Add uncaptured fields analysis document for data extraction

[dcaribou]

Summary

This PR adds a comprehensive analysis document (UNCAPTURED_FIELDS.md) that catalogs available data fields across all currently scraped Transfermarkt pages, comparing what is currently being extracted versus what could be captured with minimal additional effort.

Changes

• New document: UNCAPTURED_FIELDS.md - A detailed analysis covering 6 page types (Competitions, Clubs, Players, Appearances, Games, Game Lineups) with:
  • Currently captured fields for each page type
  • Uncaptured fields available on those pages with extraction notes
  • Impact assessment (number of new fields per item)
  • Effort estimation for implementation
  • Prioritized recommendations for future enhancement

Key Insights

The analysis identifies approximately 60-90 new fields that could be extracted from pages already being visited by the scraper:

• Competitions: 5-8 new fields (competition name, logo, flags, tier level)
• Clubs: 13-18 new fields (founding date, address, website, colors, coach profile link)
• Players: 15-21 new fields (transfer history, injury history, multiple citizenships, achievements)
• Appearances: 7-13 new fields (GK-specific stats, substitution details, status indicators)
• Games: 12-19 new fields (half-time score, formations, kick-off time, missed penalties)
• Game Lineups: 8-11 new fields (player age/nationality/market value at match time)

Purpose

This document serves as a planning resource for prioritizing future enhancements to maximize data extraction from pages already being crawled, with recommended priority order based on value-add and implementation effort.

https://claude.ai/code/session_01Bz9tiNptq4QkyM6DA2eBTC