five

PlayeRanks

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://figshare.com/articles/dataset/PlayeRanks/9361148
下载链接
链接失效反馈
官方服务:
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
创建时间:
2019-08-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作