统一足球比赛数据格式,让多源数据轻松互通。
Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer)
- 设计标准化的五类足球数据结构,包括事件与追踪数据
- 明确数据来源与上下文,确保可理解性与完整性
- 适合俱乐部、联赛和分析公司快速对接数据
足球比赛中,不同机构采集的数据类型、格式和交付方式各异,导致分析困难且成本高昂。本文提出通用数据格式(CDF),为比赛信息、视频、事件、追踪及元数据五类数据定义统一标准。该格式明确数据来源、结构清晰、内容完整,支持常见下游分析任务。文中详述技术规范与实现方案,发布版本为1.0.0,旨在降低数据整合门槛。
原文摘要 · Abstract (English)
During football matches, a variety of different parties (e.g., companies) each collect (possibly overlapping) data about the match ranging from basic information (e.g., starting players) to detailed positional data. This data is provided to clubs, federations, and other organizations who are increasingly interested in leveraging this data to inform their decision making. Unfortunately, analyzing such data pose significant barriers because each provider may (1) collect different data, (2) use different specifications even within the same category of data, (3) represent the data differently, and (4) delivers the data in a different manner (e.g., file format, protocol). Consequently, working with these data requires a significant investment of time and money. The goal of this work is to propose a uniform and standardized format for football data called the Common Data Format (CDF). The CDF specifies a minimal schema for five types of match data: match sheet data, video footage, event data, tracking data, and match meta data. It aims to ensure that the provided data is clear, sufficiently contextualized (e.g., its provenance is clear), and complete such that it enables common downstream analysis tasks. Concretely, this paper will detail the technical specifications of the CDF, the representational choices that were made to help ensure the clarity of the provided data, and a concrete approach for delivering data in the CDF. This represents Version 1.0.0 of the CDF.
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