fix(data): add timezone handling for Sports-Reference scrapers and new stadiums

- Add ET timezone (America/New_York) to all Sports-Reference scrapers:
  - NBA: Basketball-Reference times parsed as ET
  - NFL: Pro-Football-Reference times parsed as ET
  - NHL: Hockey-Reference times parsed as ET
  - MLB: Baseball-Reference times parsed as ET
- Document source timezones in scraper docstrings
- Add 11 new stadiums to STADIUM_MAPPINGS:
  - NFL: 5 international venues (Corinthians Arena, Croke Park,
    Olympic Stadium Berlin, Santiago Bernabéu, Tom Benson Hall of Fame)
  - MLS: 4 alternate venues (Miami Freedom Park, Citi Field,
    LA Memorial Coliseum, M&T Bank Stadium)
  - NWSL: 2 alternate venues (Northwestern Medicine Field, ONE Spokane)
- Add 15 stadium aliases for MLS/NWSL team-based lookups
- Fix CanonicalSyncService to sync timezone identifier to SwiftData
- Update debug logging to use stadium timezone for display

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

Scripts/sportstime_parser/scrapers/nfl.py

@@ -2,6 +2,7 @@
 
 from datetime import datetime, date
 from typing import Optional
+from zoneinfo import ZoneInfo
 from bs4 import BeautifulSoup
 
 from .base import BaseScraper, RawGameData, ScrapeResult
@@ -33,7 +34,12 @@ class NFLScraper(BaseScraper):
     Sources (in priority order):
     1. ESPN API - Most reliable for NFL
     2. Pro-Football-Reference - Complete historical data
-    3. CBS Sports - Backup option
+    3. CBS Sports - Backup option (not implemented)
+
+    Source Timezones:
+    - espn: UTC - ISO 8601 format with "Z" suffix
+    - pro_football_reference: Eastern Time (ET) - times displayed as "8:20PM"
+    - cbs: Not implemented
     """
 
     def __init__(self, season: int, **kwargs):
@@ -323,6 +329,25 @@ class NFLScraper(BaseScraper):
         except ValueError:
             return None
 
+        # Get game start time (format: "8:20PM" or "1:00PM") - times are in ET
+        time_cell = row.find("td", {"data-stat": "gametime"})
+        if time_cell:
+            time_text = time_cell.get_text(strip=True)
+            if time_text:
+                try:
+                    # Parse time like "8:20PM" or "1:00PM"
+                    # Normalize: "8:20PM" -> "8:20 PM"
+                    time_normalized = time_text.replace("PM", " PM").replace("AM", " AM")
+                    game_time = datetime.strptime(time_normalized, "%I:%M %p")
+                    # Combine date and time with ET timezone (Pro-Football-Reference uses ET)
+                    game_date = game_date.replace(
+                        hour=game_time.hour,
+                        minute=game_time.minute,
+                        tzinfo=ZoneInfo("America/New_York"),
+                    )
+                except ValueError:
+                    self._logger.debug(f"Could not parse time: {time_text}, using midnight")
+
         # Get teams
         winner_cell = row.find("td", {"data-stat": "winner"})
         loser_cell = row.find("td", {"data-stat": "loser"})