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Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data

机译:足球性能分析:使用RoboCup数据的基于笛卡尔坐标的方法

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摘要

In soccer, like in business, results are often the best indicator of a team’s performance in a certain competition but insufficient to a coach to asses his team performance. As a consequence, measurement tools play an important role in this particular field. In this research work, a performance tool for soccer, based only in Cartesian coordinates is presented. Capable of calculating final game statistics, suisber of shots, the calculus methodology analyzes the game in a sequential manner, starting with the identification of the kick event (the basis for detecting all events), which is related with a positive variation in the ball’s velocity vector. The achieved results were quite satisfactory, mainly due to the number of successfully detected events in the validation process (based on manual annotation). For the majority of the statistics, these values are above 92% and only in the case of shots do these values drop to numbers between 74 and 85%. In the future, this methodology could be improved, especially regarding the shot statistics, integrated with a real-time localization system, or expanded for other collective sports games, such as hockey or basketball.
机译:在足球比赛中,就像在商业比赛中一样,成绩通常是球队在某些比赛中表现的最佳指标,但不足以评估教练的表现。因此,测量工具在该特定领域中发挥着重要作用。在这项研究工作中,提出了仅基于笛卡尔坐标的足球性能工具。演算方法能够计算最终比赛的统计数据和击球次数,从识别踢球事件(检测所有事件的基础)开始,以顺序的方式分析比赛,这与球速度的正变化有关向量。获得的结果相当令人满意,主要是由于在验证过程中成功检测到事件的数量(基于手动注释)。对于大多数统计数据,这些值都高于92%,只有在拍摄时,这些值才会降至74%至85%之间的数字。将来,可以改进这种方法,特别是在击球统计方面,可以与实时本地化系统集成在一起,或者可以扩展到其他集体体育游戏,例如曲棍球或篮球。

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