{"title":"Competing against former teammates predicts team victory","authors":"","doi":"10.1016/j.serev.2024.100043","DOIUrl":null,"url":null,"abstract":"<div><div>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<sub>A</sub> players from A are former teammates of players on B and n<sub>B</sub> players from B are former teammates of players on A, then if team A has smaller values of n<sub>A</sub>, it will have a competitive advantage over Team B with a higher value of n<sub>B.</sub> We call the magnitude of the difference of n<sub>A</sub> and n<sub>B</sub> 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.</div></div>","PeriodicalId":101182,"journal":{"name":"Sports Economics Review","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Economics Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277316182400020X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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 nA players from A are former teammates of players on B and nB players from B are former teammates of players on A, then if team A has smaller values of nA, it will have a competitive advantage over Team B with a higher value of nB. We call the magnitude of the difference of nA and nB 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.
关于团队与团队竞争的研究虽然为数不多,但却在不断增加,研究重点是根据多层次因素预测胜负,这些因素包括团队实力和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威力。利用印度超级联赛(IPL)8 个赛季的数据,我们证明了与前队友竞争对球队在 IPL 比赛中获胜的影响。如果两支球队(A 和 B)在一场比赛中竞争,A 队中有 nA 名球员是 B 队球员的前队友,B 队中有 nB 名球员是 A 队球员的前队友,那么如果 A 队的 nA 值较小,就会比 nB 值较高的 B 队更具竞争优势。我们将 nA 和 nB 的差值大小称为预测成绩的 "生态系统 "因素。利用回归和随机网络模型,我们发现生态系统因素对比赛结果有显著影响。我们的研究结果对特许经营店主有一定的启示。在招募球员时,专营权所有者不应只依赖球员的能力,还应充分利用前队友之间的竞争关系。