决策支持系统:量化每日奇幻体育中的技巧和机会

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2024-05-07 DOI:10.1016/j.dss.2024.114237
Aishvarya , Tirthatanmoy Das , U. Dinesh Kumar
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引用次数: 0

摘要

我们探讨了 "每日幻想体育"(Daily Fantasy Sports,简称 DFS)中的技能与机会主导问题,该问题一直是世界各地众多法律纠纷的主题。我们的研究利用基于板球的每日幻想比赛数据和真实固定效应随机前沿模型,考察了参赛者在 DFS 中的获胜能力是否受到反映技能的因素的影响。我们发现,技能在五个方面极大地影响了胜率。首先,过去表现出色的参赛者现在表现更好。第二,获得更多比赛经验会提高表现。第三,最近参加过比赛的参赛者往往表现出更高的胜算。第四,选择合适的比赛类型会提高胜算。第五,较大的估计信噪比表明,以非负误差衡量的非观察技能对胜算的影响远远大于常规的双面随机冲击。这些结果对不同的规格和数据子集都是稳健的。决策者和监管者可以利用本研究提出的模型来区分技能主导型 DFS 和机会主导型 DFS。
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Decision support system for policy-making: Quantifying skill and chance in daily fantasy sports

We explore the question of skill versus chance dominance in Daily Fantasy Sports (DFS), which has been the subject of numerous legal disputes around the world. Our study examines whether a contestant's winnability in DFS is influenced by factors reflecting skills using cricket-based daily fantasy contest data and a true fixed effects stochastic frontier model. We find that skill contributes significantly towards winnability in five ways. First, contestants performing well in the past do better in the present. Second, gaining more game experiences improves performance. Third, contestants who participated recently, tend to exhibit higher winnability. Fourth, selecting an appropriate contest type enhances winnability. Fifth, the large estimated signal-to-noise ratio indicates that the unobserved skill measured by a non-negative error has a much greater impact on winnability than the regular two-sided random shocks. These results are robust to varying specifications and subsets of data. Decision makers and regulators can use the model presented in the study to distinguish skill-dominant DFS from chance-dominant DFS.

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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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