Conte Daniele, Tessitore Antonio, Gjullin Aaron, Mackinnon Dominik, Lupo Corrado, Favero Terence
Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy.
Department of Biology, University of Portland, Portland, OR, USA.
Biol Sport. 2018 Jun;35(2):137-143. doi: 10.5114/biolsport.2018.71602. Epub 2017 Nov 23.
The aim of this study was to analyze the game-related statistics and tactical profile in winning and losing teams in NCAA division I men's basketball games. Twenty NCAA division I men's basketball close (score difference: 1-9 points) games were analyzed during the 2013/14 season. For each game, the game-related statistics were collected from the official teams' box scores. Number of ball possessions, offensive and defensive ratings and the Four Factors (effective field goal percentage; offensive rebounding percentage, recovered balls per ball possession, free throw rate) were also calculated. The tactical parameters evaluated were: ball reversal, dribble in key area, post entry, on-ball screen, off-ball screen, and hand off. Differences between winning and losing teams were calculated using a magnitude-based approach. Winning teams showed a likely higher percentage of 3-point goals made, number of defensive rebounds and steals and a very likely higher number of free throws made and free throws attempted. Furthermore, winning teams showed a likely higher team offensive rating and effective field goal percentage and a very likely higher free throw rate compared to losing teams. Finally, the results revealed a likely higher number of ball reversals and post entries in winning teams compared to losing teams. This study highlighted the game-related statistics and the tactical actions differentiating between winning and losing teams in NCAA Division I men's basketball close games. Coaches should use these results to optimize their training sessions, focusing on those variables that might increase the possibility to win close games.
本研究的目的是分析美国大学体育协会(NCAA)一级男子篮球比赛中获胜和失利球队的比赛相关数据统计和战术概况。对2013/14赛季的20场NCAA一级男子篮球势均力敌的比赛(分差为1 - 9分)进行了分析。对于每场比赛,从官方球队的技术统计数据表中收集比赛相关数据。还计算了控球次数、进攻和防守效率值以及四项因素(有效投篮命中率、进攻篮板率、每次控球的抢断数、罚球率)。评估的战术参数包括:球的转移、在关键区域的运球、低位进攻、持球掩护、无球掩护和传球。使用基于量级的方法计算获胜和失利球队之间的差异。获胜球队的三分球命中百分比、防守篮板数和抢断数可能更高,罚球命中数和罚球次数很可能更多。此外,与失利球队相比,获胜球队的球队进攻效率值和有效投篮命中率可能更高,罚球率很可能更高。最后,结果显示,与失利球队相比,获胜球队的球转移和低位进攻次数可能更多。本研究突出了NCAA一级男子篮球势均力敌比赛中获胜和失利球队之间的比赛相关数据统计和战术动作。教练应利用这些结果优化他们的训练课程,专注于那些可能增加赢得势均力敌比赛可能性的变量。