对于团队球运动的比赛比分数据集
Thaksheel Alleck1, Tommaso Giovannelli1, Luis Nunes Vicente1
1Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.
Data in brief
|July 15, 2024
概括
这篇数据文章介绍了12项体育运动的国际球队体育比赛得分的综合数据集. 研究人员可以使用这些体育分析数据来分析团队表现并构建预测模型.
科学领域:
- 运动分析 运动分析
- 数据科学数据科学数据科学
- 计算统计学 计算统计学
背景情况:
- 在12个球队运动中的国际比赛产生了大量的比赛数据.
- 现有的数据集可能缺乏全面覆盖或可用于高级分析的可访问性.
- 体育分析研究需要强大的数据来评估和预测表现.
研究的目的:
- 为了呈现国际球队体育比赛得分的新型数据集.
- 为研究人员提供可访问的数据,用于体育分析应用.
- 促进新分析模型和绩效指标的开发.
主要方法:
- 从维基百科通过网络取数据收集数据.
- 提取比赛细节,包括球队,得分和获胜者.
- 汇编了12个受欢迎的团队球运动的数据.
主要成果:
- 一个精心策划的数据集,包含来自主要国际比赛的比赛得分.
- 数据包括每场比赛的年份,对手队伍,得分和获胜队伍.
- 该数据集涵盖篮球,足球,冰球等.
结论:
- 这一数据集是体育分析的宝贵资源.
- 能够计算团队统计,排名和绩效趋势分析.
- 支持预测模型和机器学习算法评估的开发.
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