ORIGINAL PAPER
Comparison of internal and external load metrics between won and lost game segments in elite beach handball
1
Department of Biomedical Sciences, Area of Sport Physical Education, Faculty of Medicine and Health Sciences, University of Alcala, Madrid, Spain
2
CEIP Antonio Mingote, Alcala de Henares, Madrid, Spain
3
Faculty of Education and Sport Science, Universidad de Vigo, Pontevedra; Sergas-UVIGO, Healthy Fit Research Group, Spain
4
Physical Performance and Sports Research Center, Department of Sports and Computer Sciences, Faculty of Sport Sciences, Pablo de Olavide University, Seville, Spain
Submission date: 2022-03-08
Acceptance date: 2023-02-22
Publication date: 2023-08-04
Hum Mov. 2023;24(3):85-94
KEYWORDS
TOPICS
ABSTRACT
Purpose:
The extraordinary evolution of beach handball requires the relationship between the specific internal and external load in this sport to be determined in order to continue its development. For this reason, the objective of this study was to compare won and lost game segments in beach handball matches to determine if there is a relationship between winning and losing a set and the external and internal loads experienced by an elite beach handball player.
Methods:
The data of 57 elite beach handball players were collected over ten matches, which were divided into time segments of 2 minutes each, making a total of 100 game segments. Data were collected using GPS and GNSS technology.
Results:
The results showed significant differences in the variables distance per minute (d = large in male and medium in female), velocity band 2 distance (d = very large in male and large in female) and band 3 distance (d = very large in male and medium in female), accelerations (number) (d = large in male and medium in female), player load per minute (d = medium in male and in female), velocity work/rest ratio (d = very large in male and in female) and total jumps (number) (d = medium in male and large in female).
Conclusions:
We conclude that the external and internal load variables that determine winning or losing a game segment in elite beach handball are distance per minute, velocity bands 2 (6–8.9 km/h) and 3 (9–11.9 km/h) distance, accelerations (number), player load per minute, velocity work/rest ratio and total jumps (number), both in the male and female categories. The highest values of these variables are observed in the won segments, except for the number of jumps in women.
The extraordinary evolution of beach handball requires the relationship between the specific internal and external load in this sport to be determined in order to continue its development. For this reason, the objective of this study was to compare won and lost game segments in beach handball matches to determine if there is a relationship between winning and losing a set and the external and internal loads experienced by an elite beach handball player.
Methods:
The data of 57 elite beach handball players were collected over ten matches, which were divided into time segments of 2 minutes each, making a total of 100 game segments. Data were collected using GPS and GNSS technology.
Results:
The results showed significant differences in the variables distance per minute (d = large in male and medium in female), velocity band 2 distance (d = very large in male and large in female) and band 3 distance (d = very large in male and medium in female), accelerations (number) (d = large in male and medium in female), player load per minute (d = medium in male and in female), velocity work/rest ratio (d = very large in male and in female) and total jumps (number) (d = medium in male and large in female).
Conclusions:
We conclude that the external and internal load variables that determine winning or losing a game segment in elite beach handball are distance per minute, velocity bands 2 (6–8.9 km/h) and 3 (9–11.9 km/h) distance, accelerations (number), player load per minute, velocity work/rest ratio and total jumps (number), both in the male and female categories. The highest values of these variables are observed in the won segments, except for the number of jumps in women.
REFERENCES (43)
1.
International Handball Federation (IHF). Beach Handball from A to Z. The IHF Beach Handball Handbook; 2012.
2.
Saavedra JM, Pic M, Jimenez F, Lozano D, Kristjansdottir H. Relationship between game-related statistics in elite men’s beach handball and the final result: a classification tree approach. Int J Perform Anal Sport. 2019; 19(4):584–594; doi: 10.1080/24748668.2019.1642040.
3.
Dol G, Onetto V, Carbonell V, Gonzalez-Ramirez A. Analysis of throwing performance in elite women’s beach handball [in Spanish]. Apunts Educ Fis Deporte. 2020; 141(06):49–54; doi: 10.5672/apunts.2014-0983.es. (2020/3).141.06.
4.
Zapardiel JC. Beach handball European championships analysis Stare Jablonki 2019. EHF Web Periodical; 2020:1–21.
5.
Argudo Iturriaga FM, Borges PJ, Ruiz Lara E, Prieto Bermejo J. Efficacy comparative of a validated power play training protocol in water polo U12 players [in Spanish]. Retos. 2019;35:374–377; doi: 10.47197/retos. v0i35.67879.
6.
Gutierrez-Vargas R, Gutierrez-Vargas JC, Ugalde-Ramirez JA, Rojas-Valverde D. Kinematics and thermal sex-related responses during an official beach handball game in Costa Rica: a pilot study. Arch Med Deporte. 2019;36(1):13–18.
7.
Iannaccone A, Conte D, Kniubaite A, Fusco A, Cortis C. Playerload of beach handball players during competitions. 5th EHF Scientific Conference, “Handball for Life”, 21–22 November 2019, Cologne, Germany; 2019:28; doi: 10.13140/RG.2.2.31011.20008.
8.
Zapardiel Cortes JC, Asin-Izquierdo I. Conditional analysis of elite beach handball according to specific playing position through assessment with GPS. Int J Perform Anal Sport. 2020;20(1):118–132; doi: 10.1080/ 24748668.2020.1718458.
9.
Pueo B, Jimenez-Olmedo JM, Penichet-Tomas A, Ortega Becerra M, Espina Agullo JJ. Analysis of time-motion and heart rate in elite male and female beach handball. J Sports Sci Med. 2017;16(4):450–458.
10.
Gomez-Carmona CD, Garcia-Santos D, Mancha-Triguero D, Antunez A, Ibanez SJ. Analysis of sex-related differences in external load demands on beach handball. Rev Bras Cineantropom Desempenho Hum. 2020; 22(e71448):1–13; doi: 10.1590/1980-0037.2020v22e7 1448.
11.
Mancha-Triguero D, Gonzalez-Espinosa S, Cordoba LG, Garcia-Rubio J, Feu S. Differences in the physical demands between handball and beach handball players. Rev Bras Cineantropom Desempenho Hum. 2020; 22(e72114):1–10; doi: 10.1590/1980-0037.2020v22e7 2114.
12.
Iannaccone A, Fusco A, Conte D, Cortis C. Notational analysis of beach handball. Hum Mov. 2022;23(1):69–79; doi: 10.5114/hm.2021.101757.
13.
Bělka J, Hůlka K, Šafař M, Weisser R, Chadimova J. Beach handball and beach volleyball as means leading to increasing physical activity of recreational sportspeople – pilot study. J Sports Sci. 2015;3(4):165–170; doi: 10.17265/2332-7839/2015.04.002.
14.
Ceylan B, Kerem M, Ceyiz S, Gurses V, Akgul M, Baydil B. Monitoring physiological responses and fluid balance of elite female beach handball players during an international tournament. Phys Educ Stud. 2020;24(2): 86–91; doi: 10.15561/20755279.2020.0203.
15.
Lara Cobos D. Analysis of heart rate in female beach handball players. Apunts Sports Med. 2011;46(171): 131–136; doi: 10.1016/j.apunts.2011.02.001.
16.
Iannaccone A, Conte D, Cortis C, Fusco A. Usefulness of linear mixed-effects models to assess the relationship between objective and subjective internal load in team sports. Int J Environ Res Public Health. 2021;18(2):392; doi: 10.3390/ijerph18020392.
17.
de Oliveira VC, Machado DA, de Assis Nunes JR, Navarro AC. VO2max analysis of athletes selected for the Brazilian beach handball team [in Spanish]. Rev Bras Prescr Fisiol Exerc. 2009;3(17):500–504.
18.
Pereira Padilhas O, de Andrade Pereira R, Seabra Marques RC, Cavalcante Silva D, de Lima Guimaraes KS, de Oliveira Costa D, et al. Inter season physiological control of the Brazilian beach handball team. Rev Bras Med Esporte. 2018;24(6):436–439; doi: 10.1590/1517- 869220182406153471.
19.
Szwajca S, Büsch D, Zentgraf K, Pfänder J, Eils E. Effects of a 6-week transition training on beach handball players’ performance on rigid and sand surface. 5th EHF Scientific Conference “Handball for Life”, 21–22 November 2019, Cologne, Germany; 2019:224.
20.
Lemos LF, Oliveira VC, Duncan MJ, Ortega JP, Martins CM, Ramirez-Campillo R, et al. Physical fitness profile in elite beach handball players of different age categories. J Sports Med Phys Fitness. 2020;60(12): 1536–1543; doi: 10.23736/S0022-4707.20.11104-6.
21.
Santos J, Malico Sousa P, Pinheiro V, Jorge Santos F. Analysis of offensive and defensive actions of young soccer goalkeepers. Hum Mov. 2022;23(1):18–27; doi: 10.5114/hm.2021.104183.
22.
Buchheit M, Modunotti M, Stafford K, Gregson W, Di Salvo V. Match running performance in professional soccer players: effect of match status and goal difference. Sport Perform Sci Rep. 2018;1(21):1–3.
23.
Lago Penas C, Casais L, Dominguez E, Sampaio J. The effects of situational variables on distance covered at various speeds in elite soccer. Eur J Sport Sci. 2010;10(2): 103–109; doi: 10.1080/17461390903273994.
24.
Alves DL, Osiecki R, Palumbo DP, Moiano-Junior JVM, Oneda G, Cruz R. What variables can differentiate winning and losing teams in the group and final stages of the 2018 FIFA World Cup? Int J Perform Anal Sport. 2019;19(2):248–257; doi: 10.1080/24748668.2019.15 93096.
25.
Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med. 2007;28(12):1018–1024: doi: 10.1055/s-2007-965158.
26.
Bradley PS, Di Mascio M, Peart D, Olsen P, Sheldon B. High-intensity activity profiles of elite soccer players at different performance levels. J Strength Cond Res. 2010;24(9):2343–2351; doi: 10.1519/JSC.0b013e3181 aeb1b3.
27.
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– 528; doi: 10.1080/0264041031000071182.
28.
Black GM, Gabbett TJ. Match intensity and pacing strategies in rugby league: an examination of wholegame and interchanged players, and winning and losing teams. J Strength Cond Res. 2014;28(6):1507–1516; doi: 10.1519/JSC.0b013e3182a4a225.
29.
Luteberget LS, Holme BR, Spencer M. Reliability of wearable inertial measurement units to measure physical activity in team handball. Int Sports Physiol Perform. 2018;13(4):467–473; doi: 10.1123/ijspp.2017-0036.
30.
Johnston RJ, Watsford ML, Kelly SJ, Pine MJ, Spurrs RW. Validity and interunit reliability of 10 Hz and 15 Hz GPS units for assessing athlete movement demands. J Strength Cond Res. 2014;28(6):1649–1655; doi: 10.1519/ JSC.0000000000000323.
31.
Nicolella DP, Torres-Ronda L, Saylor KJ, Schelling X. Validity and reliability of an accelerometer-based player tracking device. PloS One. 2018;13(2):e0191823; doi: 10.1371/journal.pone.0191823.
32.
Osgnach C, Poser S, Bernardini R, Rinaldo R, di Prampero PE. Energy cost and metabolic power in elite soccer: a new match analysis approach. Med Sci Sports Exerc. 2010;42(1):170–178; doi: 10.1249/MSS.0b013e3181ae 5cfd.
34.
Boyd LJ, Ball K, Aughey RJ. The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. Int J Sports Physiol Perform. 2011;6(3):311–321; doi: 10.1123/ijspp.6.3.311.
35.
Iannaccone A, Fusco A, Skarbalius A, Kniubaite A, Cortis C, Conte D. Relationship between external and internal load measures in youth beach handball. Int J Sports Physiol Perform. 2022;17(2):256–262; doi: 10.1123/ ijspp.2021-0225.
36.
Sawilowsky SS. New effect size rules of thumb. J Mod Appl Stat Methods. 2009;8(2):597–599; doi: 10.22237/ jmasm/1257035100.
37.
Moncada Jimenez J, Solera Herrera A, Salazar Rojas W. Sources of variance and indices of explained variance in the human movement sciences [in Spanish]. Pensar Mov. 2002;2(2):70–74; doi: 10.15517/pensarmov.v2i2.398.
38.
Cohen J. Quantitative methods in psychology. A power primer. Psychol Bull. 1992;112(1):155–159.
39.
Sampaio JE, Lago C, Goncalves B, Macas VM, Leite N. Effects of pacing, status and unbalance in time motion variables, heart rate and tactical behaviour when playing 5-a-side football small-sided games. J Sci Med Sport. 2014;17(2):229–233; doi: 10.1016/j.jsams.2013.04.005.
40.
Graham S, Zois J, Aughey R, Duthie G. The peak player load™ of state-level netball matches. J Sci Med Sport. 2020;23(2):189–193; doi: 10.1016/j.jsams.2019.09.014.
41.
Vazquez-Diz JA, Morillo-Baro JP, Reigal RE, Morales- Sanchez V, Hernandez-Mendo A. Mixed methods in decision-making through polar coordinate technique: differences by gender on beach handball specialist. Front Psychol. 2019;10:1627; doi: 10.3389/fpsyg.2019. 01627.
42.
Vazquez-Diz JA, Morillo-Baro JP, Reigal RE, Morales- Sanchez V, Hernandez-Mendo A. Contextual factors and decision-making in the behavior of finalization in the positional attack in beach handball: differences by gender through polar coordinates analysis. Front Psychol. 2019;10:1386; doi: 10.3389/fpsyg.2019.01386.
43.
Morillo-Baro JP, Reigal RE, Hernandez-Mendo A. Analysis of positional attack in beach handball male and female with polar coordinates [in Spanish]. Rev Int Cienc Deporte. 2015;11(41):226–244; doi: 10.5232/ricyde2015. 04103.
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