ORIGINAL PAPER
Rink hockey team performance and technical determinants of the game: a full-season analysis
Filipe Manuel Clemente
1,2,4
1
Escola Superior de Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Melgaço, Portugal
2
Research Center in Sports Performance, Recreation, Innovation and Technology, Polytechnic Institute of Viana do Castelo, Viana do Castelo, Portugal
3
Research Unit for Sport and Physical Activity, Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
4
Instituto de Telecomunicações, Delegação da Covilhã, Covilhã, Portugal
Submission date: 2020-07-23
Acceptance date: 2021-01-20
Publication date: 2021-10-26
Hum Mov. 2022;23(2):121-127
KEYWORDS
TOPICS
ABSTRACT
Purpose:
This study aimed to analyse the correlations between individual technical determinants and the overall team performance in rink hockey sport.
Methods:
Retrospective observational data were collected from 182 matches played by 14 teams competing at the first division of the Portuguese national senior rink hockey championship (full season, 2018/19). Goals scored, goals conceded, direct free-hits, penalties, and final classifications were collected by team, on the basis of the official scoresheets of the games, validated by the official referees.
Results:
The results revealed that direct free-hits were more prevalent, although teams were more effective on penalties (40.4%) than direct free-hits (27.1%). Strong inverse relationships between direct free-hits effectiveness and final classification in the league (r = –0.71, p = 0.004) as well as penalties (r = –0.58, p = 0.029) were found. The effectiveness of the technical determinants, penalties, and direct free-hits increased with the proficiency of the teams in the classification. However, the bottom teams experienced significantly higher weights of these technical determinants on the team’s total goals scored (1st–4th: 15.3%, 5th–9th: 25.6%, 10th–14th: 23.9%; p < 0.05).
Conclusions:
In conclusion, individual technical determinants’ effectiveness was a strong predictor of team performance, accounting for at least 22.1% of the total goals scored in the full season, highlighting athletes’ specialization in the training process.
This study aimed to analyse the correlations between individual technical determinants and the overall team performance in rink hockey sport.
Methods:
Retrospective observational data were collected from 182 matches played by 14 teams competing at the first division of the Portuguese national senior rink hockey championship (full season, 2018/19). Goals scored, goals conceded, direct free-hits, penalties, and final classifications were collected by team, on the basis of the official scoresheets of the games, validated by the official referees.
Results:
The results revealed that direct free-hits were more prevalent, although teams were more effective on penalties (40.4%) than direct free-hits (27.1%). Strong inverse relationships between direct free-hits effectiveness and final classification in the league (r = –0.71, p = 0.004) as well as penalties (r = –0.58, p = 0.029) were found. The effectiveness of the technical determinants, penalties, and direct free-hits increased with the proficiency of the teams in the classification. However, the bottom teams experienced significantly higher weights of these technical determinants on the team’s total goals scored (1st–4th: 15.3%, 5th–9th: 25.6%, 10th–14th: 23.9%; p < 0.05).
Conclusions:
In conclusion, individual technical determinants’ effectiveness was a strong predictor of team performance, accounting for at least 22.1% of the total goals scored in the full season, highlighting athletes’ specialization in the training process.
REFERENCES (26)
1.
Taylor JB, Wright AA, Dischiavi S, Townsend MA, Marmon AR. Activity demands during multi-directional team sports: a systematic review. Sports Med. 2017;47(12):2533–2551; doi: 10.1007/s40279-017-0772-5.
2.
Gréhaigne J-F, Godbout P, Zerai Z. How the “rapport de forces” evolves in a soccer match: the dynamics of collective decisions in a complex system. Rev Psicol Deporte. 2011;20(2):747–765.
3.
Yagüe PI, Del Valle ME, Egocheaga J, Linnamo V, Fernández A. The competitive demands of elite male rink hockey. Biol Sport. 2013;30(3):195–199; doi: 10.5604/20831862.1059211.
4.
Naser N, Ali A, Macadam P. Physical and physiological demands of futsal. J Exerc Sci Fit. 2017;15(2):76–80; doi: 10.1016/j.jesf.2017.09.001.
5.
Harper DJ, Carling C, Kiely J. High-intensity acceleration and deceleration demands in elite team sports competitive match play: a systematic review and meta-analysis of observational studies. Sports Med. 2019;49(12):1923–1947; doi: 10.1007/s40279-019-01170-1.
6.
Ferrari WR, Sarmento H, Vaz V. Match analysis in handball: a systematic review. Monten J Sports Sci Med. 2019;8(2):63–76; doi: 10.26773/mjssm.190909.
7.
Lago-Peñas C, Lago-Ballesteros J, Rey E. Differences in performance indicators between winning and losing teams in the UEFA Champions League. J Hum Kinet. 2011;27:135–146; doi: 10.2478/v10078-011-0011-3.
8.
Kniubaite A, Skarbalius A, Clemente FM, Conte D. Quantification of external and internal match loads in elite female team handball. Biol Sport. 2019;36(4):311–316; doi: 10.5114/biolsport.2019.88753.
9.
Gonçalves BV, Figueira BE, Maçãs V, Sampaio J. Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. J Sports Sci. 2014;32(2):191–199; doi: 10.1080/02640414.2013.816761.
10.
Sousa T, Sarmento H, Harper LD, Valente-dos-Santos J, Vaz V. Development and validation of an observational instrument tool for analysing the activity of rink hockey goalkeepers. J Sport Pedagog Res. 2018;4(3):16–26.
11.
Paul DJ, Bradley PS, Nassis GP. Factors affecting match running performance of elite soccer players: shedding some light on the complexity. Int J Sports Physiol Perform. 2015;10(4):516–519; doi: 10.1123/IJSPP.2015-0029.
12.
Trabal G, Daza G, Riera J. Goalkeeper effectiveness in the direct free hit of rink hockey. Apunts Educ Fis Deportes. 2020;139:56–64; doi: 10.5672/apunts.2014-0983.es.(2020/1).139.08.
13.
Low B, Coutinho D, Gonçalves B, Rein R, Memmert D, Sampaio J. A systematic review of collective tactical behaviours in football using positional data. Sports Med. 2020;50(2):343–385; doi: 10.1007/s40279-019-01194-7.
14.
Conte D, Straigis E, Clemente FM, Gómez M-Á, Tessitore A. Performance profile and game-related statistics of FIBA 3x3 Basketball World Cup 2017. Biol Sport. 2019;36(2):149–154; doi: 10.5114/biolsport.2019.83007.
15.
Méndez C, Gonçalves B, Santos J, Ribeiro JN, Travassos B. Attacking profiles of the best ranked teams from elite futsal leagues. Front Psychol. 2019;10:1370; doi: 10.3389/fpsyg.2019.01370.
16.
Ferioli D, Rampinini E, Martin M, Rucco D, La Torre A, Petway A, et al. Influence of ball possession and playing position on the physical demands encountered during professional basketball games. Biol Sport. 2020;37(3):269–276; doi: 10.5114/biolsport.2020.95638.
18.
Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–12; doi: 10.1249/MSS.0b013e31818cb278.
19.
Balyan M, Vural F. Futsal World Cup: differences created by winning, losing and drawing variables in scored goals and offensive variations. J Educ Train Stud. 2018;6(5):65–71; doi: 10.11114/jets.v6i5.3147.
20.
Daza G, Andrés A, Tarragó R. Match statistics as predictors of team’s performance in elite competitive handball. Rev Int Cienc Deporte. 2017;48(13):149–161; doi: 10.5232/ricyde2017.04805.
21.
Leite WSS. Analysis of the offensive process of the Portuguese futsal team. Pamukkale J Sport Sci. 2012;3(3):78–79.
22.
Oliveira T, Gómez M, Sampaio J. Effects of game location, period, and quality of opposition in elite handball performances. Percept Mot Skills. 2012;114(3):783–794; doi: 10.2466/30.06.PMS.114.3.783-794.
23.
Ferrari W, Vaz V, Sousa T, Couceiro M, Dias G. Comparative analysis of the performance of the winning teams of the Handball World Championship: senior and junior levels. Int J Sports Sci. 2018;8(2):43–49; doi: 10.5923/j.sports.20180802.01.
24.
Ferrari WR, dos Santos JV, Parreiral Simões Vaz V. Offensive process analysis in handball: identification of game actions that differentiate winning from losing teams. Am J Sports Sci. 2014;2(4):92–96; doi: 10.11648/j.ajss.20140204.14.
25.
Hassan A. Team Handball World Cup Championship 2013 – analysis study. J Hum Sport Exerc. 2014;9(1):409–416; doi: 10.14198/jhse.2014.9.Proc1.26.
26.
Bilge M. Game analysis of Olympic, World and European Championships in men’s handball. J Hum Kinet. 2012;35(1):109–118; doi: 10.2478/v10078-012-0084-7.
Share
RELATED ARTICLE
| eISSN: | 1899-1955 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
