From core to peripheral: A network analysis of lineup types in NBA playoff teams

Q1 Mathematics
Tianxiao Guo , Yixiong Cui , Christophe Ley , Wenjie Zhang , Yanfei Shen , Jing Mi , Chengyi Zhang
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引用次数: 0

Abstract

This study aims to identify the types of lineups based on their topological structure within a lineup network and to explore the relationship between lineup types and team standings during 10 NBA playoff seasons from 2012-2013 season to 2021-2022 season. A total of 15,699 lineups from 1,655 playoff games were collected to construct lineup networks. Three roles of the lineup, called core, connector and peripheral lineups, were found through community detection and unsupervised clustering of within-community degree, participation coefficient, and playing time. The percentage presence of connector lineups showed a positive correlation with the number of playoff wins (r = 0.45, p < 0.001), while peripheral lineups demonstrated a negative correlation (r = −0.33, p < 0.001). Additionally, the study found that connector lineups were more frequently reused than peripheral lineups (H = −14.90, p < 0.001) and that stronger teams exhibited lower conserved rates of all kinds of lineups. The collective performance was found to be more dependent on connector lineups (H = 926.42, p < 0.001) than peripheral lineups (H = 3342.63, p < 0.001). This study is the first to provide insights into the global lineup roles within season-scale lineup structures, offering generalizable suggestions for optimizing rotations. These suggestions advocate for the inclusion of more connector lineups and versatile players, and a reduction in the reuse rate of lineups, especially those classified as peripheral.

从核心到边缘:NBA 季后赛球队阵容类型的网络分析
本研究旨在根据阵容网络中的拓扑结构识别阵容类型,并探讨从2012-2013赛季到2021-2022赛季的10个NBA季后赛赛季中阵容类型与球队排名之间的关系。研究共收集了 1,655 场季后赛中的 15,699 个阵容,构建了阵容网络。通过社群检测和对社群内程度、参与系数和上场时间的无监督聚类,发现了阵容的三种角色,即核心阵容、连接器阵容和外围阵容。连接器阵容出现的百分比与季后赛胜场数呈正相关(r = 0.45,p < 0.001),而外围阵容则呈负相关(r = -0.33,p < 0.001)。此外,研究还发现,连接器阵容比外围阵容更常被重用(H = -14.90,p <0.001),而强队的各种阵容的保留率更低。研究发现,与外围阵容(H = 3342.63,p <0.001)相比,集体表现更依赖于连接器阵容(H = 926.42,p <0.001)。本研究首次对赛季规模阵容结构中的整体阵容作用进行了深入分析,为优化轮换提供了可推广的建议。这些建议主张加入更多的连接器阵容和多面手,并降低阵容的重复利用率,尤其是那些被归类为边缘阵容的球员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos, Solitons and Fractals: X
Chaos, Solitons and Fractals: X Mathematics-Mathematics (all)
CiteScore
5.00
自引率
0.00%
发文量
15
审稿时长
20 weeks
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