Constellation of Football Players Determination Based on Cost and Performance History Using the K-Means Clustering

Prasetyo, Eko and Priyatama, Almendaris Shandy and Setyatama, Fardanto Constellation of Football Players Determination Based on Cost and Performance History Using the K-Means Clustering. Jurnal Teknologi Informasi & Komunikasi Digital Zone, 14 (2). pp. 194-205. ISSN 2477-3255

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Abstract

Determining the constellation of football players determines a team's success when competing on the field. Disassembling players is an option that must be made considering performance history and costs. This research experiments with K-Means to automate the search for groups of players based on performance and price history. Grouping can achieve a constellation of players with high-performance characteristics but at an affordable price. The dataset used in this research is 580 football players for the 2022/2023 season from Sofifa, Fbref, and SofaScore. The data is divided into four player positions: goalkeeper, defender, midfielder, and attacker. Data for each position is grouped into 3 clusters. Each cluster is analyzed to obtain dominant performance indicator values and determine the characteristics of the cluster. Experimental results using K-Means show that cluster 1 is a team with medium player prices but low performance. Cluster 2 has the cheapest price but with the best performance. Meanwhile, cluster 3 is the most expensive but perform similarity to cluster 2

Item Type: Article
Uncontrolled Keywords: constellation, soccer player, football, k-means, performance indicator, transfer cost
Subjects: Technology
Divisions: Faculty of Engineering
Depositing User: Perpus Ubhara Surabaya
Date Deposited: 06 Jun 2024 04:25
Last Modified: 06 Jun 2024 04:25
URI: http://eprints.ubhara.ac.id/id/eprint/2488

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