five

PlayeRanks

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DataCite Commons2020-08-26 更新2024-07-27 收录
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https://figshare.com/articles/PlayeRanks/9361148
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资源简介:
If you use these data cite the following papers: <br><br>- Pappalardo et al., (2019) <b>A public data set of spatio-temporal match events in soccer competitions</b>, Nature Scientific Data 6:236, https://www.nature.com/articles/s41597-019-0247-7<br>- Pappalardo et al. (2019) <b>PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach</b>. ACM Transactions on Intellingent Systems and Technologies (TIST) 10, 5, Article 59 (September 2019), 27 pages. DOI: https://doi.org/10.1145/3343172 <br><br><br>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. <br>Each document in the json file has the following fields:<br>- <b>goalScored</b>: the number of goals scored by the player in the match- <b>playerankScore</b>: the PlayeRank score of the player in the match- <b>matchId</b>: the identifier of the match- <b>playerId</b>: the identifier of the player- <b>roleCluster</b>: the role of player in the match, as computed by the PlayeRank framework - <b>minutesPlayed</b>: the minutes played by the player in the match<br>
提供机构:
figshare
创建时间:
2019-08-08
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