ORIGINAL PAPER
Characterization and analyses of dribbling actions in soccer: a novel definition and effectiveness of dribbles in the 2018 FIFA World Cup RussiaTM
1
University of Campinas, Campinas, Brazil
2
Norwegian University of Science and Technology, Ålesund, Norway
3
University of Groningen, Groningen, The Netherlands
Submission date: 2020-08-05
Acceptance date: 2020-09-18
Publication date: 2021-08-17
Hum Mov. 2022;23(1):10-17
KEYWORDS
TOPICS
ABSTRACT
Purpose:
Dribbling is a significant skill in soccer, owing to its effectiveness to create opportunities for scoring, and has been analysed from different perspectives, including the development of talented players. This study proposes a more comprehensive definition than the one earlier applied, considering key elements present in other suggestions found in the literature.
Methods:
This study aims to validate the proposed definition, considering evaluations with experts working with events from the 2018 FIFA World Cup RussiaTM and applying our definition in the analysis of the effectiveness of dribbling actions performed by elite players. We designed a protocol to collect the opinions from experts regarding the classification of events as dribble or non-dribble. To evaluate the quality of experts’ opinions working with the novel dribbling definition, we computed the accuracy, precision, and Krippendorff’s alpha coefficient to measure the agreement between them.
Results:
The obtained results indicate that our definition of dribbling was clear and easily understood by the experts, which suggests that it could be useful to support soccer scouting of dribbling actions. The agreement value showed a near-perfect consensus between experts. We also analysed the effectiveness of dribbling actions considering the number of dribbles and success rates, from which we could observe that 2 CONMEBOL players performed more dribbles than the others.
Conclusions:
The proposed 2-dimensional graphs for assessing the effectiveness of players and teams could be a useful tool for coaches to analyse technical actions toward detecting talented players.
Dribbling is a significant skill in soccer, owing to its effectiveness to create opportunities for scoring, and has been analysed from different perspectives, including the development of talented players. This study proposes a more comprehensive definition than the one earlier applied, considering key elements present in other suggestions found in the literature.
Methods:
This study aims to validate the proposed definition, considering evaluations with experts working with events from the 2018 FIFA World Cup RussiaTM and applying our definition in the analysis of the effectiveness of dribbling actions performed by elite players. We designed a protocol to collect the opinions from experts regarding the classification of events as dribble or non-dribble. To evaluate the quality of experts’ opinions working with the novel dribbling definition, we computed the accuracy, precision, and Krippendorff’s alpha coefficient to measure the agreement between them.
Results:
The obtained results indicate that our definition of dribbling was clear and easily understood by the experts, which suggests that it could be useful to support soccer scouting of dribbling actions. The agreement value showed a near-perfect consensus between experts. We also analysed the effectiveness of dribbling actions considering the number of dribbles and success rates, from which we could observe that 2 CONMEBOL players performed more dribbles than the others.
Conclusions:
The proposed 2-dimensional graphs for assessing the effectiveness of players and teams could be a useful tool for coaches to analyse technical actions toward detecting talented players.
REFERENCES (21)
1.
Rampinini E, Impellizzeri FM, Castagna C, Coutts AJ, Wisløff U. Technical performance during soccer matches of the Italian Serie A league: effect of fatigue and competitive level. J Sci Med Sport. 2009;12(1):227–233; doi: 10.1016/j.jsams.2007.10.002.
2.
Ali A. Measuring soccer skill performance: a review. Scand J Med Sci Sports. 2011;21(2):170–183; doi: 10.1111/j.1600-0838.2010.01256.x.
3.
Bekris E, Gissis I, Ispyrlidis I, Mylonis E, Axeti G. Combined visual and dribbling performance in young soccer players of different expertise. Res Sports Med. 2018;26(1):43–50; doi: 10.1080/15438627.2017.1393751.
4.
Zhou C, Gómez MÁ, Lorenzo A. The evolution of physical and technical performance parameters in the Chinese Soccer Super League. Biol Sport. 2020;37(2):139–145; doi: 10.5114/biolsport.2020.93039.
5.
Goes FR, Kempe M, Meerhoff LA, Lemmink KAPM. Not every pass can be an assist: a data-driven model to measure pass effectiveness in professional soccer matches. Big Data. 2019;7(1):57–70; doi: 10.1089/big.2018.0067.
6.
Konefał M, Chmura P, Rybka K, Chmura J, Huzarski M, Andrzejewski M. What frequency of technical activity is needed to improve results? New approach to analysis of match status in professional soccer. Int J Environ Res Public Health. 2019;16:2233; doi: 10.3390/ijerph16122233.
7.
Liu H, Gómez MÁ, Lago-Peñas C, Sampaio J. Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup. J Sports Sci. 2015;33(12):1205–1213; doi: 10.1080/02640414.2015.1022578.
8.
Gong B, Cui Y, Gai Y, Yi Q, Gómez MÁ. The validity and reliability of live football match statistics from Champdas Master match analysis system. Front Psychol. 2019;10:1339; doi: 10.3389/fpsyg.2019.01339.
9.
Larkin P, O’Connor D, Williams AM. Establishing validity and reliability of a movement awareness and technical skill (MATS) analysis instrument in soccer. Int J Perform Anal Sport. 2016;16(1):191–202; doi: 10.1080/24748668.2016.11868880.
10.
Castañer M, Barreira D, Camerino O, Anguera MT, Fernandes T, Hileno R. Mastery in goal scoring, T-pattern detection, and polar coordinate analysis of motor skills used by Lionel Messi and Cristiano Ronaldo. Front Psychol. 2017;8:741; doi: 10.3389/fpsyg.2017.00741.
11.
Aquino R, Puggina EF, Alves IS, Garganta J. Skill-related performance in soccer: a systematic review. Hum Mov. 2017;18(5):3–24; doi: 10.1515/humo-2017-0042.
12.
Wilson RS, Smith NMA, Pereira Santiago PR, Camata T, de Paula Ramos S, Caetano FG, et al. Predicting the defensive performance of individual players in one vs. one soccer games. PLoS One. 2018;13(12):e0209822; doi: 10.1371/journal.pone.0209822.
13.
Wilson RS, Smith NMA, de Paula Ramos S, Caetano FG, Rinaldo MA, Pereira Santiago PR, et al. Dribbling speed along curved paths predicts attacking performance in match-realistic one vs. one soccer games. J Sports Sci. 2019;37(11):1072–1079; doi: 10.1080/02640414.2018.1544110.
14.
Huijgen BCH, Elferink-Gemser MT, Post WJ, Visscher C. Soccer skill development in professionals. Int J Sports Med. 2009;30(8):585–591; doi: 10.1055/s-0029-1202354.
15.
Krippendorff K. Estimating the reliability, systematic error and random error of interval data. Educ Psychol Meas. 1970;30(1):61–70; doi: 10.1177/001316447003000105.
16.
McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22(3):276–282; doi: 10.11613/BM.2012.031.
17.
Harper LD, West DJ, Stevenson E, Russell M. Technical performance reduces during the extra-time period of professional soccer match-play. PLoS One. 2014;9(10):e110995; doi: 10.1371/journal.pone.0110995.
18.
Açak M, Düz S. Football of the future through the analysis of 2014 FIFA World Cup. J Sports Perform Res. 2017;8(2):87–97; doi: 10.17155/omuspd.322772.
19.
Cerqueira PHR, Nakamura LR, Pescim RR , Leandro RA. Investigating the underlying causal network on European football teams. J Data Sci. 2017;15(2):293–312; doi: 10.6339/JDS.201704_15(2).0007.
20.
Lago-Peñas C, Lago-Ballesteros J. Game location and team quality effects on performance profiles in professional soccer. J Sports Sci Med. 2011;10(3):465–471.
21.
Trocchia T, Izzo R, D’Elia F. 1 vs 1 in the major European football championship. J Hum Sport Exerc. 2019;14(4):S1128–S1134; doi: 10.14198/jhse.2019.14.Proc4.77.
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