Implementation and Analysis of a Football Match Analysis Program (via Tabular Data)

Mulia, Shafa Kirana and Rajariandhana, Ralfazza (2026) Implementation and Analysis of a Football Match Analysis Program (via Tabular Data). Project Report. [s.n.], [s.l.]. (Unpublished)

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Abstract

This practical work project develops a prototype system for football player analysis and recommendation using tabular performance data. The system applies the K-Nearest Neighbors method to identify players whose profiles match a team’s requirements and uses the VAEP framework to evaluate offensive and defensive contributions. The workflow includes dataset preparation, VAEP computation, feature aggregation, and a recommendation module that matches player and team vectors based on similarity. The evaluation shows that the feature space naturally forms two performance tiers with an optimal clustering at k = 2, supporting the use of Euclidean distance as a similarity measure. Analysis of cluster alignment indicates that the system can suggest both close profile matches and higher-potential upgrade candidates. Overall, the evaluation focuses on verifying the structure of the feature space and the suitability of the chosen similarity metric for producing meaningful recommendations.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Football Analytics, VAEP, KNN, Similarity Matching, Recommendation System
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Industrial Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Shafa Kirana Mulia
Date Deposited:	13 Jan 2026 04:03
Last Modified:	13 Jan 2026 04:03
URI:	http://repository.its.ac.id/id/eprint/129533

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