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本文引用的文献

1
Prior shared success predicts victory in team competitions.先前的共同成功预测了团队竞赛的胜利。
Nat Hum Behav. 2019 Jan;3(1):74-81. doi: 10.1038/s41562-018-0460-y. Epub 2018 Dec 3.
2
How Team Interlock Ecosystems Shape the Assembly of Scientific Teams: A Hypergraph Approach.团队互锁生态系统如何塑造科学团队的组建:一种超图方法
Commun Methods Meas. 2018;12(2-3):174-198. doi: 10.1080/19312458.2018.1430756. Epub 2018 Feb 20.
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The too-much-talent effect: team interdependence determines when more talent is too much or not enough.高能力者悖论:团队相互依赖决定了高能力者是多了还是不够。
Psychol Sci. 2014 Aug;25(8):1581-91. doi: 10.1177/0956797614537280. Epub 2014 Jun 27.
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The analysis of count data: a gentle introduction to poisson regression and its alternatives.计数数据的分析:泊松回归及其替代方法简介
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Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects.指数族随机图模型的规范:术语与计算方面
J Stat Softw. 2008;24(4):1548-7660. doi: 10.18637/jss.v024.i04.
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Advances in Exponential Random Graph (p*) Models Applied to a Large Social Network.应用于大型社交网络的指数随机图(p*)模型的进展
Soc Networks. 2007 May;29(2):231-248. doi: 10.1016/j.socnet.2006.08.001.

与前队友竞争预示着团队胜利。

Competing Against Former Teammates Predicts Team Victory.

作者信息

Mukherjee Satyam, Huang Yun, Uzzi Brian, Contractor Noshir

机构信息

School of Management and Entrepreneurship, Shiv Nadar University, Greater Noida, India.

Department of Industrial Engineering & Management Sciences, Northwestern University.

出版信息

Sports Econ Rev. 2024 Dec;8. doi: 10.1016/j.serev.2024.100043. Epub 2024 Oct 2.

DOI:10.1016/j.serev.2024.100043
PMID:39534577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11551479/
Abstract

The small but growing body of research on team vs. team competition focuses on predicting the winner based on multilevel factors, including the team's strength and prior relations among team members within a team. Our research demonstrates the significance and power of prior relations among members between competing teams in predicting the outcome of a contest. Leveraging data over 8 seasons of the Indian Premier League (IPL), we demonstrate the effects of competing against former teammates on a team's victory in IPL matches. If two teams, A and B, are competing in a match, and n players from A are former teammates of players on B and n players from B are former teammates of players on A, then if team A has smaller values of n, it will have a competitive advantage over Team B with a higher value of n We call the magnitude of the difference of n and n the "ecosystem" factor in predicting performance. Using regression and stochastic network models, we find that the ecosystem factor significantly impacts the outcome of a match. Our findings have implications for franchise owners. While recruiting a player, franchise owners should not rely solely on the player's ability but also leverage the rivalry between former teammates.

摘要

关于团队与团队之间竞争的研究虽然规模较小但在不断发展,其重点是基于多层次因素预测比赛获胜者,这些因素包括团队实力以及团队内部成员之间的先前关系。我们的研究证明了竞争团队成员之间的先前关系在预测比赛结果方面的重要性和影响力。利用印度板球超级联赛(IPL)八个赛季的数据,我们展示了与前队友竞争对团队在IPL比赛中获胜的影响。如果A队和B队在一场比赛中竞争,A队中有n名球员是B队中球员的前队友,B队中有n名球员是A队中球员的前队友,那么如果A队的n值较小,它将比n值较高的B队具有竞争优势。我们将n与n的差值大小称为预测比赛表现的“生态系统”因素。通过回归分析和随机网络模型,我们发现生态系统因素对比赛结果有显著影响。我们的研究结果对球队老板有启示意义。在招募球员时,球队老板不应仅依赖球员的能力,还应利用前队友之间的竞争关系。