Machine Learning-Based Classification of Team Playoff Advancement Using Pitching Performance Metrics in Korean Professional Baseball

This study develops and evaluates machine learning models for classifying Korean Baseball Organization (KBO) playoff advancement using pitching metrics from 2015 to 2024 (N = 100 team-seasons), focusing specifically on pitching’s contribution to playoff qualification to address the ERA-FIP paradox a...

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Detalles Bibliográficos

Principais autores:	Jung-Sup Bae, Bryan Weisheng Chiu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-02-01
Series:	Applied Sciences
Assuntos:	machine learning KBO league postseason classification pitching statistics sabermetrics retrospective analysis
Acceso en liña:	https://www.mdpi.com/2076-3417/16/5/2215
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