arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1608.03532cs.AIstat.APstat.ML
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QPass:基于成绩的足球传球评价

QPass: a Merit-based Evaluation of Soccer Passes

Qatar Computing Research Institute, HBKU(卡塔尔计算研究所,哈马德·本·哈利法大学)

Laszlo Gyarmati, Rade Stanojevic

摘要:

足球运动员传球能力的定量分析主要集中在描述性统计上,没有考虑球员对球队传球和控球策略的实际贡献。哪个球员能够帮助建立进攻,或者保持控球?我们引入了一种称为QPass的新方法来定量地回答这些问题。基于对整个赛季的分析,我们使用QPass根据传球的内在价值对球员进行排名。我们推导出不同游戏风格的传球轨迹专辑。我们的方法揭示了一个相当违反直觉的范式:失去控球权可能会导致更好的机会赢得比赛。

英文摘要:

Quantitative analysis of soccer players' passing ability focuses on descriptive statistics without considering the players' real contribution to the passing and ball possession strategy of their team. Which player is able to help the build-up of an attack, or to maintain the possession of the ball? We introduce a novel methodology called QPass to answer questions like these quantitatively. Based on the analysis of an entire season, we rank the players based on the intrinsic value of their passes using QPass. We derive an album of pass trajectories for different gaming styles. Our methodology reveals a quite counterintuitive paradigm: losing the ball possession could lead to better chances to win a game.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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