PlayeRanks

Figshare2019-10-28 更新2026-04-08 收录

足球球员表现评估

球员分析

数据链接：

https://figshare.com/articles/PlayeRanks/9361148/1 数据链接链接失效反馈

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资源简介：

If you use these data cite the following papers: - Pappalardo et al., (2019) A public data set of spatio-temporal match events in soccer competitions, Nature Scientific Data 6:236, https://www.nature.com/articles/s41597-019-0247-7 - Pappalardo et al. (2019) PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. ACM Transactions on Intellingent Systems and Technologies (TIST) 10, 5, Article 59 (September 2019), 27 pages. DOI: https://doi.org/10.1145/3343172 The PlayeRank score of the players in the matches they played. The PlayeRank score indicate, in a range from 0 to 1, how good was that player in that match (0 unforgettably bad, 1 amazing). The score have been computed using the PlayeRank framework, if you use these data please cite the following paper: https://arxiv.org/abs/1802.04987. Each document in the json file has the following fields: - goalScored: the number of goals scored by the player in the match- playerankScore: the PlayeRank score of the player in the match- matchId: the identifier of the match- playerId: the identifier of the player- roleCluster: the role of player in the match, as computed by the PlayeRank framework - minutesPlayed: the minutes played by the player in the match

若使用本数据集，请引用以下论文： - Pappalardo 等人（2019）发表于《Nature Scientific Data》的论文《A public data set of spatio-temporal match events in soccer competitions》，中文译名为《足球赛事时空比赛事件公开数据集》，期刊卷6，文章编号236，链接：https://www.nature.com/articles/s41597-019-0247-7 - Pappalardo 等人（2019）的论文《PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach》，中文译名为《PlayeRank：基于机器学习方法的数据驱动足球运动员表现评估与排名》，发表于ACM Transactions on Intelligent Systems and Technologies (TIST)，第10卷第5期，第59篇文章（2019年9月），共27页，DOI：https://doi.org/10.1145/3343172 本数据集收录了球员在其参赛场次中的PlayeRank评分（PlayeRank score）。该评分取值范围为0至1，用于表征该球员在对应场次中的表现优劣：0代表表现极差，1代表表现极佳。该评分通过PlayeRank框架（PlayeRank framework）计算得到，若使用该评分相关数据，请引用以下论文：https://arxiv.org/abs/1802.04987. JSON文件中的每个文档包含以下字段： - goalScored：球员在本场赛事中的进球数 - playerankScore：球员在本场赛事中的PlayeRank评分 - matchId：赛事的唯一标识符 - playerId：球员的唯一标识符 - roleCluster：由PlayeRank框架计算得到的球员本场比赛的场上位置 - minutesPlayed：球员在本场赛事中的上场时长

创建时间：

2019-08-08

PlayeRanks

资源简介：

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