首页> 外文期刊>Kinesiology: international scientific journal of kinesiology and sport >EFFECTS OF GAME LOCATION, TEAM QUALITY AND FINAL OUTCOME ON GAME-RELATED STATISTICS IN PROFESSIONAL HANDBALL CLOSE GAMES
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EFFECTS OF GAME LOCATION, TEAM QUALITY AND FINAL OUTCOME ON GAME-RELATED STATISTICS IN PROFESSIONAL HANDBALL CLOSE GAMES

机译:游戏位置,团队质量和最终结果对专业手球封闭游戏中游戏相关统计数据的影响

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The aim of this study was to identify the effects of team quality, game location and final outcome on handball performance indicators during close games. The sample consisted of 126 close games (goaldifferences of 1.98±1.37) from the Spanish Professional Men’s Handball League (2012/13). Factor analysis identified six factors: Factor 1 – successful 6m and 7m shots and unsuccessful 6m, 7m and 9m shots; Factor 2 – successful 6m and 9m shots and unsuccessful saves from 9m shots; Factor 3 – successful and unsuccessful counter-attack shots, assists, blocks and recovered balls; Factor 4 – successful and unsuccessful saves from 7m shots; Factor 5 – successful and unsuccessful saves from counter-attack shots; Factor 6 – yellow cards and successful saves from 6m shots. A mixed linear model identified the effects of team quality, game location and game outcome on the previously identified factors. Game location effects were significant for Factor 3, with higher values for home teams. Game outcome main effects were identified for Factors 3, 5 and 6, with teams having higher values when winning. The team quality was significant for Factor 3, with higher values for superior teams. The team quality x game outcome and team quality x game location interactions were significant for Factor 3. The game location x game outcome interaction was significant for Factors 2 and 3. These findings can contribute to a better understanding of the situational variables’ determinants of elite handball performances, helping the coaches to prepare the players accordingly.
机译:这项研究的目的是确定团队质量,比赛位置和最终结果对近距离比赛中手球表现指标的影响。样本包括来自西班牙职业男子手球联赛(2012/13)的126场近距离比赛(目标偏差为1.98±1.37)。因素分析确定了六个因素:因素1 –成功拍摄6m和7m,失败6m,7m和9m;因素2 –成功的6百万和9百万次射门,而9百万次射门未能成功扑出;因素3 –成功和不成功的反击投篮,助攻,盖帽和追回球;因素4 –成功射门和失败射门700万次;因素5 –反击投篮成功而失败因子6 –黄牌,成功射门600万。混合线性模型确定了团队素质,比赛位置和比赛结果对先前确定的因素的影响。比赛位置的影响对于因素3而言意义重大,而主队的价值更高。确定了因素3、5和6的比赛结果主要影响,而球队获胜时的价值更高。团队素质对于因素3至关重要,而对优秀团队而言则更高。团队质量x游戏结果和团队质量x游戏位置之间的相互作用对于因素3来说是显着的。游戏位置x游戏结果之间的相互作用对于因素2和3是重要的。手球表演,帮助教练做相应的准备。

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