A full baseball analytics dashboard designed for CPBL fans, scouts, and analysts. Features include real-time scraping, dynamic statistics pages, player trends, API integration, and advanced data visualization. Built with modular front-end components and optimized JSON pipelines for fast loading.
ProBall Analytics is a long-term development initiative focusing on building a complete
baseball information system for CPBL. The platform integrates multiple systems:
• **Static data processing pipeline** using Python (XML → JSON → Supabase)
• **Dynamic scraping engine** for real-time matchup and player updates
• **Full front-end architecture** built with modular JS, reusable UI patterns, and
performance-optimized rendering
• **Data visualizations** including trend charts, histograms, and comparison diagrams
The system is designed for scalability, supporting future expansion into mobile apps, AI-driven chat assistants, and predictive models. This project showcases both engineering depth—data pipelines, automation, API routes—and design consistency through a clean user interface.
You can explore progress updates, demos, and detailed documentation through the project page. The goal is to provide one of the most complete independent CPBL analytics platforms built at a university level.
This video demonstrates a preview showcase of the ProBall Analytics project, including UI navigation, data visualization, and user workflow examples.
Watch the clip to get a quick overview of the main features and visual design.
Personal notes and past homework from school during University
Some respository are being stored here. Past-project if kept are usually in notions or Colab
Beyond coding, I enjoy learning languages, contributing to open-source projects, and building data tools that inspire others.