Are they all born to score? The relationship between throwing arm and scoring from the 7-meter line in semi-professional handball.

ABSTRACTIndications of laterall biases favouring left-handers have been found in various sports; especially interactive sports where the athletes have limited time to react to incoming objects. The aim of this study was therefore to explore whether any lateral biases exist in handball by examining 7-meter shots. A total of 6846 7-meter throws from 240 7-meter shooters across four seasons in the semi-professional Icelandic elite handball division (male and female) were analyzed. Out of the 240 7-meter shooters, of which 151 were male and 89 were female, 22% were left-handed (22% of the males and 20% of the females). The left-handed 7-meter shooters took a disproportionate number of the 7-meter shots, with left-handed shooters performing 29% of the 7-meter shots (27% in the male league and 33% in the female league). The results of a Bayesian two-level analysis indicated that left-handedness is not associated with greater success from the 7-meter line at the semi-professional level.

Prediction of Handball Players' Performance on the Basis of Kinanthropometric Variables, Conditioning Abilities, and Handball Skills.

Handball (team handball) is a multifactorial sport. The aims of this study were (i) to analyse anthropometric variables, conditioning abilities, and handball skills in club handball players according to age and sex, and (ii) to develop multivariate models explaining club handball performance from a multidimensional perspective. Two hundred and twenty six handball players (age 16.9 ± 4.0 years, 54% males) participated in the study. The players belonged to under-14, under-16, under-19, and A teams. They were evaluated with a battery of 18 tests covering kinanthropometry, conditioning abilities, and handball skills. A one-way ANOVA with a Bonferroni post-hoc test was used to investigate differences between teams, and a t-test for differences between the sexes. For each team, a discriminant analysis was performed to determine differences between performance levels. The results showed little differences between the U19 and A teams in any of the variables studied in either men or women, and that the lowest values corresponded to the U14 team. The differences according to sex were clear in the kinanthropometric and conditioning variables, but much less so in handball skills. The eight multivariate models that were constructed classified successfully from 48.5 to 100% of the sample using at most three variables (except for the women's A team whose model selected six variables). Conditioning variables were most discriminating in men, and handball skills in women. This would seem to reflect the different performance profiles.

Anthropometric Characteristics, Physical Fitness, and Throwing Velocity in Elite women's Handball Teams.

Saavedra, JM, Kristjánsdóttir, H, Einarsson, IÞ, Guðmundsdóttir, ML, Þorgeirsson, S, and Stefansson, A. Anthropometric characteristics, physical fitness, and throwing velocity in elite women's handball teams. J Strength Cond Res 32(8): 2294-2301, 2018-The aims of this study were (a) to analyze anthropometric, physical fitness, and throwing speed in women elite handball players of different ages and (b) to develop a multivariate model explaining handball performance from a multidimensional perspective. Eighty women handball players (18.2 ± 4.0 years in age) from national team selections participated in the study. The players belonged to A Team, under-19, under-17, and under-15 national teams. All were evaluated by basic anthropometry, physical fitness tests, and handball throwing speed. A 1-way analysis of variance was used to establish the differences between teams with a Bonferroni post hoc test. For each team, a discriminant analysis was performed to determine the predictor variables of performance. Pearson's simple correlation coefficients were calculated between each of the variables. The results of this particular study showed that (a) between the A Team and the U19 team, there were only differences in mass, countermovement jump (CMJ), medicine ball throw, and yo-yo test, (b) the A Team and U19 predictive models correctly classified 76 and 90% of the samples, respectively, with the variables involved being mass and body mass index (A Team) and 30-m sprint and 7-m throwing speed (U19 team), and (c) the 7- and 9-m throwing speeds were correlated with each other and with stature, mass, CMJ, and medicine ball throw (0.367 ≤ r ≤ 0.533; 0.001 ≤ p ≤ 0.05). These results could help improve coaches' knowledge of elite female teams, in particular, in the country where the study was conducted and in others of similar characteristics.

Discriminatory Power of Women's Handball Game-Related Statistics at the Olympic Games (2004-2016).

Sports performance analysis has been a growing field of study in the last decade. However, the number of studies in handball is small. The aims of this present study were (i) to compare handball game-related statistics by the match outcome (winning and losing teams) and (ii) to identify characteristics that discriminated performance in elite women's handball. The game-related statistics of the 236 matches played in the last four Olympic Games (Athens, Greece, 2004; Beijing, China, 2008; London, United Kingdom, 2012; and Rio de Janeiro, Brazil, 2016) were analysed. Differences between match outcomes (winning or losing teams) were determined using the chi-squared statistic, also calculating the effect sizes of the differences. A discriminant analysis was then performed applying the sample-splitting method according to match outcomes. The results showed the differences between winning and losing teams were red cards and assists. Also, the discriminant analysis selected five variables (shots, goalkeeper-blocked shots, technical fouls, steals, and goalkeeper-blocked fast-break shots) that classified correctly 83% of matches. The selected variables included offensive and defensive predictors. Coaches and players can use these results as a reference against which to assess their performance and plan training.