关键词: analysis assists performance rebounding shooting sport turnovers

来  源:   DOI:10.3389/fspor.2024.1387918   PDF(Pubmed)

Abstract:
The purpose of the present study was to examine differences in game-related statistics between winning and losing game outcomes and determine which performance parameters have the greatest impact in classifying winning from losing game outcomes at the National Collegiate Athletic Association (NCAA) Division-I men\'s basketball level of competition. The data scraping technique was used to obtain publicly available data over a 2018-2019 season span. The total number of games examined was 5,147. Independent t-tests were used to examine statistically significant differences between winning and losing game outcomes, while a full model discriminant function analysis was used to determine the relative contribution of each game-related statistic and its ability to classify winning from losing game outcomes (p < 0.05). Alongside scoring a greater number of points at the end of the game, the findings of the present study indicate that winning teams: (a) attempted and made more field goals, three-point, and free-throw shots, (b) accumulated more defensive and total rebounds, assists, steals, and blocks, (c) had fewer turnovers and personal fouls, and (d) secured greater field goal, three-point, and free-throw shooting percentage. Moreover, the top three performance parameters discriminating winning from losing game outcomes were field goal percentage, defensive rebounds, and assists, accounting for 16.8%, 12.2%, and 12.0% of the total percentage of explained variance, respectively (i.e., 41.0% combined). Overall, these findings support the expected roles of offensive and defensive game-related statistics and provide further insight into how they work together to optimize the chances of securing the desired game outcome.
摘要:
本研究的目的是研究获胜和失败的比赛结果之间与比赛相关的统计数据的差异,并确定在美国大学体育协会(NCAA)Division-I比赛中,哪些性能参数对从失败的比赛结果中获胜的影响最大。男子的篮球水平。数据抓取技术用于获取2018-2019赛季的公开数据。检查的游戏总数为5,147。使用独立的t检验来检查输赢游戏结果之间的统计学上的显着差异,同时使用全模型判别函数分析来确定每个游戏相关统计量的相对贡献及其对输赢游戏结果进行分类的能力(p<0.05)。除了在比赛结束时得分更多,本研究的结果表明,获胜团队:(A)尝试并取得更多的射门得分,三点,和罚球,(b)累积更多的防守和总篮板,助攻,偷窃,和街区,(c)失误和个人犯规较少,和(d)确保更大的射门得分,三点,和罚球命中率。此外,区分胜负结果的前三个表现参数是投篮命中率,防守篮板,和助攻,占16.8%,12.2%,以及解释方差总百分比的12.0%,分别(即,合计41.0%)。总的来说,这些发现支持了与进攻和防守游戏相关的统计数据的预期作用,并进一步了解了它们如何协同工作以优化获得所需游戏结果的机会。
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