie match-play, where positional differences should be considered in training.

This is a preview of subscription content, access via your institution.

References

  1. Young D, Mourot L, Coratella G (2018) Match-play performance comparisons between elite and sub-elite hurling players. Sport Sci Health 14:201–208. https://doi.org/10.1007/s11332-018-0441-6

    Article  Google Scholar 

  2. Young D, O’Grady M, Coratella G (2020) The match-play running performance of elite Camogie players across halves of play. Sport Sci Health. https://doi.org/10.1007/s11332-020-00672-0

    Article  Google Scholar 

  3. Young D, Collins K, Mourot L, Coratella G (2019) The match-play activity cycles in elite U17, U21 and senior hurling competitive games. Sport Sci Health 15:351–359. https://doi.org/10.1007/s11332-018-00523-z

    Article  Google Scholar 

  4. Duthie G, Pyne D, Hooper S (2003) The reliability of video based time motion analysis. J Hum Mov Stud 44:259–272

    Google Scholar 

  5. Malone S, Keane J, Owen A et al (2021) The effect of a periodized small-sided games intervention in hurling on physical and physiological measures of performance. Sport Sci Health 17:403–413. https://doi.org/10.1007/s11332-020-00703-w

    Article  Google Scholar 

  6. Egan B, Young D, Collins K et al (2021) The between-competition running demands of elite hurling match-play. Sports 9:145. https://doi.org/10.3390/sports9110145

    Article  PubMed  PubMed Central  Google Scholar 

  7. McGuinness A, Malone S, Hughes B et al (2019) The physcial activity and physiological profiles of elite international female field hockey players across the quaters of competitive match-play. J Strength Cond Res 33:2513–2522

    Article  Google Scholar 

  8. Vescovi JD (2012) Sprint profile of professional female soccer players during competitive matches: female athletes in motion (FAiM) study. J Sports Sci 30:1259–1265. https://doi.org/10.1080/02640414.2012.701760

    Article  PubMed  Google Scholar 

  9. Vescovi JD, Goodale T (2015) Physical demands of women’s rugby sevens matches: female athletes in motion (FAiM) study. Int J Sports Med 36:887–892. https://doi.org/10.1055/s-0035-1548940

    CAS  Article  PubMed  Google Scholar 

  10. Hauer R, Tessitore A, Hauer K, Tschan H (2019) Activity profile of international female lacrosse players. J Strength Cond Res. https://doi.org/10.1519/jsc.0000000000003253

    Article  Google Scholar 

  11. Young D, Coratella G, Malone S et al (2019) The match-play sprint performance of elite senior hurlers during competitive games. PLoS ONE 14:1–14. https://doi.org/10.1371/journal.pone.0215156

    CAS  Article  Google Scholar 

  12. Young D, Coratella G (2021) Acceleration, deceleration and dynamic stress load in elite hurling: a between-quarter and between-position comparison. Sports 9:10. https://doi.org/10.3390/sports9010010

    Article  PubMed  PubMed Central  Google Scholar 

  13. Young D, Hennessy L, Coratella G (2021) The ball-in-play vs. ball-out-of-play match demands of elite senior hurling. Sport Sci Health. https://doi.org/10.1007/s11332-020-00725-4

    Article  Google Scholar 

  14. Young D, Malone S, Collins K et al (2019) Metabolic power in hurling with respect to position and halves of match-play. PLoS ONE 14:1–12. https://doi.org/10.1371/journal.pone.0225947

    CAS  Article  Google Scholar 

  15. Young D, Kilty J, Hennessy L, Coratella G (2020) The running performance decrement in elite hurling. Appl Sci 10:1–9. https://doi.org/10.3390/app10228191

    CAS  Article  Google Scholar 

  16. Young D, Mourot L, Beato M, Coratella G (2020) Match-play demands of elite U17 hurlers during competitive matches. J Strength Cond Res 34:1982–1989. https://doi.org/10.1519/jsc.0000000000002945

    Article  PubMed  Google Scholar 

  17. Young D, Malone S, Beato M et al (2020) Identification of maximal running intensities during elite hurling match-play. J Strength Cond Res 34:2608–2617. https://doi.org/10.1519/jsc.0000000000002674

    Article  PubMed  Google Scholar 

  18. Misseldine ND, Blagrove RC, Goodwin JE (2021) Speed demands of womenʼs rugby sevens match play. J Strength Cond Res 35:183–189. https://doi.org/10.1519/jsc.0000000000002638

    Article  PubMed  Google Scholar 

  19. Little T, Williams AG (2006) Effects of differential stretching protocols during warm-ups on high-speed motor capacities in professional soccer players. J Strength Cond Res 20:203–207. https://doi.org/10.1519/R-16944.1

    Article  PubMed  Google Scholar 

  20. Jennings D, Cormack S, Coutts AJ et al (2010) Variability of GPS units for measuring distance in team sport movements. Int J Sports Physiol Perform 5:565–569. https://doi.org/10.1123/ijspp.2014-0294

    Article  PubMed  Google Scholar 

  21. McGuinness A, Malone S, Hughes B, Collins K (2019) The physical activity and physiological profiles of elite international female field hockey players across the quarters of competitive match-play. J Strength Cond Res 33:2513–2522. https://doi.org/10.1519/JSC.0000000000002483

    Article  PubMed  Google Scholar 

  22. Mendez-Villanueva A, Buchheit M, Kuitunen S et al (2011) Age-related differences in acceleration, maximum running speed, and repeated-sprint performance in young soccer players. J Sports Sci 29:477–484. https://doi.org/10.1080/02640414.2010.536248

    Article  PubMed  Google Scholar 

  23. Al Haddad H, Simpson BM, Buchheit M et al (2015) Peak match speed and maximal sprinting speed in young soccer players: effect of age and playing position. Int J Sports Physiol Perform 10:888–896. https://doi.org/10.1123/ijspp.2014-0539

    Article  PubMed  Google Scholar 

  24. Beato M, Coratella G, Stiff A, Dello IA (2018) 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 21:1288. https://doi.org/10.3389/fphys.2018.01288

    Article  Google Scholar 

  25. Maddison R, Ni Mhurchu C (2009) Global positioning system: a new opportunity in physical activity measurement. Int J Behav Nutr Phys Act 6:73. https://doi.org/10.1186/1479-5868-6-73

    Article  PubMed  PubMed Central  Google Scholar 

  26. Young D, Mourot L, Beato M, Coratella G (2018) The match heart-rate and running profile of elite under 21 hurlers during competitive match-play. J Strength Cond Res 32:2925–2933. https://doi.org/10.1519/JSC.0000000000002558

    Article  PubMed  Google Scholar 

  27. McGuinness A, McMahon G, Malone S et al (2020) Monitoring wellness, training load, and running performance during a major international female field hockey tournament. J Strength Cond Res 34:2312–2320. https://doi.org/10.1519/jsc.0000000000002835

    Article  PubMed  Google Scholar 

  28. Hopkins WG (2007) A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience 11:16–20

    Google Scholar 

  29. Macutkiewicz D, Sunderland C (2011) The use of GPS to evaluate activity profiles of elite women hockey players during match-play. J Sports Sci 29:967–973

    Article  Google Scholar 

  30. Trewin J, Meylan C, Varley MC, Cronin J (2018) The match-to-match variation of match-running in elite female soccer. J Sci Med Sport 21:196–201. https://doi.org/10.1016/j.jsams.2017.05.009

    Article  PubMed  Google Scholar 

  31. Ryan S, Coutts AJ, Hocking J, Kempton T (2017) Factors affecting match running performance in professional Australian football. Int J Sports Physiol Perform 12:1199–1204. https://doi.org/10.1123/ijspp.2016-0586

    Article  PubMed  Google Scholar 

  32. Mangan S, Malone S, Ryan M et al (2017) The influence of match outcome on running performance in elite Gaelic football. Sci Med Footb 1:272–279. https://doi.org/10.1080/24733938.2017.1363907

    Article  Google Scholar 

  33. Lago C, Casais L, Dominguez E, Sampaio J (2010) The effects of situational variables on distance covered at various speeds in elite soccer. Eur J Sport Sci 10:103–109. https://doi.org/10.1080/17461390903273994

    Article  Google Scholar 

  34. Mangan S, Ryan M, Devenney S et al (2017) The relationship between technical performance indicators and running performance in elite Gaelic football. Int J Perf Anal Sport 17:706–720

    Google Scholar 

Download references

Funding

No funding.

Author information

Authors and Affiliations

Authors

Contributions

MO’G and DY have given substantial contributions to the conception or the design of the manuscript, and MO’G, DY and GC to acquisition, analysis, and interpretation of the data. All authors have participated to drafting the manuscript and revised it critically. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Damien Young.

Ethics declarations

Conflict of interest

The authors have no conflict of interest.

Ethical approval and Informed consent

After ethical approval, the participants were informed of the purpose of the study along with the procedures and potential risks involved. They were also informed that they were free to withdraw at any time throughout the study. Written informed consent and medical declaration were obtained from the participants in line with the procedures set by Limerick Institute of Technology’s Research Ethics Committee.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 68 KB)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

O’Grady, M., Young, D., Collins, K. et al. An investigation of the sprint performance of senior elite camogie players during competitive play. Sport Sci Health 18, 905–913 (2022). https://doi.org/10.1007/s11332-021-00874-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11332-021-00874-0

Keywords

  • Female team sport
  • Sprinting
  • GPS
  • Playing positions
  • Relative speed thresholds