An Implementation Method of Geometric Analysis System for Football

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Authors: Naoki Ishibashi
Cited by: 0

Abstract

Applications of data science to football are blooming such as to calculate prediction of matches by applying machine learning. In this paper, we propose an implementation method of geometric analysis system for football that converts an actual coordinate data set into the system to geometrically calculate indicators describing game dynamism. The purpose of this project is to design and implement a system that dynamically extract knowledge of football in visible form. As an example of the indicators, Shooting Degree Value, SDV, is defined and implemented, and an example study is illustrated with the prototype system and an actual data set of J.LEAGUE.

Fields of Study & Subjects

Sports Analytics and Performance Sports Performance and Training Data Mining and Machine Learning Applications

Publication details

Journal / source
Frontiers in artificial intelligence and applications
Publication date
12 February 2026
Language
EN
Document type
Book chapter