德甲球队价值观:解读表现和经济学的影响
Efehan Ulas1, Christian Deutscher2
1Biostatistics and Medical Informatics, Kirklareli University, Kirklareli, Turkey.
PloS one
|December 2, 2024
概括
这项研究使用绩效,经济和人口统计数据来模拟德国德甲球队的价值. 机器学习揭示了影响数十亿欧元足球行业俱乐部价值的关键因素.
科学领域:
- 体育经济学体育经济学
- 足球中的数据科学
背景情况:
- 足球是一个重要的全球产业,对利益相关者来说,准确的团队估值至关重要.
- 虽然COVID-19大流行导致了暂时的经济衰退,但该行业在财务上仍然稳健.
- 了解团队价值的驱动因素对于战略决策至关重要.
研究的目的:
- 确定和建模德国德甲球队价值的关键决定因素.
- 为团队,投资者和行业利益相关者提供数据驱动的见解.
- 提高对影响足球俱乐部财务表现的因素的理解.
主要方法:
- 利用机器学习算法进行预测建模.
- 采用动态线性方法来分析时间序列数据.
- 综合绩效指标,宏观经济指标和人口统计数据.
主要成果:
- 开发了一个全面的模型来预测德国德甲球队的价值.
- 确定了基于绩效的重要经济和人口因素.
- 量化了各种决定因素对团队财务价值的影响.
结论:
- 该模型为球场内外球队的表现提供了有价值的见解.
- 调查结果支持在竞争激烈的足球市场中做出知情决策.
- 突出了推动足球队估值的因素的复杂相互作用.
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