Sports analytics: Designing a volleyball game analysis decision-support tool using big data

机译：体育分析：使用大数据设计排球比赛分析决策支持工具

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From 2006–2012, George Mason University's (GMU) division I men's and women's volleyball teams were outplayed by their top competitors within their associated conference. Analysis of historic data showed that the GMU's men's and women's volleyball teams have a lower probability of scoring points on average of 0.21 and 0.05 respectively. The win/loss outcome is a function of the combinations of sequences of events caused by team's actions and coach's tactics.

机译：从2006年至2012年，乔治梅森大学（GMU）第一分队的男子和女子排球队在相关会议上的表现都超过了他们的顶级竞争对手。对历史数据的分析表明，GMU的男子和女子排球队得分的概率较低，分别平均为0.21和0.05。赢/输结果是由团队的动作和教练的战术引起的一系列事件的组合的函数。

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《IEEE Systems and Information Engineering Design Symposium》|2013年|19-24|共6页
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Almujahed Sarah; Ongor Nicole; Tigmo John; Sagoo Navjot;
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Sports analytics: Designing a volleyball game analysis decision-support tool using big data

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