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An interactive dashboard for searching and comparing soccer performance scores

arXiv 2105.04293 ↗First posted 16 Apr 2021cs.HC cs.AI cs.IRcited by 0

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Abstract (arXiv)

The performance of soccer players is one of most discussed aspects by many actors in the soccer industry: from supporters to journalists, from coaches to talent scouts. Unfortunately, the dashboards available online provide no effective way to compare the evolution of the performance of players or to find players behaving similarly on the field. This paper describes the design of a web dashboard that interacts via APIs with a performance evaluation algorithm and provides graphical tools that allow the user to perform many tasks, such as to search or compare players by age, role or trend of growth in their performance, find similar players based on their pitching behavior, change the algorithm's parameters to obtain customized performance scores. We also describe an example of how a talent scout can interact with the dashboard to find young, promising talents.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 6 references that are in the map. First posted on arXiv 16 Apr 2021.

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2 of 6 references.

References · 2

  1. 2018PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approachcited by 10
  2. 2017Quantifying the relation between performance and success in soccercited by 3

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