利用网络图形和关联规则发现无网篮球的比赛模式

Q2 Computer Science
Peter R Browne, S. Morgan, J. Bahnisch, Samuel Robertson
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引用次数: 6

摘要

摘要在无网篮球中,对球员和球在不同球场位置的运动进行分析,可以提供隐藏的趋势信息。本研究旨在开发一种发现女子无网篮球潜在传球模式的方法。传球位置和比赛位置的数据都是从2016年跨塔斯曼网球锦标赛赛季和2017年澳大利亚国家网球联赛的选定比赛中的中心传球中收集的。基序分析用于表征通过序列观察。这表明,中心传球最常见、最连续的传球方式是字母系统中的“ABCD”主题,或位置系统“中心-进球进攻-侧翼进攻-进球射手”中的“abD”主题。关联规则挖掘用于识别中心传球中频繁的球移动序列。最有信心的规则在球场的右手边流动,然而,十条最有信心规则中有七条表明,他们更喜欢在球场的左手边移动球。这些结果可以提供对传球顺序的客观见解,并有可能为球队的战略和战术提供信息。这种方法也可以推广到其他入侵运动中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovering patterns of play in netball with network motifs and association rules
Abstract In netball, analysis of the movement of players and the ball across different court locations can provide information about trends otherwise hidden. This study aimed to develop a method to discover latent passing patterns in women’s netball. Data for both pass location and playing position were collected from centre passes during selected games in the 2016 Trans-Tasman Netball Championship season and 2017 Australian National Netball League. A motif analysis was used to characterise passing-sequence observations. This revealed that the most frequent, sequential passing style from a centre pass was the “ABCD” motif in an alphabetical system, or in a positional system “Centre–Goal Attack–Wing Attack–Goal Shooter” and rarely was the ball passed back to the player it was received from. An association rule mining was used to identify frequent ball movement sequences from a centre pass play. The most confident rule flowed down the right-hand side of the court, however seven of the ten most confident rules demonstrated a preference for ball movement down the left-hand side of the court. These results can offer objective insight into passing sequences, and potentially inform team strategy and tactics. This method can also be generalised to other invasion sports.
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来源期刊
International Journal of Computer Science in Sport
International Journal of Computer Science in Sport Computer Science-Computer Science (all)
CiteScore
2.20
自引率
0.00%
发文量
4
审稿时长
12 weeks
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