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Journals / Scientific Journal of Mehmet Akif Ersoy University / 2022 / Cilt: 5 - Sayı: 2

A Survey on Football Player Performance and Value Estimation Using Machine Learning Techniques

Vehbi Hakan SAYAN
Emrah HANÇER
Pages
57–62
Publication Date
2022-12-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As far as we know, there is no survey in the literature that specifically addresses this topic.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The popularity of games like FIFA and Football Manager has attracted millions of players.
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Key Findings & Data:In this study, we introduce a survey of studies which focus on the prediction of player value/performance using machine learning techniques.
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Conclusion & Impact:As far as we know, there is no survey in the literature that specifically addresses this topic.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Football Video Games · FIFA · Football Manager

Abstract

The popularity of games like FIFA and Football Manager has attracted millions of players. Data plays an increasingly prominent role in these games. In other words, these games contain data from all soccer players worldwide, which can be used to simulate soccer games. Therefore, a lot of experts and a lot of tools are involved in producing football data. It is not only the production of this data that has attracted researchers, but also the analysis of it since useful and consistent information can be extracted from it to design real-world football applications. In this study, we introduce a survey of studies which focus on the prediction of player value/performance using machine learning techniques. As far as we know, there is no survey in the literature that specifically addresses this topic.

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Cite This Article

SAYAN, V. H., HANÇER, E. (2022). A Survey on Football Player Performance and Value Estimation Using Machine Learning Techniques. Scientific Journal of Mehmet Akif Ersoy University, Cilt: 5 - Sayı: 2, 57–62. https://ajindex.com/articles/870542

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References (1)

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