/ Baseball Analytics & AI Data Product

AiBS / ABS Observatory

A warehouse-backed baseball analytics platform for Automated Ball-Strike challenge analysis, game/team/umpire context, challenge value, reports, leaderboards, and AI-assisted interpretation.

Repo Live All work
AiBS baseball analytics interface

Problem

ABS challenge events create a new analytical layer around timing, overturn probability, umpire/team behavior, pitch state, and game consequence. The product organizes those signals into metrics, reports, and decision-oriented views.

System

Python ETL, PostgreSQL schemas and mart views, Next.js/React/TypeScript product surfaces, polling/backfill/validation scripts, warehouse-serving reconciliation, challenge classification, run/win expectancy baselines, decision value, usage/cost logging, policy checks, and admin review surfaces.

Evidence

SQL martsChallenge valueAI-assisted interpretation

Stack

Python, PostgreSQL, SQL, Next.js, React, TypeScript, ETL, OpenAI API, Vitest, Playwright.