Statistical Model of the Wing Players who Participated in the Women's European Handball Championship, Serbia 2012

Georgiana, Vărzaru Cristina; Aurelia, Igorov Maria

doi:10.1016/j.sbspro.2014.02.189

Cited by 2 publications

(7 citation statements)

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“…Finally, D) Attacks where the winger enters as a second-line player, “slides” and stays without taking the ball (bottom right in Figure 1 ). This is probably due to a) attack of long duration, and b) advanced defense movements, so the second-line player finds free spaces to move in and “slide” into the gaps of the defense ( Georgiana and Aurelia, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

“…An important and frequent action in the organized attack is the running-in of wingers into 6 meters as second-line players. Georgiana and Aurelia (2014) state that considering the tasks of the winger's position during the game, modern European handball requires a lot of involvement of these wingers in the tactics of the game. According to the same authors, who analyzed the 2012 European women's championship, the average of winger goals in that tournament was 6.1 goals per match.…”

Section: Introductionmentioning

confidence: 99%

“…The second position that the wingers specialized in and played in this tournament was that of a line player (as a second pivot), with movements inside the 6-m line with or without the ball, their specific actions resulting in their teammates scoring goals. Wingers significantly improved their movements without the ball, since during attacks the winger does not have possession of the ball most of the time ( Georgiana and Aurelia, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Movement and Actions of Wingers as Second-Line Players in Organized Attack in Handball

Hatzimanouil,

Saavedra,

Lola

et al. 2024

Journal of Human Kinetics

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In modern handball, one of the important performance indicators is the effectiveness of the attack, especially the running-in of wingers as line players which has not been explored adequately. The purpose of the study was to analyze the movements of wingers in the organized attack when they run in. Fifty-eight matches were analyzed from the 2022 EHF European Men’s Handball Championship. A total of 491 attacks were recorded and 45 variables were analyzed in which wingers ran in as second pivots and the outcome was a throw. For the statistical analysis, descriptive and inductive statistics were used. The results showed that the average time of the running-in was 12.11 ± 9.28 s, the left wing ran in more often (60.1%) and wingers tended to move outside the defense formation (72.5%). Wingers ran in without the ball in possession (81.1%), moved toward defenders 2 and 5 and stood next to defenders, and occasionally blocked, slid or left their position. The defense’s central zone was preferred by players to make a throw. Correspondence analysis showed that wingers finally returned to their initial position regardless of the evolution of the attack. Their role was to block a specific defender or disorganize the defense, for one defender to be isolated so that one attacking player could execute a shot from the central area. Conclusively, wingers play an important role, especially in run-in actions, at the completion of an attack, and in the final throw.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Movement and Actions of Wingers as Second-Line Players in Organized Attack in Handball

Hatzimanouil,

Saavedra,

Lola

et al. 2024

Journal of Human Kinetics

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“…However, as noted by several authors (Ferrari, Dos Santos, and Vaz, 2014;Gómez, Lago-Peñas, Viaño, and González-Garcia, 2014;Teles and Volossovith, 2015;Vaz, van Rooyen, and Sampaio, 2010), team performance indicators should consider not only the final result but also the number of points scored. Indeed, recent studies have analysed match statistics in several sports settings (Georgiana and Aurelia, 2014;Liu, Gómez, Lago-Peñas, and Sampaio, 2015;Lupo, Condello, Capranica, and Tessitore, 2014;Sampaio, Ibáñez, and Lorenzo, 2013). Volossovitch (2013) the lack of studies considering the dynamics of the game versus the studies addressed from a static perspective, where the time in which the game actions occur is not taken into account.…”

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confidence: 99%

“…M Daza, G.; Today, technology allows for the collection of reliable indicators of handball matches in the main national leagues and international championships, thus enabling researchers to carry out accurate analyses of performance (Blanco, Ibáñez, Antúnez, and Hernández-Mendo, 2015). To this end, several studies have assessed performance statistics in handball (Foretić, Rogulj, and Trinić, 2010;Georgiana and Aurelia, 2014;Gruić et al, 2006;Meletakos, Vagenas, and Bayios, 2011). Given the specific features of handball, match indicators should include defense, attack, and the role of the goalkeeper, as conducted by Skarbalius, Pukénas, and Vidūnaité (2013).…”

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confidence: 99%

Match Statistics as Predictors of Team’s Performance in Elite competitive Handball. [Estadística del partido como predictor del rendimiento de equipo en el balonmano de élite].

Daza¹,

Andrés²,

Tarragó³

2017

Rev. int. cienc. deporte

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The aim of the present study was to identify performance indicators able to predict victory in a handball match. A documental research was carried out based on data from 80 matches from the Men's Handball World Championship, held in Qatar in 2015. Data was obtained from the International Handball Federation website. Reliability was determined through intra and inter-observer agreement. Our results show that the combination of attack, defense, and goalkeeper indicators adequately predicted winning a match. Specifically, the multivariate logistic regression analysis showed that shots saved by other team's goalkeeper, technical fouls, steals, and own goalkeeper's saves were adequate predictors of team performance. We also analysed the cut-off points of key performance indicators that significantly predict the victory of a match. The study of objective performance indicators and their relationship with team outcome can be useful to trainers as a tool to assess different match features.Key words: handball; match statistics; prediction; performance indicators. AbstractCorrespondence/correspondencia: Gabriel Daza Institut Nacional d'Educació Física de Catalunya, Universitat de Barcelona. España. Email: gdaza@gencat.cat El objetivo del presente estudio es identificar los indicadores de rendimiento que permiten predecir la victoria en un partido de balonmano. Se llevó a cabo un estudio documental basado en los datos de los 80 partidos del Campeonato Mundial de Balonmano Masculino, celebrado en Qatar en 2015. Los datos fueron recogidos por la Federación Internacional de Balonmano. Se calculó la fiabilidad intra e inter observador. Los resultados muestran que la combinación de indicadores de ataque, defensa y portero predijo adecuadamente ganar un partido. Específicamente, el análisis de regresión logística multivariante mostró que los lanzamientos parados por el portero del otro equipo, las faltas técnicas, los robos y las paradas del propio portero, eran predictores adecuados del rendimiento del equipo. Se establecieron puntos de corte a partir de los cuales aumenta significativamente la probabilidad de ganar el partido. El estudio de los indicadores de desempeño y su relación con los resultados del equipo puede ser una buena herramienta para evaluar diferentes características del juego.Palabras clave: balonmano; estadísticas de partido; predicción; indicadores de rendimiento. Resumen

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Statistical Model of the Wing Players who Participated in the Women's European Handball Championship, Serbia 2012

Cited by 2 publications

References 1 publication

Analysis of Movement and Actions of Wingers as Second-Line Players in Organized Attack in Handball

Analysis of Movement and Actions of Wingers as Second-Line Players in Organized Attack in Handball

Match Statistics as Predictors of Team’s Performance in Elite competitive Handball. [Estadística del partido como predictor del rendimiento de equipo en el balonmano de élite].

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