The application of advanced data analytics to predict rugby match outcome in the PRO14 league. FUNDING PROVIDER(S)

应用先进的数据分析来预测 PRO14 联赛的橄榄球比赛结果。

• 批准号: 2573163
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2573163
• 关键词: application; advanced; data; analytics; predict

The aim of this PhD project is to investigate whether match performance indicators (PIs) are effective at predicting match outcomes at the elite rugby union level in the PRO14. The candidate will review current match performance indicators and apply these to legacy data from our project partner, Ospreys rugby, to retrospectively establish their efficacy in match prediction. The legacy data comprises individual athlete, team, strategy and wellness information. This data will be augmented over the duration of the PhD by the inclusion of head impact loading data, collected by the student, allowing a new generation of PIs to be established and verified across PRO14 seasons 21-22 and 22-23.

这个博士项目的目的是调查是否匹配性能指标（PI）是有效的预测比赛结果在精英橄榄球联盟的PRO 14水平。候选人将审查当前的比赛性能指标，并将其应用于我们的项目合作伙伴Ospreys rugby的遗留数据，以回顾性地确定其在比赛预测中的有效性。传统数据包括个人运动员、团队、策略和健康信息。这些数据将在博士期间通过纳入学生收集的头部冲击载荷数据来增强，允许在PRO 14第21-22季和第22-23季建立和验证新一代PI。