# Project Milestones: SportsTime

## v1.0 Data Pipeline (Shipped: 2026-01-10)

**Delivered:** Complete Python data pipeline with sport-organized modules, full stadium database, alias systems, and CloudKit CRUD operations for the SportsTime iOS app.

**Phases completed:** 1-7 (+ 2.1 inserted) — 15 plans total

**Key accomplishments:**

- Reorganized monolithic scripts into 7 sport modules (mlb.py, nba.py, nhl.py, nfl.py, mls.py, wnba.py, nwsl.py)
- Built complete stadium database with 148 venues across all 7 sports with verified coordinates
- Implemented team and stadium alias systems for cross-source name variations
- Added full CloudKit CRUD with diff reporting, smart sync, and orphan detection
- Created comprehensive validation with health scores and completeness metrics
- Reduced scrape_schedules.py orchestrator from 3359 to 733 lines (78% reduction)

**Stats:**

- 15 plans executed across 8 phases
- ~12,000 lines of Python
- 92 minutes total execution time (6.1 min average per plan)
- 2 days from start to ship (2026-01-09 → 2026-01-10)

**Git range:** `feat(01-01)` → `docs(07-01)`

**What's next:** iOS app improvements — IAP, UI/UX, testing

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