feat(scripts): complete data pipeline remediation

Scripts changes:
- Add WNBA abbreviation aliases to team_resolver.py
- Fix NHL stadium coordinates in stadium_resolver.py
- Add validate_aliases.py script for orphan detection
- Update scrapers with improved error handling
- Add DATA_AUDIT.md and REMEDIATION_PLAN.md documentation
- Update alias JSON files with new mappings

iOS bundle updates:
- Update games_canonical.json with latest scraped data
- Update teams_canonical.json and stadiums_canonical.json
- Sync alias files with Scripts versions

All 5 remediation phases complete.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Scripts/sportstime_parser/scrapers/nhl.py

@@ -531,6 +531,16 @@ class NHLScraper(BaseScraper):
 
             stadium_id = stadium_result.canonical_id
 
+        # Fallback: Use home team's default stadium if no venue provided
+        # This is common for Hockey-Reference which doesn't have venue data
+        if not stadium_id:
+            home_team_data = TEAM_MAPPINGS.get("nhl", {})
+            home_abbrev = self._get_abbreviation(home_result.canonical_id)
+            for abbrev, (team_id, _, _, default_stadium) in home_team_data.items():
+                if team_id == home_result.canonical_id:
+                    stadium_id = default_stadium
+                    break
+
         # Get abbreviations for game ID
         home_abbrev = self._get_abbreviation(home_result.canonical_id)
         away_abbrev = self._get_abbreviation(away_result.canonical_id)