Temporal Match Analysis and Recommending Substitutions in Live Soccer Games

Yuval Berman, Sajib Mistry, Joby Mathew, Aneesh Krishna

Research output: Chapter in Book/Conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

Soccer is one of the most complex and dynamic games. It is challenging to figure out the game's pattern in real-time. We propose a novel network metric and entropy-based live soccer analytic framework (NMELSA) that identifies the opponent team's tactics in a live soccer match by observing all the events until the specified minute of the game. We design a live game replacement model which recommends substitute players based on the on-field players' live game ratings. Experimental results on a real-world dataset demonstrate the efficiency of our proposed approach.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Web Services, ICWS 2022
EditorsClaudio Agostino Ardagna, Nimanthi Atukorala, Boualem Benatallah, Athman Bouguettaya, Fabio Casati, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Chirine Ghedira Guegan, Robert Ward, Fatos Xhafa, Xiaofei Xu, Jia Zhang
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages397-404
Number of pages8
ISBN (Electronic)9781665481434
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Web Services, ICWS 2022 - Barcelona, Spain
Duration: 11 Jul 202215 Jul 2022

Publication series

NameProceedings - IEEE International Conference on Web Services, ICWS 2022

Conference

Conference2022 IEEE International Conference on Web Services, ICWS 2022
Country/TerritorySpain
CityBarcelona
Period11/07/2215/07/22

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