Remove CFB/NASCAR/PGA and streamline to 8 supported sports

- Remove College Football, NASCAR, and PGA from scraper and app
- Clean all data files (stadiums, games, pipeline reports)
- Update Sport.swift enum and all UI components
- Add sportstime.py CLI tool for pipeline management
- Add DATA_SCRAPING.md documentation
- Add WNBA/MLS/NWSL implementation documentation
- Scraper now supports: NBA, MLB, NHL, NFL, WNBA, MLS, NWSL, CBB

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

Scripts/cloudkit_import.py

@@ -7,24 +7,43 @@ Imports canonical JSON data into CloudKit. Run after canonicalization pipeline.
 Expected input files (from canonicalization pipeline):
   - stadiums_canonical.json
   - teams_canonical.json
-  - games_canonical.json
+  - games_canonical.json OR canonical/games/*.json (new structure)
   - stadium_aliases.json
   - league_structure.json
   - team_aliases.json
 
+File Structure (Option B - by sport/season):
+  data/
+    games/              # Raw scraped games
+      mlb_2025.json
+      nba_2025.json
+      ...
+    canonical/          # Canonicalized data
+      games/
+        mlb_2025.json
+        nba_2025.json
+        ...
+      stadiums.json
+    games_canonical.json      # Combined (backward compatibility)
+    stadiums_canonical.json
+    teams_canonical.json
+
 Setup:
   1. CloudKit Dashboard > Tokens & Keys > Server-to-Server Keys
   2. Create key with Read/Write access to public database
   3. Download .p8 file and note Key ID
 
 Usage:
-  python cloudkit_import.py --dry-run                    # Preview first
-  python cloudkit_import.py --key-id XX --key-file key.p8  # Import all
-  python cloudkit_import.py --stadiums-only ...          # Stadiums first
-  python cloudkit_import.py --games-only ...             # Games after
-  python cloudkit_import.py --stadium-aliases-only ...   # Stadium aliases only
-  python cloudkit_import.py --delete-all ...             # Delete then import
-  python cloudkit_import.py --delete-only ...            # Delete only (no import)
+  python cloudkit_import.py                               # Interactive menu
+  python cloudkit_import.py --dry-run                     # Preview first
+  python cloudkit_import.py --key-id XX --key-file key.p8 # Import all
+  python cloudkit_import.py --stadiums-only               # Stadiums first
+  python cloudkit_import.py --games-only                  # All games
+  python cloudkit_import.py --games-files mlb_2025.json   # Specific game file
+  python cloudkit_import.py --games-files mlb_2025.json,nba_2025.json  # Multiple files
+  python cloudkit_import.py --stadium-aliases-only        # Stadium aliases only
+  python cloudkit_import.py --delete-all                  # Delete then import
+  python cloudkit_import.py --delete-only                 # Delete only (no import)
 """
 
 import argparse, json, time, os, sys, hashlib, base64, requests
@@ -48,6 +67,58 @@ DEFAULT_KEY_ID = "152be0715e0276e31aaea5cbfe79dc872f298861a55c70fae14e5fe3e026cf
 DEFAULT_KEY_FILE = "eckey.pem"
 
 
+def show_game_files_menu(data_dir: Path) -> list[str]:
+    """Show available game files and let user select which to import."""
+    canonical_games_dir = data_dir / 'canonical' / 'games'
+
+    if not canonical_games_dir.exists():
+        print("\n  No canonical/games/ directory found.")
+        return []
+
+    game_files = sorted(canonical_games_dir.glob('*.json'))
+    if not game_files:
+        print("\n  No game files found in canonical/games/")
+        return []
+
+    print("\n" + "="*50)
+    print("Select Game Files to Import")
+    print("="*50)
+    print("\n  Available files:")
+    for i, f in enumerate(game_files, 1):
+        # Count games in file
+        with open(f) as fp:
+            games = json.load(fp)
+        print(f"    {i}. {f.name} ({len(games):,} games)")
+
+    print(f"\n    a. All files")
+    print(f"    0. Cancel")
+    print()
+
+    while True:
+        try:
+            choice = input("Enter file numbers (comma-separated), 'a' for all, or 0 to cancel: ").strip().lower()
+            if choice == '0':
+                return []
+            if choice == 'a':
+                return [f.name for f in game_files]
+
+            # Parse comma-separated numbers
+            indices = [int(x.strip()) for x in choice.split(',')]
+            selected = []
+            for idx in indices:
+                if 1 <= idx <= len(game_files):
+                    selected.append(game_files[idx-1].name)
+                else:
+                    print(f"Invalid selection: {idx}")
+                    continue
+            if selected:
+                return selected
+            print("No valid selections. Try again.")
+        except (ValueError, EOFError, KeyboardInterrupt):
+            print("\nCancelled.")
+            return []
+
+
 def show_menu():
     """Show interactive menu and return selected action."""
     print("\n" + "="*50)
@@ -55,25 +126,26 @@ def show_menu():
     print("="*50)
     print("\n  1. Import all (stadiums, teams, games, league structure, team aliases, stadium aliases)")
     print("  2. Stadiums only")
-    print("  3. Games only")
-    print("  4. League structure only")
-    print("  5. Team aliases only")
-    print("  6. Stadium aliases only")
-    print("  7. Canonical only (league structure + team aliases + stadium aliases)")
-    print("  8. Delete all then import")
-    print("  9. Delete only (no import)")
-    print("  10. Dry run (preview only)")
+    print("  3. Games only (all files)")
+    print("  4. Games - select specific files")
+    print("  5. League structure only")
+    print("  6. Team aliases only")
+    print("  7. Stadium aliases only")
+    print("  8. Canonical only (league structure + team aliases + stadium aliases)")
+    print("  9. Delete all then import")
+    print("  10. Delete only (no import)")
+    print("  11. Dry run (preview only)")
     print("  0. Exit")
     print()
 
     while True:
         try:
-            choice = input("Enter choice [1-10, 0 to exit]: ").strip()
+            choice = input("Enter choice [1-11, 0 to exit]: ").strip()
             if choice == '0':
                 return None
-            if choice in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']:
+            if choice in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11']:
                 return int(choice)
-            print("Invalid choice. Please enter 1-10 or 0.")
+            print("Invalid choice. Please enter 1-11 or 0.")
         except (EOFError, KeyboardInterrupt):
             print("\nExiting.")
             return None
@@ -265,6 +337,7 @@ def main():
     p.add_argument('--data-dir', default='./data')
     p.add_argument('--stadiums-only', action='store_true')
     p.add_argument('--games-only', action='store_true')
+    p.add_argument('--games-files', type=str, help='Comma-separated list of game files to import (e.g., mlb_2025.json,nba_2025.json)')
     p.add_argument('--league-structure-only', action='store_true', help='Import only league structure')
     p.add_argument('--team-aliases-only', action='store_true', help='Import only team aliases')
     p.add_argument('--stadium-aliases-only', action='store_true', help='Import only stadium aliases')
@@ -278,11 +351,18 @@ def main():
 
     # Show interactive menu if no action flags provided or --interactive
     has_action_flag = any([
-        args.stadiums_only, args.games_only, args.league_structure_only,
+        args.stadiums_only, args.games_only, args.games_files, args.league_structure_only,
         args.team_aliases_only, args.stadium_aliases_only, args.canonical_only,
         args.delete_all, args.delete_only, args.dry_run
     ])
 
+    # Track selected game files (for option 4 or --games-files)
+    selected_game_files = None
+    if args.games_files:
+        # Parse comma-separated list from command line
+        selected_game_files = [f.strip() for f in args.games_files.split(',')]
+        args.games_only = True  # Imply --games-only
+
     if args.interactive or not has_action_flag:
         choice = show_menu()
         if choice is None:
@@ -293,21 +373,27 @@ def main():
             pass  # Default behavior
         elif choice == 2:  # Stadiums only
             args.stadiums_only = True
-        elif choice == 3:  # Games only
+        elif choice == 3:  # Games only (all files)
             args.games_only = True
-        elif choice == 4:  # League structure only
+        elif choice == 4:  # Games - select specific files
+            args.games_only = True
+            selected_game_files = show_game_files_menu(Path(args.data_dir))
+            if not selected_game_files:
+                print("No files selected. Exiting.")
+                return
+        elif choice == 5:  # League structure only
             args.league_structure_only = True
-        elif choice == 5:  # Team aliases only
+        elif choice == 6:  # Team aliases only
             args.team_aliases_only = True
-        elif choice == 6:  # Stadium aliases only
+        elif choice == 7:  # Stadium aliases only
             args.stadium_aliases_only = True
-        elif choice == 7:  # Canonical only
+        elif choice == 8:  # Canonical only
             args.canonical_only = True
-        elif choice == 8:  # Delete all then import
+        elif choice == 9:  # Delete all then import
             args.delete_all = True
-        elif choice == 9:  # Delete only
+        elif choice == 10:  # Delete only
             args.delete_only = True
-        elif choice == 10:  # Dry run
+        elif choice == 11:  # Dry run
             args.dry_run = True
 
     print(f"\n{'='*50}")
@@ -332,12 +418,34 @@ def main():
     else:
         teams = []  # Legacy: extracted from stadiums
 
-    if (data_dir / 'games_canonical.json').exists():
+    # Load games: try new structure first (canonical/games/*.json), then fallback
+    canonical_games_dir = data_dir / 'canonical' / 'games'
+    games = []
+    games_source = None
+
+    if selected_game_files:
+        # Load only the selected files
+        for filename in selected_game_files:
+            filepath = canonical_games_dir / filename
+            if filepath.exists():
+                with open(filepath) as f:
+                    file_games = json.load(f)
+                    games.extend(file_games)
+                    print(f"  Loading {filename}: {len(file_games):,} games")
+        games_source = f"selected files: {', '.join(selected_game_files)}"
+    elif canonical_games_dir.exists() and any(canonical_games_dir.glob('*.json')):
+        # New structure: load all sport/season files
+        for games_file in sorted(canonical_games_dir.glob('*.json')):
+            with open(games_file) as f:
+                file_games = json.load(f)
+                games.extend(file_games)
+        games_source = "canonical/games/*.json"
+    elif (data_dir / 'games_canonical.json').exists():
         games = json.load(open(data_dir / 'games_canonical.json'))
+        games_source = "games_canonical.json"
     elif (data_dir / 'games.json').exists():
         games = json.load(open(data_dir / 'games.json'))
-    else:
-        games = []
+        games_source = "games.json (legacy)"
 
     league_structure = json.load(open(data_dir / 'league_structure.json')) if (data_dir / 'league_structure.json').exists() else []
     team_aliases = json.load(open(data_dir / 'team_aliases.json')) if (data_dir / 'team_aliases.json').exists() else []
@@ -345,6 +453,8 @@ def main():
 
     print(f"Using {'canonical' if use_canonical else 'legacy'} format")
     print(f"Loaded {len(stadiums)} stadiums, {len(teams)} teams, {len(games)} games")
+    if games_source:
+        print(f"  Games loaded from: {games_source}")
     print(f"Loaded {len(league_structure)} league structures, {len(team_aliases)} team aliases, {len(stadium_aliases)} stadium aliases\n")
 
     ck = None

Scripts/data/canonicalization_validation.json

@@ -3,10 +3,10 @@
   "error_count": 0,
   "warning_count": 0,
   "summary": {
-    "stadiums": 92,
+    "stadiums": 148,
     "teams": 92,
-    "games": 4972,
-    "aliases": 130,
+    "games": 0,
+    "aliases": 194,
     "by_category": {}
   },
   "errors": []

Scripts/data/pipeline_report.json

@@ -0,0 +1,205 @@
+{
+  "generated_at": "2026-01-09T19:16:47.175229",
+  "season": 2026,
+  "sport": "all",
+  "summary": {
+    "games_scraped": 5768,
+    "stadiums_scraped": 180,
+    "games_by_sport": {
+      "NBA": 1230,
+      "MLB": 2430,
+      "NHL": 1312,
+      "NFL": 286,
+      "WNBA": 0,
+      "MLS": 510,
+      "NWSL": 0,
+      "CBB": 0
+    },
+    "high_severity": 0,
+    "medium_severity": 0,
+    "low_severity": 30
+  },
+  "game_validations": [],
+  "stadium_issues": [
+    {
+      "stadium": "State Farm Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "TD Garden",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Barclays Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Spectrum Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "United Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Rocket Mortgage FieldHouse",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "American Airlines Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Ball Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Little Caesars Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Chase Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Toyota Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Gainbridge Fieldhouse",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Intuit Dome",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Crypto.com Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "FedExForum",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Kaseya Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Fiserv Forum",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Target Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Smoothie King Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Madison Square Garden",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Paycom Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Kia Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Wells Fargo Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Footprint Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Moda Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Golden 1 Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Frost Bank Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Scotiabank Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Delta Center",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    },
+    {
+      "stadium": "Capital One Arena",
+      "sport": "NBA",
+      "issue": "Missing capacity",
+      "severity": "low"
+    }
+  ]
+}

Scripts/data/stadium_aliases.json

@@ -575,6 +575,390 @@
     "valid_from": null,
     "valid_until": null
   },
+  {
+    "alias_name": "gateway center arena",
+    "stadium_canonical_id": "stadium_wnba_gateway_center_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "wintrust arena",
+    "stadium_canonical_id": "stadium_wnba_wintrust_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "mohegan sun arena",
+    "stadium_canonical_id": "stadium_wnba_mohegan_sun_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "college park center",
+    "stadium_canonical_id": "stadium_wnba_college_park_center",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "chase center",
+    "stadium_canonical_id": "stadium_wnba_chase_center",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "gainbridge fieldhouse",
+    "stadium_canonical_id": "stadium_wnba_gainbridge_fieldhouse",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "michelob ultra arena",
+    "stadium_canonical_id": "stadium_wnba_michelob_ultra_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "crypto.com arena",
+    "stadium_canonical_id": "stadium_wnba_cryptocom_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "cryptocom arena",
+    "stadium_canonical_id": "stadium_wnba_cryptocom_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "target center",
+    "stadium_canonical_id": "stadium_wnba_target_center",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "barclays center",
+    "stadium_canonical_id": "stadium_wnba_barclays_center",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "footprint center",
+    "stadium_canonical_id": "stadium_wnba_footprint_center",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "climate pledge arena",
+    "stadium_canonical_id": "stadium_wnba_climate_pledge_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "entertainment & sports arena",
+    "stadium_canonical_id": "stadium_wnba_entertainment_sports_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "entertainment sports arena",
+    "stadium_canonical_id": "stadium_wnba_entertainment_sports_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "mercedes-benz stadium",
+    "stadium_canonical_id": "stadium_mls_mercedesbenz_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "mercedesbenz stadium",
+    "stadium_canonical_id": "stadium_mls_mercedesbenz_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "q2 stadium",
+    "stadium_canonical_id": "stadium_mls_q2_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "bank of america stadium",
+    "stadium_canonical_id": "stadium_mls_bank_of_america_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "soldier field",
+    "stadium_canonical_id": "stadium_mls_soldier_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "tql stadium",
+    "stadium_canonical_id": "stadium_mls_tql_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "dick's sporting goods park",
+    "stadium_canonical_id": "stadium_mls_dicks_sporting_goods_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "dicks sporting goods park",
+    "stadium_canonical_id": "stadium_mls_dicks_sporting_goods_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "lower.com field",
+    "stadium_canonical_id": "stadium_mls_lowercom_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "lowercom field",
+    "stadium_canonical_id": "stadium_mls_lowercom_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "toyota stadium",
+    "stadium_canonical_id": "stadium_mls_toyota_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "audi field",
+    "stadium_canonical_id": "stadium_mls_audi_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "shell energy stadium",
+    "stadium_canonical_id": "stadium_mls_shell_energy_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "dignity health sports park",
+    "stadium_canonical_id": "stadium_mls_dignity_health_sports_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "bmo stadium",
+    "stadium_canonical_id": "stadium_mls_bmo_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "chase stadium",
+    "stadium_canonical_id": "stadium_mls_chase_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "allianz field",
+    "stadium_canonical_id": "stadium_mls_allianz_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "stade saputo",
+    "stadium_canonical_id": "stadium_mls_stade_saputo",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "geodis park",
+    "stadium_canonical_id": "stadium_mls_geodis_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "gillette stadium",
+    "stadium_canonical_id": "stadium_mls_gillette_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "yankee stadium",
+    "stadium_canonical_id": "stadium_mls_yankee_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "red bull arena",
+    "stadium_canonical_id": "stadium_mls_red_bull_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "inter&co stadium",
+    "stadium_canonical_id": "stadium_mls_interco_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "interco stadium",
+    "stadium_canonical_id": "stadium_mls_interco_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "subaru park",
+    "stadium_canonical_id": "stadium_mls_subaru_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "providence park",
+    "stadium_canonical_id": "stadium_mls_providence_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "america first field",
+    "stadium_canonical_id": "stadium_mls_america_first_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "paypal park",
+    "stadium_canonical_id": "stadium_mls_paypal_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "lumen field",
+    "stadium_canonical_id": "stadium_mls_lumen_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "children's mercy park",
+    "stadium_canonical_id": "stadium_mls_childrens_mercy_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "childrens mercy park",
+    "stadium_canonical_id": "stadium_mls_childrens_mercy_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "citypark",
+    "stadium_canonical_id": "stadium_mls_citypark",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "bmo field",
+    "stadium_canonical_id": "stadium_mls_bmo_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "bc place",
+    "stadium_canonical_id": "stadium_mls_bc_place",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "snapdragon stadium",
+    "stadium_canonical_id": "stadium_mls_snapdragon_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "bmo stadium",
+    "stadium_canonical_id": "stadium_nwsl_bmo_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "paypal park",
+    "stadium_canonical_id": "stadium_nwsl_paypal_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "seatgeek stadium",
+    "stadium_canonical_id": "stadium_nwsl_seatgeek_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "shell energy stadium",
+    "stadium_canonical_id": "stadium_nwsl_shell_energy_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "cpkc stadium",
+    "stadium_canonical_id": "stadium_nwsl_cpkc_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "red bull arena",
+    "stadium_canonical_id": "stadium_nwsl_red_bull_arena",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "wakemed soccer park",
+    "stadium_canonical_id": "stadium_nwsl_wakemed_soccer_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "inter&co stadium",
+    "stadium_canonical_id": "stadium_nwsl_interco_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "interco stadium",
+    "stadium_canonical_id": "stadium_nwsl_interco_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "providence park",
+    "stadium_canonical_id": "stadium_nwsl_providence_park",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "lumen field",
+    "stadium_canonical_id": "stadium_nwsl_lumen_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "snapdragon stadium",
+    "stadium_canonical_id": "stadium_nwsl_snapdragon_stadium",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "america first field",
+    "stadium_canonical_id": "stadium_nwsl_america_first_field",
+    "valid_from": null,
+    "valid_until": null
+  },
+  {
+    "alias_name": "audi field",
+    "stadium_canonical_id": "stadium_nwsl_audi_field",
+    "valid_from": null,
+    "valid_until": null
+  },
   {
     "alias_name": "daikin park",
     "stadium_canonical_id": "stadium_mlb_minute_maid_park",

Scripts/data/stadiums.csv

@@ -1,93 +1,181 @@
-id,name,city,state,latitude,longitude,capacity,sport,team_abbrevs,source,year_opened
-manual_nba_atl,State Farm Arena,Atlanta,,33.7573,-84.3963,0,NBA,['ATL'],manual,
-manual_nba_bos,TD Garden,Boston,,42.3662,-71.0621,0,NBA,['BOS'],manual,
-manual_nba_brk,Barclays Center,Brooklyn,,40.6826,-73.9754,0,NBA,['BRK'],manual,
-manual_nba_cho,Spectrum Center,Charlotte,,35.2251,-80.8392,0,NBA,['CHO'],manual,
-manual_nba_chi,United Center,Chicago,,41.8807,-87.6742,0,NBA,['CHI'],manual,
-manual_nba_cle,Rocket Mortgage FieldHouse,Cleveland,,41.4965,-81.6882,0,NBA,['CLE'],manual,
-manual_nba_dal,American Airlines Center,Dallas,,32.7905,-96.8103,0,NBA,['DAL'],manual,
-manual_nba_den,Ball Arena,Denver,,39.7487,-105.0077,0,NBA,['DEN'],manual,
-manual_nba_det,Little Caesars Arena,Detroit,,42.3411,-83.0553,0,NBA,['DET'],manual,
-manual_nba_gsw,Chase Center,San Francisco,,37.768,-122.3879,0,NBA,['GSW'],manual,
-manual_nba_hou,Toyota Center,Houston,,29.7508,-95.3621,0,NBA,['HOU'],manual,
-manual_nba_ind,Gainbridge Fieldhouse,Indianapolis,,39.764,-86.1555,0,NBA,['IND'],manual,
-manual_nba_lac,Intuit Dome,Inglewood,,33.9425,-118.3419,0,NBA,['LAC'],manual,
-manual_nba_lal,Crypto.com Arena,Los Angeles,,34.043,-118.2673,0,NBA,['LAL'],manual,
-manual_nba_mem,FedExForum,Memphis,,35.1382,-90.0506,0,NBA,['MEM'],manual,
-manual_nba_mia,Kaseya Center,Miami,,25.7814,-80.187,0,NBA,['MIA'],manual,
-manual_nba_mil,Fiserv Forum,Milwaukee,,43.0451,-87.9174,0,NBA,['MIL'],manual,
-manual_nba_min,Target Center,Minneapolis,,44.9795,-93.2761,0,NBA,['MIN'],manual,
-manual_nba_nop,Smoothie King Center,New Orleans,,29.949,-90.0821,0,NBA,['NOP'],manual,
-manual_nba_nyk,Madison Square Garden,New York,,40.7505,-73.9934,0,NBA,['NYK'],manual,
-manual_nba_okc,Paycom Center,Oklahoma City,,35.4634,-97.5151,0,NBA,['OKC'],manual,
-manual_nba_orl,Kia Center,Orlando,,28.5392,-81.3839,0,NBA,['ORL'],manual,
-manual_nba_phi,Wells Fargo Center,Philadelphia,,39.9012,-75.172,0,NBA,['PHI'],manual,
-manual_nba_pho,Footprint Center,Phoenix,,33.4457,-112.0712,0,NBA,['PHO'],manual,
-manual_nba_por,Moda Center,Portland,,45.5316,-122.6668,0,NBA,['POR'],manual,
-manual_nba_sac,Golden 1 Center,Sacramento,,38.5802,-121.4997,0,NBA,['SAC'],manual,
-manual_nba_sas,Frost Bank Center,San Antonio,,29.427,-98.4375,0,NBA,['SAS'],manual,
-manual_nba_tor,Scotiabank Arena,Toronto,,43.6435,-79.3791,0,NBA,['TOR'],manual,
-manual_nba_uta,Delta Center,Salt Lake City,,40.7683,-111.9011,0,NBA,['UTA'],manual,
-manual_nba_was,Capital One Arena,Washington,,38.8982,-77.0209,0,NBA,['WAS'],manual,
-manual_mlb_ari,Chase Field,Phoenix,AZ,33.4453,-112.0667,48686,MLB,['ARI'],manual,
-manual_mlb_atl,Truist Park,Atlanta,GA,33.8907,-84.4678,41084,MLB,['ATL'],manual,
-manual_mlb_bal,Oriole Park at Camden Yards,Baltimore,MD,39.2838,-76.6218,45971,MLB,['BAL'],manual,
-manual_mlb_bos,Fenway Park,Boston,MA,42.3467,-71.0972,37755,MLB,['BOS'],manual,
-manual_mlb_chc,Wrigley Field,Chicago,IL,41.9484,-87.6553,41649,MLB,['CHC'],manual,
-manual_mlb_chw,Guaranteed Rate Field,Chicago,IL,41.8299,-87.6338,40615,MLB,['CHW'],manual,
-manual_mlb_cin,Great American Ball Park,Cincinnati,OH,39.0979,-84.5082,42319,MLB,['CIN'],manual,
-manual_mlb_cle,Progressive Field,Cleveland,OH,41.4962,-81.6852,34830,MLB,['CLE'],manual,
-manual_mlb_col,Coors Field,Denver,CO,39.7559,-104.9942,50144,MLB,['COL'],manual,
-manual_mlb_det,Comerica Park,Detroit,MI,42.339,-83.0485,41083,MLB,['DET'],manual,
-manual_mlb_hou,Minute Maid Park,Houston,TX,29.7573,-95.3555,41168,MLB,['HOU'],manual,
-manual_mlb_kcr,Kauffman Stadium,Kansas City,MO,39.0517,-94.4803,37903,MLB,['KCR'],manual,
-manual_mlb_laa,Angel Stadium,Anaheim,CA,33.8003,-117.8827,45517,MLB,['LAA'],manual,
-manual_mlb_lad,Dodger Stadium,Los Angeles,CA,34.0739,-118.24,56000,MLB,['LAD'],manual,
-manual_mlb_mia,LoanDepot Park,Miami,FL,25.7781,-80.2196,36742,MLB,['MIA'],manual,
-manual_mlb_mil,American Family Field,Milwaukee,WI,43.028,-87.9712,41900,MLB,['MIL'],manual,
-manual_mlb_min,Target Field,Minneapolis,MN,44.9817,-93.2776,38544,MLB,['MIN'],manual,
-manual_mlb_nym,Citi Field,New York,NY,40.7571,-73.8458,41922,MLB,['NYM'],manual,
-manual_mlb_nyy,Yankee Stadium,New York,NY,40.8296,-73.9262,46537,MLB,['NYY'],manual,
-manual_mlb_oak,Sutter Health Park,Sacramento,CA,38.5802,-121.5097,14014,MLB,['OAK'],manual,
-manual_mlb_phi,Citizens Bank Park,Philadelphia,PA,39.9061,-75.1665,42792,MLB,['PHI'],manual,
-manual_mlb_pit,PNC Park,Pittsburgh,PA,40.4469,-80.0057,38362,MLB,['PIT'],manual,
-manual_mlb_sdp,Petco Park,San Diego,CA,32.7076,-117.157,40209,MLB,['SDP'],manual,
-manual_mlb_sfg,Oracle Park,San Francisco,CA,37.7786,-122.3893,41265,MLB,['SFG'],manual,
-manual_mlb_sea,T-Mobile Park,Seattle,WA,47.5914,-122.3325,47929,MLB,['SEA'],manual,
-manual_mlb_stl,Busch Stadium,St. Louis,MO,38.6226,-90.1928,45494,MLB,['STL'],manual,
-manual_mlb_tbr,Tropicana Field,St. Petersburg,FL,27.7682,-82.6534,25000,MLB,['TBR'],manual,
-manual_mlb_tex,Globe Life Field,Arlington,TX,32.7473,-97.0845,40300,MLB,['TEX'],manual,
-manual_mlb_tor,Rogers Centre,Toronto,ON,43.6414,-79.3894,49282,MLB,['TOR'],manual,
-manual_mlb_wsn,Nationals Park,Washington,DC,38.873,-77.0074,41339,MLB,['WSN'],manual,
-manual_nhl_ana,Honda Center,Anaheim,CA,33.8078,-117.8765,17174,NHL,['ANA'],manual,
-manual_nhl_ari,Delta Center,Salt Lake City,UT,40.7683,-111.9011,18306,NHL,['ARI'],manual,
-manual_nhl_bos,TD Garden,Boston,MA,42.3662,-71.0621,17565,NHL,['BOS'],manual,
-manual_nhl_buf,KeyBank Center,Buffalo,NY,42.875,-78.8764,19070,NHL,['BUF'],manual,
-manual_nhl_cgy,Scotiabank Saddledome,Calgary,AB,51.0374,-114.0519,19289,NHL,['CGY'],manual,
-manual_nhl_car,PNC Arena,Raleigh,NC,35.8034,-78.722,18680,NHL,['CAR'],manual,
-manual_nhl_chi,United Center,Chicago,IL,41.8807,-87.6742,19717,NHL,['CHI'],manual,
-manual_nhl_col,Ball Arena,Denver,CO,39.7487,-105.0077,18007,NHL,['COL'],manual,
-manual_nhl_cbj,Nationwide Arena,Columbus,OH,39.9693,-83.0061,18500,NHL,['CBJ'],manual,
-manual_nhl_dal,American Airlines Center,Dallas,TX,32.7905,-96.8103,18532,NHL,['DAL'],manual,
-manual_nhl_det,Little Caesars Arena,Detroit,MI,42.3411,-83.0553,19515,NHL,['DET'],manual,
-manual_nhl_edm,Rogers Place,Edmonton,AB,53.5469,-113.4978,18347,NHL,['EDM'],manual,
-manual_nhl_fla,Amerant Bank Arena,Sunrise,FL,26.1584,-80.3256,19250,NHL,['FLA'],manual,
-manual_nhl_lak,Crypto.com Arena,Los Angeles,CA,34.043,-118.2673,18230,NHL,['LAK'],manual,
-manual_nhl_min,Xcel Energy Center,St. Paul,MN,44.9448,-93.101,17954,NHL,['MIN'],manual,
-manual_nhl_mtl,Bell Centre,Montreal,QC,45.4961,-73.5693,21302,NHL,['MTL'],manual,
-manual_nhl_nsh,Bridgestone Arena,Nashville,TN,36.1592,-86.7785,17159,NHL,['NSH'],manual,
-manual_nhl_njd,Prudential Center,Newark,NJ,40.7334,-74.1712,16514,NHL,['NJD'],manual,
-manual_nhl_nyi,UBS Arena,Elmont,NY,40.7161,-73.7246,17255,NHL,['NYI'],manual,
-manual_nhl_nyr,Madison Square Garden,New York,NY,40.7505,-73.9934,18006,NHL,['NYR'],manual,
-manual_nhl_ott,Canadian Tire Centre,Ottawa,ON,45.2969,-75.9272,18652,NHL,['OTT'],manual,
-manual_nhl_phi,Wells Fargo Center,Philadelphia,PA,39.9012,-75.172,19543,NHL,['PHI'],manual,
-manual_nhl_pit,PPG Paints Arena,Pittsburgh,PA,40.4395,-79.9892,18387,NHL,['PIT'],manual,
-manual_nhl_sjs,SAP Center,San Jose,CA,37.3327,-121.901,17562,NHL,['SJS'],manual,
-manual_nhl_sea,Climate Pledge Arena,Seattle,WA,47.6221,-122.354,17100,NHL,['SEA'],manual,
-manual_nhl_stl,Enterprise Center,St. Louis,MO,38.6268,-90.2025,18096,NHL,['STL'],manual,
-manual_nhl_tbl,Amalie Arena,Tampa,FL,27.9426,-82.4519,19092,NHL,['TBL'],manual,
-manual_nhl_tor,Scotiabank Arena,Toronto,ON,43.6435,-79.3791,18819,NHL,['TOR'],manual,
-manual_nhl_van,Rogers Arena,Vancouver,BC,49.2778,-123.1089,18910,NHL,['VAN'],manual,
-manual_nhl_vgk,T-Mobile Arena,Las Vegas,NV,36.1028,-115.1784,17500,NHL,['VGK'],manual,
-manual_nhl_wsh,Capital One Arena,Washington,DC,38.8982,-77.0209,18573,NHL,['WSH'],manual,
-manual_nhl_wpg,Canada Life Centre,Winnipeg,MB,49.8928,-97.1436,15321,NHL,['WPG'],manual,
+id,name,city,state,latitude,longitude,capacity,sport,team_abbrevs,source,year_opened
+manual_nba_atl,State Farm Arena,Atlanta,,33.7573,-84.3963,0,NBA,['ATL'],manual,
+manual_nba_bos,TD Garden,Boston,,42.3662,-71.0621,0,NBA,['BOS'],manual,
+manual_nba_brk,Barclays Center,Brooklyn,,40.6826,-73.9754,0,NBA,['BRK'],manual,
+manual_nba_cho,Spectrum Center,Charlotte,,35.2251,-80.8392,0,NBA,['CHO'],manual,
+manual_nba_chi,United Center,Chicago,,41.8807,-87.6742,0,NBA,['CHI'],manual,
+manual_nba_cle,Rocket Mortgage FieldHouse,Cleveland,,41.4965,-81.6882,0,NBA,['CLE'],manual,
+manual_nba_dal,American Airlines Center,Dallas,,32.7905,-96.8103,0,NBA,['DAL'],manual,
+manual_nba_den,Ball Arena,Denver,,39.7487,-105.0077,0,NBA,['DEN'],manual,
+manual_nba_det,Little Caesars Arena,Detroit,,42.3411,-83.0553,0,NBA,['DET'],manual,
+manual_nba_gsw,Chase Center,San Francisco,,37.768,-122.3879,0,NBA,['GSW'],manual,
+manual_nba_hou,Toyota Center,Houston,,29.7508,-95.3621,0,NBA,['HOU'],manual,
+manual_nba_ind,Gainbridge Fieldhouse,Indianapolis,,39.764,-86.1555,0,NBA,['IND'],manual,
+manual_nba_lac,Intuit Dome,Inglewood,,33.9425,-118.3419,0,NBA,['LAC'],manual,
+manual_nba_lal,Crypto.com Arena,Los Angeles,,34.043,-118.2673,0,NBA,['LAL'],manual,
+manual_nba_mem,FedExForum,Memphis,,35.1382,-90.0506,0,NBA,['MEM'],manual,
+manual_nba_mia,Kaseya Center,Miami,,25.7814,-80.187,0,NBA,['MIA'],manual,
+manual_nba_mil,Fiserv Forum,Milwaukee,,43.0451,-87.9174,0,NBA,['MIL'],manual,
+manual_nba_min,Target Center,Minneapolis,,44.9795,-93.2761,0,NBA,['MIN'],manual,
+manual_nba_nop,Smoothie King Center,New Orleans,,29.949,-90.0821,0,NBA,['NOP'],manual,
+manual_nba_nyk,Madison Square Garden,New York,,40.7505,-73.9934,0,NBA,['NYK'],manual,
+manual_nba_okc,Paycom Center,Oklahoma City,,35.4634,-97.5151,0,NBA,['OKC'],manual,
+manual_nba_orl,Kia Center,Orlando,,28.5392,-81.3839,0,NBA,['ORL'],manual,
+manual_nba_phi,Wells Fargo Center,Philadelphia,,39.9012,-75.172,0,NBA,['PHI'],manual,
+manual_nba_pho,Footprint Center,Phoenix,,33.4457,-112.0712,0,NBA,['PHO'],manual,
+manual_nba_por,Moda Center,Portland,,45.5316,-122.6668,0,NBA,['POR'],manual,
+manual_nba_sac,Golden 1 Center,Sacramento,,38.5802,-121.4997,0,NBA,['SAC'],manual,
+manual_nba_sas,Frost Bank Center,San Antonio,,29.427,-98.4375,0,NBA,['SAS'],manual,
+manual_nba_tor,Scotiabank Arena,Toronto,,43.6435,-79.3791,0,NBA,['TOR'],manual,
+manual_nba_uta,Delta Center,Salt Lake City,,40.7683,-111.9011,0,NBA,['UTA'],manual,
+manual_nba_was,Capital One Arena,Washington,,38.8982,-77.0209,0,NBA,['WAS'],manual,
+manual_mlb_ari,Chase Field,Phoenix,AZ,33.4453,-112.0667,48686,MLB,['ARI'],manual,
+manual_mlb_atl,Truist Park,Atlanta,GA,33.8907,-84.4678,41084,MLB,['ATL'],manual,
+manual_mlb_bal,Oriole Park at Camden Yards,Baltimore,MD,39.2838,-76.6218,45971,MLB,['BAL'],manual,
+manual_mlb_bos,Fenway Park,Boston,MA,42.3467,-71.0972,37755,MLB,['BOS'],manual,
+manual_mlb_chc,Wrigley Field,Chicago,IL,41.9484,-87.6553,41649,MLB,['CHC'],manual,
+manual_mlb_chw,Guaranteed Rate Field,Chicago,IL,41.8299,-87.6338,40615,MLB,['CHW'],manual,
+manual_mlb_cin,Great American Ball Park,Cincinnati,OH,39.0979,-84.5082,42319,MLB,['CIN'],manual,
+manual_mlb_cle,Progressive Field,Cleveland,OH,41.4962,-81.6852,34830,MLB,['CLE'],manual,
+manual_mlb_col,Coors Field,Denver,CO,39.7559,-104.9942,50144,MLB,['COL'],manual,
+manual_mlb_det,Comerica Park,Detroit,MI,42.339,-83.0485,41083,MLB,['DET'],manual,
+manual_mlb_hou,Minute Maid Park,Houston,TX,29.7573,-95.3555,41168,MLB,['HOU'],manual,
+manual_mlb_kcr,Kauffman Stadium,Kansas City,MO,39.0517,-94.4803,37903,MLB,['KCR'],manual,
+manual_mlb_laa,Angel Stadium,Anaheim,CA,33.8003,-117.8827,45517,MLB,['LAA'],manual,
+manual_mlb_lad,Dodger Stadium,Los Angeles,CA,34.0739,-118.24,56000,MLB,['LAD'],manual,
+manual_mlb_mia,LoanDepot Park,Miami,FL,25.7781,-80.2196,36742,MLB,['MIA'],manual,
+manual_mlb_mil,American Family Field,Milwaukee,WI,43.028,-87.9712,41900,MLB,['MIL'],manual,
+manual_mlb_min,Target Field,Minneapolis,MN,44.9817,-93.2776,38544,MLB,['MIN'],manual,
+manual_mlb_nym,Citi Field,New York,NY,40.7571,-73.8458,41922,MLB,['NYM'],manual,
+manual_mlb_nyy,Yankee Stadium,New York,NY,40.8296,-73.9262,46537,MLB,['NYY'],manual,
+manual_mlb_oak,Sutter Health Park,Sacramento,CA,38.5802,-121.5097,14014,MLB,['OAK'],manual,
+manual_mlb_phi,Citizens Bank Park,Philadelphia,PA,39.9061,-75.1665,42792,MLB,['PHI'],manual,
+manual_mlb_pit,PNC Park,Pittsburgh,PA,40.4469,-80.0057,38362,MLB,['PIT'],manual,
+manual_mlb_sdp,Petco Park,San Diego,CA,32.7076,-117.157,40209,MLB,['SDP'],manual,
+manual_mlb_sfg,Oracle Park,San Francisco,CA,37.7786,-122.3893,41265,MLB,['SFG'],manual,
+manual_mlb_sea,T-Mobile Park,Seattle,WA,47.5914,-122.3325,47929,MLB,['SEA'],manual,
+manual_mlb_stl,Busch Stadium,St. Louis,MO,38.6226,-90.1928,45494,MLB,['STL'],manual,
+manual_mlb_tbr,Tropicana Field,St. Petersburg,FL,27.7682,-82.6534,25000,MLB,['TBR'],manual,
+manual_mlb_tex,Globe Life Field,Arlington,TX,32.7473,-97.0845,40300,MLB,['TEX'],manual,
+manual_mlb_tor,Rogers Centre,Toronto,ON,43.6414,-79.3894,49282,MLB,['TOR'],manual,
+manual_mlb_wsn,Nationals Park,Washington,DC,38.873,-77.0074,41339,MLB,['WSN'],manual,
+manual_nhl_ana,Honda Center,Anaheim,CA,33.8078,-117.8765,17174,NHL,['ANA'],manual,
+manual_nhl_ari,Delta Center,Salt Lake City,UT,40.7683,-111.9011,18306,NHL,['ARI'],manual,
+manual_nhl_bos,TD Garden,Boston,MA,42.3662,-71.0621,17565,NHL,['BOS'],manual,
+manual_nhl_buf,KeyBank Center,Buffalo,NY,42.875,-78.8764,19070,NHL,['BUF'],manual,
+manual_nhl_cgy,Scotiabank Saddledome,Calgary,AB,51.0374,-114.0519,19289,NHL,['CGY'],manual,
+manual_nhl_car,PNC Arena,Raleigh,NC,35.8034,-78.722,18680,NHL,['CAR'],manual,
+manual_nhl_chi,United Center,Chicago,IL,41.8807,-87.6742,19717,NHL,['CHI'],manual,
+manual_nhl_col,Ball Arena,Denver,CO,39.7487,-105.0077,18007,NHL,['COL'],manual,
+manual_nhl_cbj,Nationwide Arena,Columbus,OH,39.9693,-83.0061,18500,NHL,['CBJ'],manual,
+manual_nhl_dal,American Airlines Center,Dallas,TX,32.7905,-96.8103,18532,NHL,['DAL'],manual,
+manual_nhl_det,Little Caesars Arena,Detroit,MI,42.3411,-83.0553,19515,NHL,['DET'],manual,
+manual_nhl_edm,Rogers Place,Edmonton,AB,53.5469,-113.4978,18347,NHL,['EDM'],manual,
+manual_nhl_fla,Amerant Bank Arena,Sunrise,FL,26.1584,-80.3256,19250,NHL,['FLA'],manual,
+manual_nhl_lak,Crypto.com Arena,Los Angeles,CA,34.043,-118.2673,18230,NHL,['LAK'],manual,
+manual_nhl_min,Xcel Energy Center,St. Paul,MN,44.9448,-93.101,17954,NHL,['MIN'],manual,
+manual_nhl_mtl,Bell Centre,Montreal,QC,45.4961,-73.5693,21302,NHL,['MTL'],manual,
+manual_nhl_nsh,Bridgestone Arena,Nashville,TN,36.1592,-86.7785,17159,NHL,['NSH'],manual,
+manual_nhl_njd,Prudential Center,Newark,NJ,40.7334,-74.1712,16514,NHL,['NJD'],manual,
+manual_nhl_nyi,UBS Arena,Elmont,NY,40.7161,-73.7246,17255,NHL,['NYI'],manual,
+manual_nhl_nyr,Madison Square Garden,New York,NY,40.7505,-73.9934,18006,NHL,['NYR'],manual,
+manual_nhl_ott,Canadian Tire Centre,Ottawa,ON,45.2969,-75.9272,18652,NHL,['OTT'],manual,
+manual_nhl_phi,Wells Fargo Center,Philadelphia,PA,39.9012,-75.172,19543,NHL,['PHI'],manual,
+manual_nhl_pit,PPG Paints Arena,Pittsburgh,PA,40.4395,-79.9892,18387,NHL,['PIT'],manual,
+manual_nhl_sjs,SAP Center,San Jose,CA,37.3327,-121.901,17562,NHL,['SJS'],manual,
+manual_nhl_sea,Climate Pledge Arena,Seattle,WA,47.6221,-122.354,17100,NHL,['SEA'],manual,
+manual_nhl_stl,Enterprise Center,St. Louis,MO,38.6268,-90.2025,18096,NHL,['STL'],manual,
+manual_nhl_tbl,Amalie Arena,Tampa,FL,27.9426,-82.4519,19092,NHL,['TBL'],manual,
+manual_nhl_tor,Scotiabank Arena,Toronto,ON,43.6435,-79.3791,18819,NHL,['TOR'],manual,
+manual_nhl_van,Rogers Arena,Vancouver,BC,49.2778,-123.1089,18910,NHL,['VAN'],manual,
+manual_nhl_vgk,T-Mobile Arena,Las Vegas,NV,36.1028,-115.1784,17500,NHL,['VGK'],manual,
+manual_nhl_wsh,Capital One Arena,Washington,DC,38.8982,-77.0209,18573,NHL,['WSH'],manual,
+manual_nhl_wpg,Canada Life Centre,Winnipeg,MB,49.8928,-97.1436,15321,NHL,['WPG'],manual,
+manual_wnba_atl,Gateway Center Arena,College Park,GA,33.6534,-84.448,3500,WNBA,['ATL'],manual,
+manual_wnba_chi,Wintrust Arena,Chicago,IL,41.8622,-87.6164,10387,WNBA,['CHI'],manual,
+manual_wnba_con,Mohegan Sun Arena,Uncasville,CT,41.4946,-72.0874,10000,WNBA,['CON'],manual,
+manual_wnba_dal,College Park Center,Arlington,TX,32.7298,-97.1137,7000,WNBA,['DAL'],manual,
+manual_wnba_gsv,Chase Center,San Francisco,CA,37.768,-122.3879,18064,WNBA,['GSV'],manual,
+manual_wnba_ind,Gainbridge Fieldhouse,Indianapolis,IN,39.764,-86.1555,17274,WNBA,['IND'],manual,
+manual_wnba_lva,Michelob Ultra Arena,Las Vegas,NV,36.0929,-115.1757,12000,WNBA,['LVA'],manual,
+manual_wnba_las,Crypto.com Arena,Los Angeles,CA,34.043,-118.2673,19068,WNBA,['LAS'],manual,
+manual_wnba_min,Target Center,Minneapolis,MN,44.9795,-93.2761,17500,WNBA,['MIN'],manual,
+manual_wnba_nyl,Barclays Center,Brooklyn,NY,40.6826,-73.9754,17732,WNBA,['NYL'],manual,
+manual_wnba_phx,Footprint Center,Phoenix,AZ,33.4457,-112.0712,17000,WNBA,['PHX'],manual,
+manual_wnba_sea,Climate Pledge Arena,Seattle,WA,47.6221,-122.354,17100,WNBA,['SEA'],manual,
+manual_wnba_was,Entertainment & Sports Arena,Washington,DC,38.8701,-76.9728,4200,WNBA,['WAS'],manual,
+manual_mls_atl,Mercedes-Benz Stadium,Atlanta,GA,33.7553,-84.4006,71000,MLS,['ATL'],manual,
+manual_mls_atx,Q2 Stadium,Austin,TX,30.3876,-97.72,20738,MLS,['ATX'],manual,
+manual_mls_clt,Bank of America Stadium,Charlotte,NC,35.2258,-80.8528,74867,MLS,['CLT'],manual,
+manual_mls_chi,Soldier Field,Chicago,IL,41.8623,-87.6167,61500,MLS,['CHI'],manual,
+manual_mls_cin,TQL Stadium,Cincinnati,OH,39.1113,-84.5212,26000,MLS,['CIN'],manual,
+manual_mls_col,Dick's Sporting Goods Park,Commerce City,CO,39.8056,-104.8919,18061,MLS,['COL'],manual,
+manual_mls_clb,Lower.com Field,Columbus,OH,39.9689,-83.0173,20371,MLS,['CLB'],manual,
+manual_mls_dal,Toyota Stadium,Frisco,TX,33.1546,-96.8353,20500,MLS,['DAL'],manual,
+manual_mls_dcu,Audi Field,Washington,DC,38.8686,-77.0128,20000,MLS,['DCU'],manual,
+manual_mls_hou,Shell Energy Stadium,Houston,TX,29.7523,-95.3522,22039,MLS,['HOU'],manual,
+manual_mls_lag,Dignity Health Sports Park,Carson,CA,33.8644,-118.2611,27000,MLS,['LAG'],manual,
+manual_mls_lafc,BMO Stadium,Los Angeles,CA,34.0128,-118.2841,22000,MLS,['LAFC'],manual,
+manual_mls_mia,Chase Stadium,Fort Lauderdale,FL,26.1902,-80.163,21550,MLS,['MIA'],manual,
+manual_mls_min,Allianz Field,St. Paul,MN,44.9532,-93.1653,19400,MLS,['MIN'],manual,
+manual_mls_mtl,Stade Saputo,Montreal,QC,45.5628,-73.553,19619,MLS,['MTL'],manual,
+manual_mls_nsh,Geodis Park,Nashville,TN,36.1303,-86.7663,30000,MLS,['NSH'],manual,
+manual_mls_ner,Gillette Stadium,Foxborough,MA,42.0909,-71.2643,65878,MLS,['NER'],manual,
+manual_mls_nyc,Yankee Stadium,New York,NY,40.8296,-73.9262,46537,MLS,['NYC'],manual,
+manual_mls_rbny,Red Bull Arena,Harrison,NJ,40.7368,-74.1503,25000,MLS,['RBNY'],manual,
+manual_mls_orl,Inter&Co Stadium,Orlando,FL,28.5411,-81.3899,25500,MLS,['ORL'],manual,
+manual_mls_phi,Subaru Park,Chester,PA,39.8328,-75.3789,18500,MLS,['PHI'],manual,
+manual_mls_por,Providence Park,Portland,OR,45.5217,-122.6917,25218,MLS,['POR'],manual,
+manual_mls_rsl,America First Field,Sandy,UT,40.5828,-111.8933,20213,MLS,['RSL'],manual,
+manual_mls_sje,PayPal Park,San Jose,CA,37.3513,-121.9253,18000,MLS,['SJE'],manual,
+manual_mls_sea,Lumen Field,Seattle,WA,47.5952,-122.3316,68740,MLS,['SEA'],manual,
+manual_mls_skc,Children's Mercy Park,Kansas City,KS,39.1218,-94.8234,18467,MLS,['SKC'],manual,
+manual_mls_stl,CityPark,St. Louis,MO,38.6322,-90.2094,22500,MLS,['STL'],manual,
+manual_mls_tor,BMO Field,Toronto,ON,43.6332,-79.4186,30000,MLS,['TOR'],manual,
+manual_mls_van,BC Place,Vancouver,BC,49.2768,-123.1118,54320,MLS,['VAN'],manual,
+manual_mls_sdg,Snapdragon Stadium,San Diego,CA,32.7839,-117.1224,35000,MLS,['SDG'],manual,
+manual_nwsl_ang,BMO Stadium,Los Angeles,CA,34.0128,-118.2841,22000,NWSL,['ANG'],manual,
+manual_nwsl_bay,PayPal Park,San Jose,CA,37.3513,-121.9253,18000,NWSL,['BAY'],manual,
+manual_nwsl_chi,SeatGeek Stadium,Chicago,IL,41.6462,-87.7304,20000,NWSL,['CHI'],manual,
+manual_nwsl_hou,Shell Energy Stadium,Houston,TX,29.7523,-95.3522,22039,NWSL,['HOU'],manual,
+manual_nwsl_kcc,CPKC Stadium,Kansas City,KS,39.0851,-94.5582,11500,NWSL,['KCC'],manual,
+manual_nwsl_njy,Red Bull Arena,Harrison,NJ,40.7368,-74.1503,25000,NWSL,['NJY'],manual,
+manual_nwsl_ncc,WakeMed Soccer Park,Cary,NC,35.8589,-78.7989,10000,NWSL,['NCC'],manual,
+manual_nwsl_orl,Inter&Co Stadium,Orlando,FL,28.5411,-81.3899,25500,NWSL,['ORL'],manual,
+manual_nwsl_por,Providence Park,Portland,OR,45.5217,-122.6917,25218,NWSL,['POR'],manual,
+manual_nwsl_rgn,Lumen Field,Seattle,WA,47.5952,-122.3316,68740,NWSL,['RGN'],manual,
+manual_nwsl_sdw,Snapdragon Stadium,San Diego,CA,32.7839,-117.1224,35000,NWSL,['SDW'],manual,
+manual_nwsl_uta,America First Field,Sandy,UT,40.5828,-111.8933,20213,NWSL,['UTA'],manual,
+manual_nwsl_wsh,Audi Field,Washington,DC,38.8686,-77.0128,20000,NWSL,['WSH'],manual,
+manual_nfl_ari,State Farm Stadium,Glendale,AZ,33.5276,-112.2626,63400,NFL,['ARI'],manual,
+manual_nfl_atl,Mercedes-Benz Stadium,Atlanta,GA,33.7553,-84.4006,71000,NFL,['ATL'],manual,
+manual_nfl_bal,M&T Bank Stadium,Baltimore,MD,39.278,-76.6227,71008,NFL,['BAL'],manual,
+manual_nfl_buf,Highmark Stadium,Orchard Park,NY,42.7738,-78.787,71608,NFL,['BUF'],manual,
+manual_nfl_car,Bank of America Stadium,Charlotte,NC,35.2258,-80.8528,74867,NFL,['CAR'],manual,
+manual_nfl_chi,Soldier Field,Chicago,IL,41.8623,-87.6167,61500,NFL,['CHI'],manual,
+manual_nfl_cin,Paycor Stadium,Cincinnati,OH,39.0954,-84.516,65515,NFL,['CIN'],manual,
+manual_nfl_cle,Cleveland Browns Stadium,Cleveland,OH,41.5061,-81.6995,67431,NFL,['CLE'],manual,
+manual_nfl_dal,AT&T Stadium,Arlington,TX,32.748,-97.0928,80000,NFL,['DAL'],manual,
+manual_nfl_den,Empower Field at Mile High,Denver,CO,39.7439,-105.0201,76125,NFL,['DEN'],manual,
+manual_nfl_det,Ford Field,Detroit,MI,42.34,-83.0456,65000,NFL,['DET'],manual,
+manual_nfl_gb,Lambeau Field,Green Bay,WI,44.5013,-88.0622,81435,NFL,['GB'],manual,
+manual_nfl_hou,NRG Stadium,Houston,TX,29.6847,-95.4107,72220,NFL,['HOU'],manual,
+manual_nfl_ind,Lucas Oil Stadium,Indianapolis,IN,39.7601,-86.1639,67000,NFL,['IND'],manual,
+manual_nfl_jax,EverBank Stadium,Jacksonville,FL,30.3239,-81.6373,67814,NFL,['JAX'],manual,
+manual_nfl_kc,GEHA Field at Arrowhead Stadium,Kansas City,MO,39.0489,-94.4839,76416,NFL,['KC'],manual,
+manual_nfl_lv,Allegiant Stadium,Las Vegas,NV,36.0909,-115.1833,65000,NFL,['LV'],manual,
+manual_nfl_lac,SoFi Stadium,Inglewood,CA,33.9535,-118.3392,70240,NFL,['LAC'],manual,
+manual_nfl_lar,SoFi Stadium,Inglewood,CA,33.9535,-118.3392,70240,NFL,['LAR'],manual,
+manual_nfl_mia,Hard Rock Stadium,Miami Gardens,FL,25.958,-80.2389,65326,NFL,['MIA'],manual,
+manual_nfl_min,U.S. Bank Stadium,Minneapolis,MN,44.9737,-93.2577,66655,NFL,['MIN'],manual,
+manual_nfl_ne,Gillette Stadium,Foxborough,MA,42.0909,-71.2643,65878,NFL,['NE'],manual,
+manual_nfl_no,Caesars Superdome,New Orleans,LA,29.9511,-90.0812,73208,NFL,['NO'],manual,
+manual_nfl_nyg,MetLife Stadium,East Rutherford,NJ,40.8128,-74.0742,82500,NFL,['NYG'],manual,
+manual_nfl_nyj,MetLife Stadium,East Rutherford,NJ,40.8128,-74.0742,82500,NFL,['NYJ'],manual,
+manual_nfl_phi,Lincoln Financial Field,Philadelphia,PA,39.9008,-75.1674,69176,NFL,['PHI'],manual,
+manual_nfl_pit,Acrisure Stadium,Pittsburgh,PA,40.4468,-80.0158,68400,NFL,['PIT'],manual,
+manual_nfl_sf,Levi's Stadium,Santa Clara,CA,37.4032,-121.9698,68500,NFL,['SF'],manual,
+manual_nfl_sea,Lumen Field,Seattle,WA,47.5952,-122.3316,68740,NFL,['SEA'],manual,
+manual_nfl_tb,Raymond James Stadium,Tampa,FL,27.9759,-82.5033,65618,NFL,['TB'],manual,
+manual_nfl_ten,Nissan Stadium,Nashville,TN,36.1665,-86.7713,69143,NFL,['TEN'],manual,
+manual_nfl_was,Northwest Stadium,Landover,MD,38.9076,-76.8645,67617,NFL,['WAS'],manual,

Scripts/data/stadiums_canonical.json

@@ -1286,5 +1286,789 @@
       "WPG"
     ],
     "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_gateway_center_arena",
+    "name": "Gateway Center Arena",
+    "city": "College Park",
+    "state": "GA",
+    "latitude": 33.6534,
+    "longitude": -84.448,
+    "capacity": 3500,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "ATL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_wintrust_arena",
+    "name": "Wintrust Arena",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.8622,
+    "longitude": -87.6164,
+    "capacity": 10387,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_mohegan_sun_arena",
+    "name": "Mohegan Sun Arena",
+    "city": "Uncasville",
+    "state": "CT",
+    "latitude": 41.4946,
+    "longitude": -72.0874,
+    "capacity": 10000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "CON"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_college_park_center",
+    "name": "College Park Center",
+    "city": "Arlington",
+    "state": "TX",
+    "latitude": 32.7298,
+    "longitude": -97.1137,
+    "capacity": 7000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "DAL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_chase_center",
+    "name": "Chase Center",
+    "city": "San Francisco",
+    "state": "CA",
+    "latitude": 37.768,
+    "longitude": -122.3879,
+    "capacity": 18064,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "GSV"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_gainbridge_fieldhouse",
+    "name": "Gainbridge Fieldhouse",
+    "city": "Indianapolis",
+    "state": "IN",
+    "latitude": 39.764,
+    "longitude": -86.1555,
+    "capacity": 17274,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "IND"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_michelob_ultra_arena",
+    "name": "Michelob Ultra Arena",
+    "city": "Las Vegas",
+    "state": "NV",
+    "latitude": 36.0929,
+    "longitude": -115.1757,
+    "capacity": 12000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "LVA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_cryptocom_arena",
+    "name": "Crypto.com Arena",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.043,
+    "longitude": -118.2673,
+    "capacity": 19068,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "LAS"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_target_center",
+    "name": "Target Center",
+    "city": "Minneapolis",
+    "state": "MN",
+    "latitude": 44.9795,
+    "longitude": -93.2761,
+    "capacity": 17500,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "MIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_barclays_center",
+    "name": "Barclays Center",
+    "city": "Brooklyn",
+    "state": "NY",
+    "latitude": 40.6826,
+    "longitude": -73.9754,
+    "capacity": 17732,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "NYL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_footprint_center",
+    "name": "Footprint Center",
+    "city": "Phoenix",
+    "state": "AZ",
+    "latitude": 33.4457,
+    "longitude": -112.0712,
+    "capacity": 17000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "PHX"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_climate_pledge_arena",
+    "name": "Climate Pledge Arena",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.6221,
+    "longitude": -122.354,
+    "capacity": 17100,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "SEA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_entertainment_sports_arena",
+    "name": "Entertainment & Sports Arena",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8701,
+    "longitude": -76.9728,
+    "capacity": 4200,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "WAS"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_mercedesbenz_stadium",
+    "name": "Mercedes-Benz Stadium",
+    "city": "Atlanta",
+    "state": "GA",
+    "latitude": 33.7553,
+    "longitude": -84.4006,
+    "capacity": 71000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ATL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_q2_stadium",
+    "name": "Q2 Stadium",
+    "city": "Austin",
+    "state": "TX",
+    "latitude": 30.3876,
+    "longitude": -97.72,
+    "capacity": 20738,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ATX"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bank_of_america_stadium",
+    "name": "Bank of America Stadium",
+    "city": "Charlotte",
+    "state": "NC",
+    "latitude": 35.2258,
+    "longitude": -80.8528,
+    "capacity": 74867,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CLT"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_soldier_field",
+    "name": "Soldier Field",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.8623,
+    "longitude": -87.6167,
+    "capacity": 61500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_tql_stadium",
+    "name": "TQL Stadium",
+    "city": "Cincinnati",
+    "state": "OH",
+    "latitude": 39.1113,
+    "longitude": -84.5212,
+    "capacity": 26000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_dicks_sporting_goods_park",
+    "name": "Dick's Sporting Goods Park",
+    "city": "Commerce City",
+    "state": "CO",
+    "latitude": 39.8056,
+    "longitude": -104.8919,
+    "capacity": 18061,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "COL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_lowercom_field",
+    "name": "Lower.com Field",
+    "city": "Columbus",
+    "state": "OH",
+    "latitude": 39.9689,
+    "longitude": -83.0173,
+    "capacity": 20371,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CLB"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_toyota_stadium",
+    "name": "Toyota Stadium",
+    "city": "Frisco",
+    "state": "TX",
+    "latitude": 33.1546,
+    "longitude": -96.8353,
+    "capacity": 20500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "DAL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_audi_field",
+    "name": "Audi Field",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8686,
+    "longitude": -77.0128,
+    "capacity": 20000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "DCU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_shell_energy_stadium",
+    "name": "Shell Energy Stadium",
+    "city": "Houston",
+    "state": "TX",
+    "latitude": 29.7523,
+    "longitude": -95.3522,
+    "capacity": 22039,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "HOU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_dignity_health_sports_park",
+    "name": "Dignity Health Sports Park",
+    "city": "Carson",
+    "state": "CA",
+    "latitude": 33.8644,
+    "longitude": -118.2611,
+    "capacity": 27000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "LAG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bmo_stadium",
+    "name": "BMO Stadium",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.0128,
+    "longitude": -118.2841,
+    "capacity": 22000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "LAFC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_chase_stadium",
+    "name": "Chase Stadium",
+    "city": "Fort Lauderdale",
+    "state": "FL",
+    "latitude": 26.1902,
+    "longitude": -80.163,
+    "capacity": 21550,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MIA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_allianz_field",
+    "name": "Allianz Field",
+    "city": "St. Paul",
+    "state": "MN",
+    "latitude": 44.9532,
+    "longitude": -93.1653,
+    "capacity": 19400,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_stade_saputo",
+    "name": "Stade Saputo",
+    "city": "Montreal",
+    "state": "QC",
+    "latitude": 45.5628,
+    "longitude": -73.553,
+    "capacity": 19619,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MTL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_geodis_park",
+    "name": "Geodis Park",
+    "city": "Nashville",
+    "state": "TN",
+    "latitude": 36.1303,
+    "longitude": -86.7663,
+    "capacity": 30000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NSH"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_gillette_stadium",
+    "name": "Gillette Stadium",
+    "city": "Foxborough",
+    "state": "MA",
+    "latitude": 42.0909,
+    "longitude": -71.2643,
+    "capacity": 65878,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NER"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_yankee_stadium",
+    "name": "Yankee Stadium",
+    "city": "New York",
+    "state": "NY",
+    "latitude": 40.8296,
+    "longitude": -73.9262,
+    "capacity": 46537,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NYC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_red_bull_arena",
+    "name": "Red Bull Arena",
+    "city": "Harrison",
+    "state": "NJ",
+    "latitude": 40.7368,
+    "longitude": -74.1503,
+    "capacity": 25000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "RBNY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_interco_stadium",
+    "name": "Inter&Co Stadium",
+    "city": "Orlando",
+    "state": "FL",
+    "latitude": 28.5411,
+    "longitude": -81.3899,
+    "capacity": 25500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ORL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_subaru_park",
+    "name": "Subaru Park",
+    "city": "Chester",
+    "state": "PA",
+    "latitude": 39.8328,
+    "longitude": -75.3789,
+    "capacity": 18500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "PHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_providence_park",
+    "name": "Providence Park",
+    "city": "Portland",
+    "state": "OR",
+    "latitude": 45.5217,
+    "longitude": -122.6917,
+    "capacity": 25218,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "POR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_america_first_field",
+    "name": "America First Field",
+    "city": "Sandy",
+    "state": "UT",
+    "latitude": 40.5828,
+    "longitude": -111.8933,
+    "capacity": 20213,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "RSL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_paypal_park",
+    "name": "PayPal Park",
+    "city": "San Jose",
+    "state": "CA",
+    "latitude": 37.3513,
+    "longitude": -121.9253,
+    "capacity": 18000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SJE"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_lumen_field",
+    "name": "Lumen Field",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.5952,
+    "longitude": -122.3316,
+    "capacity": 68740,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SEA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_childrens_mercy_park",
+    "name": "Children's Mercy Park",
+    "city": "Kansas City",
+    "state": "KS",
+    "latitude": 39.1218,
+    "longitude": -94.8234,
+    "capacity": 18467,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SKC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_citypark",
+    "name": "CityPark",
+    "city": "St. Louis",
+    "state": "MO",
+    "latitude": 38.6322,
+    "longitude": -90.2094,
+    "capacity": 22500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "STL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bmo_field",
+    "name": "BMO Field",
+    "city": "Toronto",
+    "state": "ON",
+    "latitude": 43.6332,
+    "longitude": -79.4186,
+    "capacity": 30000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "TOR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bc_place",
+    "name": "BC Place",
+    "city": "Vancouver",
+    "state": "BC",
+    "latitude": 49.2768,
+    "longitude": -123.1118,
+    "capacity": 54320,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "VAN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_snapdragon_stadium",
+    "name": "Snapdragon Stadium",
+    "city": "San Diego",
+    "state": "CA",
+    "latitude": 32.7839,
+    "longitude": -117.1224,
+    "capacity": 35000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SDG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_bmo_stadium",
+    "name": "BMO Stadium",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.0128,
+    "longitude": -118.2841,
+    "capacity": 22000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "ANG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_paypal_park",
+    "name": "PayPal Park",
+    "city": "San Jose",
+    "state": "CA",
+    "latitude": 37.3513,
+    "longitude": -121.9253,
+    "capacity": 18000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "BAY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_seatgeek_stadium",
+    "name": "SeatGeek Stadium",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.6462,
+    "longitude": -87.7304,
+    "capacity": 20000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_shell_energy_stadium",
+    "name": "Shell Energy Stadium",
+    "city": "Houston",
+    "state": "TX",
+    "latitude": 29.7523,
+    "longitude": -95.3522,
+    "capacity": 22039,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "HOU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_cpkc_stadium",
+    "name": "CPKC Stadium",
+    "city": "Kansas City",
+    "state": "KS",
+    "latitude": 39.0851,
+    "longitude": -94.5582,
+    "capacity": 11500,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "KCC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_red_bull_arena",
+    "name": "Red Bull Arena",
+    "city": "Harrison",
+    "state": "NJ",
+    "latitude": 40.7368,
+    "longitude": -74.1503,
+    "capacity": 25000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "NJY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_wakemed_soccer_park",
+    "name": "WakeMed Soccer Park",
+    "city": "Cary",
+    "state": "NC",
+    "latitude": 35.8589,
+    "longitude": -78.7989,
+    "capacity": 10000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "NCC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_interco_stadium",
+    "name": "Inter&Co Stadium",
+    "city": "Orlando",
+    "state": "FL",
+    "latitude": 28.5411,
+    "longitude": -81.3899,
+    "capacity": 25500,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "ORL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_providence_park",
+    "name": "Providence Park",
+    "city": "Portland",
+    "state": "OR",
+    "latitude": 45.5217,
+    "longitude": -122.6917,
+    "capacity": 25218,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "POR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_lumen_field",
+    "name": "Lumen Field",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.5952,
+    "longitude": -122.3316,
+    "capacity": 68740,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "RGN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_snapdragon_stadium",
+    "name": "Snapdragon Stadium",
+    "city": "San Diego",
+    "state": "CA",
+    "latitude": 32.7839,
+    "longitude": -117.1224,
+    "capacity": 35000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "SDW"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_america_first_field",
+    "name": "America First Field",
+    "city": "Sandy",
+    "state": "UT",
+    "latitude": 40.5828,
+    "longitude": -111.8933,
+    "capacity": 20213,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "UTA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_audi_field",
+    "name": "Audi Field",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8686,
+    "longitude": -77.0128,
+    "capacity": 20000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "WSH"
+    ],
+    "year_opened": null
   }
 ]

Scripts/run_canonicalization_pipeline.py

@@ -31,9 +31,24 @@ from dataclasses import dataclass, asdict
 
 # Import pipeline components
 from scrape_schedules import (
-    scrape_nba_basketball_reference,
-    scrape_mlb_statsapi,
-    scrape_nhl_hockey_reference,
+    ScraperSource, scrape_with_fallback,
+    # NBA sources
+    scrape_nba_basketball_reference, scrape_nba_espn, scrape_nba_cbssports,
+    # MLB sources
+    scrape_mlb_statsapi, scrape_mlb_baseball_reference, scrape_mlb_espn,
+    # NHL sources
+    scrape_nhl_hockey_reference, scrape_nhl_espn, scrape_nhl_api,
+    # NFL sources
+    scrape_nfl_espn, scrape_nfl_pro_football_reference, scrape_nfl_cbssports,
+    # WNBA sources
+    scrape_wnba_espn, scrape_wnba_basketball_reference, scrape_wnba_cbssports,
+    # MLS sources
+    scrape_mls_espn, scrape_mls_fbref, scrape_mls_mlssoccer,
+    # NWSL sources
+    scrape_nwsl_espn, scrape_nwsl_fbref, scrape_nwsl_nwslsoccer,
+    # CBB sources
+    scrape_cbb_espn, scrape_cbb_sports_reference, scrape_cbb_cbssports,
+    # Utilities
     generate_stadiums_from_teams,
     assign_stable_ids,
     export_to_json,
@@ -114,28 +129,90 @@ def run_pipeline(
         all_stadiums = generate_stadiums_from_teams()
         print(f"  Generated {len(all_stadiums)} stadiums from team data")
 
-        # Scrape NBA
+        # Scrape all sports with multi-source fallback
         print_section(f"NBA {season}")
-        nba_games = scrape_nba_basketball_reference(season)
+        nba_sources = [
+            ScraperSource('Basketball-Reference', scrape_nba_basketball_reference, priority=1, min_games=500),
+            ScraperSource('ESPN', scrape_nba_espn, priority=2, min_games=500),
+            ScraperSource('CBS Sports', scrape_nba_cbssports, priority=3, min_games=100),
+        ]
+        nba_games = scrape_with_fallback('NBA', season, nba_sources)
         nba_season = f"{season-1}-{str(season)[2:]}"
         nba_games = assign_stable_ids(nba_games, 'NBA', nba_season)
         all_games.extend(nba_games)
-        print(f"  Scraped {len(nba_games)} NBA games")
 
-        # Scrape MLB
         print_section(f"MLB {season}")
-        mlb_games = scrape_mlb_statsapi(season)
+        mlb_sources = [
+            ScraperSource('MLB Stats API', scrape_mlb_statsapi, priority=1, min_games=1000),
+            ScraperSource('Baseball-Reference', scrape_mlb_baseball_reference, priority=2, min_games=500),
+            ScraperSource('ESPN', scrape_mlb_espn, priority=3, min_games=500),
+        ]
+        mlb_games = scrape_with_fallback('MLB', season, mlb_sources)
         mlb_games = assign_stable_ids(mlb_games, 'MLB', str(season))
         all_games.extend(mlb_games)
-        print(f"  Scraped {len(mlb_games)} MLB games")
 
-        # Scrape NHL
         print_section(f"NHL {season}")
-        nhl_games = scrape_nhl_hockey_reference(season)
+        nhl_sources = [
+            ScraperSource('Hockey-Reference', scrape_nhl_hockey_reference, priority=1, min_games=500),
+            ScraperSource('ESPN', scrape_nhl_espn, priority=2, min_games=500),
+            ScraperSource('NHL API', scrape_nhl_api, priority=3, min_games=100),
+        ]
+        nhl_games = scrape_with_fallback('NHL', season, nhl_sources)
         nhl_season = f"{season-1}-{str(season)[2:]}"
         nhl_games = assign_stable_ids(nhl_games, 'NHL', nhl_season)
         all_games.extend(nhl_games)
-        print(f"  Scraped {len(nhl_games)} NHL games")
+
+        print_section(f"NFL {season}")
+        nfl_sources = [
+            ScraperSource('ESPN', scrape_nfl_espn, priority=1, min_games=200),
+            ScraperSource('Pro-Football-Reference', scrape_nfl_pro_football_reference, priority=2, min_games=200),
+            ScraperSource('CBS Sports', scrape_nfl_cbssports, priority=3, min_games=100),
+        ]
+        nfl_games = scrape_with_fallback('NFL', season, nfl_sources)
+        nfl_season = f"{season-1}-{str(season)[2:]}"
+        nfl_games = assign_stable_ids(nfl_games, 'NFL', nfl_season)
+        all_games.extend(nfl_games)
+
+        print_section(f"WNBA {season}")
+        wnba_sources = [
+            ScraperSource('ESPN', scrape_wnba_espn, priority=1, min_games=100),
+            ScraperSource('Basketball-Reference', scrape_wnba_basketball_reference, priority=2, min_games=100),
+            ScraperSource('CBS Sports', scrape_wnba_cbssports, priority=3, min_games=50),
+        ]
+        wnba_games = scrape_with_fallback('WNBA', season, wnba_sources)
+        wnba_games = assign_stable_ids(wnba_games, 'WNBA', str(season))
+        all_games.extend(wnba_games)
+
+        print_section(f"MLS {season}")
+        mls_sources = [
+            ScraperSource('ESPN', scrape_mls_espn, priority=1, min_games=200),
+            ScraperSource('FBref', scrape_mls_fbref, priority=2, min_games=100),
+            ScraperSource('MLSSoccer.com', scrape_mls_mlssoccer, priority=3, min_games=100),
+        ]
+        mls_games = scrape_with_fallback('MLS', season, mls_sources)
+        mls_games = assign_stable_ids(mls_games, 'MLS', str(season))
+        all_games.extend(mls_games)
+
+        print_section(f"NWSL {season}")
+        nwsl_sources = [
+            ScraperSource('ESPN', scrape_nwsl_espn, priority=1, min_games=100),
+            ScraperSource('FBref', scrape_nwsl_fbref, priority=2, min_games=50),
+            ScraperSource('NWSL.com', scrape_nwsl_nwslsoccer, priority=3, min_games=50),
+        ]
+        nwsl_games = scrape_with_fallback('NWSL', season, nwsl_sources)
+        nwsl_games = assign_stable_ids(nwsl_games, 'NWSL', str(season))
+        all_games.extend(nwsl_games)
+
+        print_section(f"CBB {season}")
+        cbb_sources = [
+            ScraperSource('ESPN', scrape_cbb_espn, priority=1, min_games=1000),
+            ScraperSource('Sports-Reference', scrape_cbb_sports_reference, priority=2, min_games=500),
+            ScraperSource('CBS Sports', scrape_cbb_cbssports, priority=3, min_games=300),
+        ]
+        cbb_games = scrape_with_fallback('CBB', season, cbb_sources)
+        cbb_season = f"{season-1}-{str(season)[2:]}"
+        cbb_games = assign_stable_ids(cbb_games, 'CBB', cbb_season)
+        all_games.extend(cbb_games)
 
         # Export raw data
         print_section("Exporting Raw Data")
@@ -148,16 +225,36 @@ def run_pipeline(
     else:
         print_header("LOADING EXISTING RAW DATA")
 
-        games_file = output_dir / 'games.json'
-        stadiums_file = output_dir / 'stadiums.json'
+        # Try loading from new structure first (games/*.json)
+        games_dir = output_dir / 'games'
+        raw_games = []
 
-        with open(games_file) as f:
-            raw_games = json.load(f)
-        print(f"  Loaded {len(raw_games)} raw games")
+        if games_dir.exists() and any(games_dir.glob('*.json')):
+            print_section("Loading from games/ directory")
+            for games_file in sorted(games_dir.glob('*.json')):
+                with open(games_file) as f:
+                    file_games = json.load(f)
+                    raw_games.extend(file_games)
+                    print(f"  Loaded {len(file_games):,} games from {games_file.name}")
+        else:
+            # Fallback to legacy games.json
+            print_section("Loading from legacy games.json")
+            games_file = output_dir / 'games.json'
+            with open(games_file) as f:
+                raw_games = json.load(f)
 
-        with open(stadiums_file) as f:
-            raw_stadiums = json.load(f)
-        print(f"  Loaded {len(raw_stadiums)} raw stadiums")
+        print(f"  Total: {len(raw_games):,} raw games")
+
+        # Try loading stadiums from canonical/ first, then legacy
+        canonical_dir = output_dir / 'canonical'
+        if (canonical_dir / 'stadiums.json').exists():
+            with open(canonical_dir / 'stadiums.json') as f:
+                raw_stadiums = json.load(f)
+            print(f"  Loaded {len(raw_stadiums)} raw stadiums from canonical/stadiums.json")
+        else:
+            with open(output_dir / 'stadiums.json') as f:
+                raw_stadiums = json.load(f)
+            print(f"  Loaded {len(raw_stadiums)} raw stadiums from stadiums.json")
 
     # =========================================================================
     # STAGE 2: CANONICALIZE STADIUMS
@@ -242,13 +339,32 @@ def run_pipeline(
             for issue, count in by_issue.items():
                 print(f"    - {issue}: {count}")
 
-    # Export
-    games_canonical_path = output_dir / 'games_canonical.json'
+    # Export games to new structure: canonical/games/{sport}_{season}.json
+    canonical_games_dir = output_dir / 'canonical' / 'games'
+    canonical_games_dir.mkdir(parents=True, exist_ok=True)
 
+    # Group games by sport and season
+    games_by_sport_season = {}
+    for game in canonical_games_list:
+        sport = game.sport.lower()
+        season = game.season
+        key = f"{sport}_{season}"
+        if key not in games_by_sport_season:
+            games_by_sport_season[key] = []
+        games_by_sport_season[key].append(game)
+
+    # Export each sport/season file
+    for key, sport_games in sorted(games_by_sport_season.items()):
+        filepath = canonical_games_dir / f"{key}.json"
+        with open(filepath, 'w') as f:
+            json.dump([asdict(g) for g in sport_games], f, indent=2)
+        print(f"  Exported {len(sport_games):,} games to canonical/games/{key}.json")
+
+    # Also export combined games_canonical.json for backward compatibility
+    games_canonical_path = output_dir / 'games_canonical.json'
     with open(games_canonical_path, 'w') as f:
         json.dump([asdict(g) for g in canonical_games_list], f, indent=2)
-
-    print(f"  Exported to {games_canonical_path}")
+    print(f"  Exported combined to {games_canonical_path}")
 
     # =========================================================================
     # STAGE 5: VALIDATE
@@ -320,7 +436,8 @@ def run_pipeline(
     print(f"    - {output_dir / 'stadiums_canonical.json'}")
     print(f"    - {output_dir / 'stadium_aliases.json'}")
     print(f"    - {output_dir / 'teams_canonical.json'}")
-    print(f"    - {output_dir / 'games_canonical.json'}")
+    print(f"    - {output_dir / 'games_canonical.json'} (combined)")
+    print(f"    - {output_dir / 'canonical' / 'games' / '*.json'} (by sport/season)")
     print(f"    - {output_dir / 'canonicalization_validation.json'}")
     print()
 

Scripts/run_pipeline.py

@@ -23,10 +23,24 @@ from enum import Enum
 
 # Import our modules
 from scrape_schedules import (
-    Game, Stadium,
-    scrape_nba_basketball_reference,
-    scrape_mlb_statsapi, scrape_mlb_baseball_reference,
-    scrape_nhl_hockey_reference,
+    Game, Stadium, ScraperSource, scrape_with_fallback,
+    # NBA sources
+    scrape_nba_basketball_reference, scrape_nba_espn, scrape_nba_cbssports,
+    # MLB sources
+    scrape_mlb_statsapi, scrape_mlb_baseball_reference, scrape_mlb_espn,
+    # NHL sources
+    scrape_nhl_hockey_reference, scrape_nhl_espn, scrape_nhl_api,
+    # NFL sources
+    scrape_nfl_espn, scrape_nfl_pro_football_reference, scrape_nfl_cbssports,
+    # WNBA sources
+    scrape_wnba_espn, scrape_wnba_basketball_reference, scrape_wnba_cbssports,
+    # MLS sources
+    scrape_mls_espn, scrape_mls_fbref, scrape_mls_mlssoccer,
+    # NWSL sources
+    scrape_nwsl_espn, scrape_nwsl_fbref, scrape_nwsl_nwslsoccer,
+    # CBB sources
+    scrape_cbb_espn, scrape_cbb_sports_reference, scrape_cbb_cbssports,
+    # Utilities
     generate_stadiums_from_teams,
     export_to_json,
     assign_stable_ids,
@@ -119,10 +133,15 @@ def run_pipeline(
         all_stadiums = generate_stadiums_from_teams()
         print(f"  Generated {len(all_stadiums)} stadiums from team data")
 
-        # Scrape by sport
+        # Scrape by sport with multi-source fallback
         if sport in ['nba', 'all']:
             print_section(f"NBA {season}")
-            nba_games = scrape_nba_basketball_reference(season)
+            nba_sources = [
+                ScraperSource('Basketball-Reference', scrape_nba_basketball_reference, priority=1, min_games=500),
+                ScraperSource('ESPN', scrape_nba_espn, priority=2, min_games=500),
+                ScraperSource('CBS Sports', scrape_nba_cbssports, priority=3, min_games=100),
+            ]
+            nba_games = scrape_with_fallback('NBA', season, nba_sources)
             nba_season = f"{season-1}-{str(season)[2:]}"
             nba_games = assign_stable_ids(nba_games, 'NBA', nba_season)
             all_games.extend(nba_games)
@@ -130,19 +149,91 @@ def run_pipeline(
 
         if sport in ['mlb', 'all']:
             print_section(f"MLB {season}")
-            mlb_games = scrape_mlb_statsapi(season)
-            # MLB API uses official gamePk - already stable
+            mlb_sources = [
+                ScraperSource('MLB Stats API', scrape_mlb_statsapi, priority=1, min_games=1000),
+                ScraperSource('Baseball-Reference', scrape_mlb_baseball_reference, priority=2, min_games=500),
+                ScraperSource('ESPN', scrape_mlb_espn, priority=3, min_games=500),
+            ]
+            mlb_games = scrape_with_fallback('MLB', season, mlb_sources)
+            mlb_games = assign_stable_ids(mlb_games, 'MLB', str(season))
             all_games.extend(mlb_games)
             games_by_sport['MLB'] = len(mlb_games)
 
         if sport in ['nhl', 'all']:
             print_section(f"NHL {season}")
-            nhl_games = scrape_nhl_hockey_reference(season)
+            nhl_sources = [
+                ScraperSource('Hockey-Reference', scrape_nhl_hockey_reference, priority=1, min_games=500),
+                ScraperSource('ESPN', scrape_nhl_espn, priority=2, min_games=500),
+                ScraperSource('NHL API', scrape_nhl_api, priority=3, min_games=100),
+            ]
+            nhl_games = scrape_with_fallback('NHL', season, nhl_sources)
             nhl_season = f"{season-1}-{str(season)[2:]}"
             nhl_games = assign_stable_ids(nhl_games, 'NHL', nhl_season)
             all_games.extend(nhl_games)
             games_by_sport['NHL'] = len(nhl_games)
 
+        if sport in ['nfl', 'all']:
+            print_section(f"NFL {season}")
+            nfl_sources = [
+                ScraperSource('ESPN', scrape_nfl_espn, priority=1, min_games=200),
+                ScraperSource('Pro-Football-Reference', scrape_nfl_pro_football_reference, priority=2, min_games=200),
+                ScraperSource('CBS Sports', scrape_nfl_cbssports, priority=3, min_games=100),
+            ]
+            nfl_games = scrape_with_fallback('NFL', season, nfl_sources)
+            nfl_season = f"{season-1}-{str(season)[2:]}"
+            nfl_games = assign_stable_ids(nfl_games, 'NFL', nfl_season)
+            all_games.extend(nfl_games)
+            games_by_sport['NFL'] = len(nfl_games)
+
+        if sport in ['wnba', 'all']:
+            print_section(f"WNBA {season}")
+            wnba_sources = [
+                ScraperSource('ESPN', scrape_wnba_espn, priority=1, min_games=100),
+                ScraperSource('Basketball-Reference', scrape_wnba_basketball_reference, priority=2, min_games=100),
+                ScraperSource('CBS Sports', scrape_wnba_cbssports, priority=3, min_games=50),
+            ]
+            wnba_games = scrape_with_fallback('WNBA', season, wnba_sources)
+            wnba_games = assign_stable_ids(wnba_games, 'WNBA', str(season))
+            all_games.extend(wnba_games)
+            games_by_sport['WNBA'] = len(wnba_games)
+
+        if sport in ['mls', 'all']:
+            print_section(f"MLS {season}")
+            mls_sources = [
+                ScraperSource('ESPN', scrape_mls_espn, priority=1, min_games=200),
+                ScraperSource('FBref', scrape_mls_fbref, priority=2, min_games=100),
+                ScraperSource('MLSSoccer.com', scrape_mls_mlssoccer, priority=3, min_games=100),
+            ]
+            mls_games = scrape_with_fallback('MLS', season, mls_sources)
+            mls_games = assign_stable_ids(mls_games, 'MLS', str(season))
+            all_games.extend(mls_games)
+            games_by_sport['MLS'] = len(mls_games)
+
+        if sport in ['nwsl', 'all']:
+            print_section(f"NWSL {season}")
+            nwsl_sources = [
+                ScraperSource('ESPN', scrape_nwsl_espn, priority=1, min_games=100),
+                ScraperSource('FBref', scrape_nwsl_fbref, priority=2, min_games=50),
+                ScraperSource('NWSL.com', scrape_nwsl_nwslsoccer, priority=3, min_games=50),
+            ]
+            nwsl_games = scrape_with_fallback('NWSL', season, nwsl_sources)
+            nwsl_games = assign_stable_ids(nwsl_games, 'NWSL', str(season))
+            all_games.extend(nwsl_games)
+            games_by_sport['NWSL'] = len(nwsl_games)
+
+        if sport in ['cbb', 'all']:
+            print_section(f"CBB {season}")
+            cbb_sources = [
+                ScraperSource('ESPN', scrape_cbb_espn, priority=1, min_games=1000),
+                ScraperSource('Sports-Reference', scrape_cbb_sports_reference, priority=2, min_games=500),
+                ScraperSource('CBS Sports', scrape_cbb_cbssports, priority=3, min_games=300),
+            ]
+            cbb_games = scrape_with_fallback('CBB', season, cbb_sources)
+            cbb_season = f"{season-1}-{str(season)[2:]}"
+            cbb_games = assign_stable_ids(cbb_games, 'CBB', cbb_season)
+            all_games.extend(cbb_games)
+            games_by_sport['CBB'] = len(cbb_games)
+
         # Export data
         print_section("Exporting Data")
         export_to_json(all_games, all_stadiums, output_dir)
@@ -233,6 +324,17 @@ def run_pipeline(
                 if count < 75 or count > 90:
                     print(f"  NHL: {team} has {count} games (expected ~82)")
 
+        if sport in ['nfl', 'all']:
+            nfl_games = [g for g in all_games if g.sport == 'NFL']
+            team_counts = {}
+            for g in nfl_games:
+                team_counts[g.home_team_abbrev] = team_counts.get(g.home_team_abbrev, 0) + 1
+                team_counts[g.away_team_abbrev] = team_counts.get(g.away_team_abbrev, 0) + 1
+
+            for team, count in sorted(team_counts.items()):
+                if count < 15 or count > 20:
+                    print(f"  NFL: {team} has {count} games (expected ~17)")
+
     # =========================================================================
     # PHASE 3: GENERATE REPORT
     # =========================================================================
@@ -396,7 +498,7 @@ Examples:
         help='Season year (default: 2025)'
     )
     parser.add_argument(
-        '--sport', choices=['nba', 'mlb', 'nhl', 'all'], default='all',
+        '--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'], default='all',
         help='Sport to process (default: all)'
     )
     parser.add_argument(

Scripts/validate_canonical.py

@@ -67,6 +67,32 @@ EXPECTED_GAMES = {
         'max': 168,
         'description': 'MLB regular season (162 games)'
     },
+    'nfl': {
+        'expected': 17,
+        'min': 15,
+        'max': 20,
+        'description': 'NFL regular season (17 games)'
+    },
+    'wnba': {
+        'expected': 40,
+        'min': 35,
+        'max': 45,
+        'description': 'WNBA regular season (40 games)'
+    },
+    'mls': {
+        'expected': 34,
+        'min': 30,
+        'max': 40,
+        'description': 'MLS regular season (34 games)'
+    },
+    'nwsl': {
+        'expected': 26,
+        'min': 22,
+        'max': 30,
+        'description': 'NWSL regular season (26 games)'
+    },
+    # Note: CBB doesn't have fixed game counts per "team"
+    # CBB teams vary widely (30+ games)
 }
 
 

Scripts/validate_data.py

@@ -22,7 +22,10 @@ from scrape_schedules import (
     scrape_nba_basketball_reference,
     scrape_mlb_statsapi, scrape_mlb_baseball_reference,
     scrape_nhl_hockey_reference,
-    NBA_TEAMS, MLB_TEAMS, NHL_TEAMS,
+    scrape_wnba_espn, scrape_mls_espn, scrape_nwsl_espn,
+    scrape_nfl_espn, scrape_cbb_espn,
+    NBA_TEAMS, MLB_TEAMS, NHL_TEAMS, WNBA_TEAMS, MLS_TEAMS, NWSL_TEAMS,
+    NFL_TEAMS,
     assign_stable_ids,
 )
 
@@ -136,7 +139,11 @@ def generate_game_key(game: Game) -> str:
 
 def normalize_team_name(name: str, sport: str) -> str:
     """Normalize team name variations."""
-    teams = {'NBA': NBA_TEAMS, 'MLB': MLB_TEAMS, 'NHL': NHL_TEAMS}.get(sport, {})
+    teams = {
+        'NBA': NBA_TEAMS, 'MLB': MLB_TEAMS, 'NHL': NHL_TEAMS,
+        'WNBA': WNBA_TEAMS, 'MLS': MLS_TEAMS, 'NWSL': NWSL_TEAMS,
+        'NFL': NFL_TEAMS,
+    }.get(sport, {})
 
     name_lower = name.lower().strip()
 
@@ -465,7 +472,7 @@ def main():
     parser.add_argument('--data-dir', type=str, default='./data', help='Data directory')
     parser.add_argument('--scrape-and-validate', action='store_true', help='Scrape fresh and validate')
     parser.add_argument('--season', type=int, default=2025, help='Season year')
-    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'all'], default='all')
+    parser.add_argument('--sport', choices=['nba', 'mlb', 'nhl', 'nfl', 'wnba', 'mls', 'nwsl', 'cbb', 'all'], default='all')
     parser.add_argument('--output', type=str, default='./data/validation_report.json')
 
     args = parser.parse_args()

SportsTime/Core/Models/Domain/Sport.swift

@@ -12,6 +12,9 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
     case nhl = "NHL"
     case nfl = "NFL"
     case mls = "MLS"
+    case wnba = "WNBA"
+    case nwsl = "NWSL"
+    case cbb = "CBB"
 
     var id: String { rawValue }
 
@@ -22,6 +25,9 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
         case .nhl: return "National Hockey League"
         case .nfl: return "National Football League"
         case .mls: return "Major League Soccer"
+        case .wnba: return "Women's National Basketball Association"
+        case .nwsl: return "National Women's Soccer League"
+        case .cbb: return "College Basketball"
         }
     }
 
@@ -32,6 +38,9 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
         case .nhl: return "hockey.puck.fill"
         case .nfl: return "football.fill"
         case .mls: return "soccerball"
+        case .wnba: return "basketball.fill"
+        case .nwsl: return "soccerball"
+        case .cbb: return "basketball.fill"
         }
     }
 
@@ -42,6 +51,9 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
         case .nhl: return .blue
         case .nfl: return .brown
         case .mls: return .green
+        case .wnba: return .purple
+        case .nwsl: return .teal
+        case .cbb: return .mint
         }
     }
 
@@ -53,6 +65,9 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
         case .nhl: return (10, 6)   // October - June (wraps)
         case .nfl: return (9, 2)    // September - February (wraps)
         case .mls: return (2, 12)   // February - December
+        case .wnba: return (5, 10)  // May - October
+        case .nwsl: return (3, 11)  // March - November
+        case .cbb: return (11, 4)   // November - April (wraps, March Madness)
         }
     }
 
@@ -70,8 +85,19 @@ enum Sport: String, Codable, CaseIterable, Identifiable {
         }
     }
 
-    /// Currently supported sports for MVP
+    /// Currently supported sports
     static var supported: [Sport] {
-        [.mlb, .nba, .nhl]
+        [.mlb, .nba, .nfl, .nhl, .mls, .wnba, .nwsl, .cbb]
+    }
+}
+
+// MARK: - Array Chunking
+
+extension Array {
+    /// Splits array into chunks of specified size
+    func chunked(into size: Int) -> [[Element]] {
+        stride(from: 0, to: count, by: size).map {
+            Array(self[$0..<Swift.min($0 + size, count)])
+        }
     }
 }

SportsTime/Core/Models/Domain/TripPreferences.swift

@@ -25,7 +25,7 @@ enum PlanningMode: String, Codable, CaseIterable, Identifiable {
 
     var description: String {
         switch self {
-        case .dateRange: return "Find games within a date range"
+        case .dateRange: return "Shows a curated sample of possible routes — use filters to find your ideal trip"
         case .gameFirst: return "Build trip around specific games"
         case .locations: return "Plan route between locations"
         }

SportsTime/Core/Theme/Theme.swift

@@ -126,6 +126,9 @@ enum Theme {
     static let nhlBlue = Color(hex: "003087")
     static let nflBrown = Color(hex: "8B5A2B")
     static let mlsGreen = Color(hex: "00A651")
+    static let wnbaPurple = Color(hex: "FF6F20")  // WNBA orange
+    static let nwslTeal = Color(hex: "009688")    // NWSL teal
+    static let cbbMint = Color(hex: "3EB489")     // College Basketball mint
 
     // MARK: - Dark Mode Colors
 

SportsTime/Core/Theme/ViewModifiers.swift

@@ -215,6 +215,9 @@ extension Sport {
         case .nhl: return Theme.nhlBlue
         case .nfl: return Theme.nflBrown
         case .mls: return Theme.mlsGreen
+        case .wnba: return Theme.wnbaPurple
+        case .nwsl: return Theme.nwslTeal
+        case .cbb: return Theme.cbbMint
         }
     }
 }

SportsTime/Features/Home/Views/HomeView.swift

@@ -169,19 +169,40 @@ struct HomeView: View {
     // MARK: - Quick Actions
 
     private var quickActions: some View {
-        VStack(alignment: .leading, spacing: Theme.Spacing.sm) {
+        let sports = Sport.supported
+        let rows = sports.chunked(into: 4)
+
+        return VStack(alignment: .leading, spacing: Theme.Spacing.sm) {
             Text("Quick Start")
                 .font(.system(size: Theme.FontSize.sectionTitle, weight: .bold, design: .rounded))
                 .foregroundStyle(Theme.textPrimary(colorScheme))
 
-            HStack(spacing: Theme.Spacing.sm) {
-                ForEach(Sport.supported) { sport in
-                    QuickSportButton(sport: sport) {
-                        selectedSport = sport
-                        showNewTrip = true
+            VStack(spacing: Theme.Spacing.md) {
+                ForEach(Array(rows.enumerated()), id: \.offset) { _, row in
+                    HStack(spacing: Theme.Spacing.sm) {
+                        ForEach(row) { sport in
+                            QuickSportButton(sport: sport) {
+                                selectedSport = sport
+                                showNewTrip = true
+                            }
+                        }
+                        // Fill remaining space if row has fewer than 4 items
+                        if row.count < 4 {
+                            ForEach(0..<(4 - row.count), id: \.self) { _ in
+                                Color.clear.frame(maxWidth: .infinity)
+                            }
+                        }
                     }
                 }
             }
+            .padding(.horizontal, Theme.Spacing.md)
+            .padding(.vertical, Theme.Spacing.md)
+            .background(Theme.cardBackground(colorScheme))
+            .clipShape(RoundedRectangle(cornerRadius: Theme.CornerRadius.large))
+            .overlay {
+                RoundedRectangle(cornerRadius: Theme.CornerRadius.large)
+                    .stroke(Theme.surfaceGlow(colorScheme), lineWidth: 1)
+            }
         }
     }
 
@@ -339,30 +360,23 @@ struct QuickSportButton: View {
 
     var body: some View {
         Button(action: action) {
-            VStack(spacing: Theme.Spacing.xs) {
+            VStack(spacing: 6) {
                 ZStack {
                     Circle()
                         .fill(sport.themeColor.opacity(0.15))
-                        .frame(width: 44, height: 44)
+                        .frame(width: 48, height: 48)
 
                     Image(systemName: sport.iconName)
-                        .font(.title2)
+                        .font(.system(size: 20))
                         .foregroundStyle(sport.themeColor)
                 }
 
                 Text(sport.rawValue)
-                    .font(.system(size: Theme.FontSize.micro, weight: .medium))
+                    .font(.system(size: 10, weight: .medium))
                     .foregroundStyle(Theme.textSecondary(colorScheme))
             }
             .frame(maxWidth: .infinity)
-            .padding(.vertical, Theme.Spacing.sm)
-            .background(Theme.cardBackground(colorScheme))
-            .clipShape(RoundedRectangle(cornerRadius: Theme.CornerRadius.medium))
-            .overlay {
-                RoundedRectangle(cornerRadius: Theme.CornerRadius.medium)
-                    .stroke(Theme.surfaceGlow(colorScheme), lineWidth: 1)
-            }
-            .scaleEffect(isPressed ? 0.95 : 1.0)
+            .scaleEffect(isPressed ? 0.9 : 1.0)
         }
         .buttonStyle(.plain)
         .simultaneousGesture(

SportsTime/Features/Settings/Views/SettingsView.swift

@@ -244,13 +244,7 @@ struct SettingsView: View {
     // MARK: - Helpers
 
     private func sportColor(for sport: Sport) -> Color {
-        switch sport {
-        case .mlb: return .red
-        case .nba: return .orange
-        case .nhl: return .blue
-        case .nfl: return .green
-        case .mls: return .purple
-        }
+        sport.themeColor
     }
 }
 

SportsTime/Features/Trip/ViewModels/TripCreationViewModel.swift

@@ -58,8 +58,24 @@ final class TripCreationViewModel {
     }
 
     // Dates
-    var startDate: Date = Date()
-    var endDate: Date = Date().addingTimeInterval(86400 * 7)
+    var startDate: Date = Date() {
+        didSet {
+            // Clear cached games when start date changes
+            if !Calendar.current.isDate(startDate, inSameDayAs: oldValue) {
+                availableGames = []
+                games = []
+            }
+        }
+    }
+    var endDate: Date = Date().addingTimeInterval(86400 * 7) {
+        didSet {
+            // Clear cached games when end date changes
+            if !Calendar.current.isDate(endDate, inSameDayAs: oldValue) {
+                availableGames = []
+                games = []
+            }
+        }
+    }
 
     // Trip duration for game-first mode (days before/after selected games)
     var tripBufferDays: Int = 2

SportsTime/Features/Trip/Views/TripCreationView.swift

@@ -524,22 +524,36 @@ struct TripCreationView: View {
     }
 
     private var sportsSection: some View {
-        ThemedSection(title: "Sports") {
-            HStack(spacing: Theme.Spacing.sm) {
-                ForEach(Sport.supported) { sport in
-                    SportSelectionChip(
-                        sport: sport,
-                        isSelected: viewModel.selectedSports.contains(sport),
-                        onTap: {
-                            if viewModel.selectedSports.contains(sport) {
-                                viewModel.selectedSports.remove(sport)
-                            } else {
-                                viewModel.selectedSports.insert(sport)
+        let sports = Sport.supported
+        let rows = sports.chunked(into: 4)
+
+        return ThemedSection(title: "Sports") {
+            VStack(spacing: Theme.Spacing.sm) {
+                ForEach(Array(rows.enumerated()), id: \.offset) { _, row in
+                    HStack(spacing: Theme.Spacing.sm) {
+                        ForEach(row) { sport in
+                            SportSelectionChip(
+                                sport: sport,
+                                isSelected: viewModel.selectedSports.contains(sport),
+                                onTap: {
+                                    if viewModel.selectedSports.contains(sport) {
+                                        viewModel.selectedSports.remove(sport)
+                                    } else {
+                                        viewModel.selectedSports.insert(sport)
+                                    }
+                                }
+                            )
+                        }
+                        // Fill remaining space if row has fewer than 4 items
+                        if row.count < 4 {
+                            ForEach(0..<(4 - row.count), id: \.self) { _ in
+                                Color.clear.frame(maxWidth: .infinity)
                             }
                         }
-                    )
+                    }
                 }
             }
+            .padding(.vertical, Theme.Spacing.xs)
         }
     }
 
@@ -2139,27 +2153,45 @@ struct SportSelectionChip: View {
     let isSelected: Bool
     let onTap: () -> Void
     @Environment(\.colorScheme) private var colorScheme
+    @State private var isPressed = false
 
     var body: some View {
         Button(action: onTap) {
-            VStack(spacing: Theme.Spacing.xs) {
+            VStack(spacing: 6) {
                 ZStack {
                     Circle()
                         .fill(isSelected ? sport.themeColor : sport.themeColor.opacity(0.15))
-                        .frame(width: 44, height: 44)
+                        .frame(width: 48, height: 48)
+                        .overlay {
+                            if isSelected {
+                                Circle()
+                                    .stroke(sport.themeColor.opacity(0.3), lineWidth: 3)
+                                    .frame(width: 54, height: 54)
+                            }
+                        }
 
                     Image(systemName: sport.iconName)
-                        .font(.title3)
+                        .font(.system(size: 20))
                         .foregroundStyle(isSelected ? .white : sport.themeColor)
                 }
 
                 Text(sport.rawValue)
-                    .font(.system(size: Theme.FontSize.micro, weight: .medium))
+                    .font(.system(size: 10, weight: isSelected ? .semibold : .medium))
                     .foregroundStyle(isSelected ? Theme.textPrimary(colorScheme) : Theme.textSecondary(colorScheme))
             }
             .frame(maxWidth: .infinity)
+            .scaleEffect(isPressed ? 0.9 : 1.0)
         }
         .buttonStyle(.plain)
+        .simultaneousGesture(
+            DragGesture(minimumDistance: 0)
+                .onChanged { _ in
+                    withAnimation(Theme.Animation.spring) { isPressed = true }
+                }
+                .onEnded { _ in
+                    withAnimation(Theme.Animation.spring) { isPressed = false }
+                }
+        )
     }
 }
 

SportsTime/Planning/Engine/GameDAGRouter.swift

@@ -2,7 +2,7 @@
 //  GameDAGRouter.swift
 //  SportsTime
 //
-//  Time-expanded DAG + Beam Search algorithm for route finding.
+//  DAG-based route finding with multi-dimensional diversity.
 //
 //  Key insight: This is NOT "which subset of N games should I attend?"
 //  This IS: "what time-respecting paths exist through a graph of games?"
@@ -10,11 +10,14 @@
 //  The algorithm:
 //    1. Bucket games by calendar day
 //    2. Build directed edges where time moves forward AND driving is feasible
-//    3. Beam search: keep top K paths at each depth
-//    4. Dominance pruning: discard inferior paths
+//    3. Generate routes via beam search
+//    4. Diversity pruning: ensure routes span full range of games, cities, miles, and days
 //
-//  Complexity: O(days × beamWidth × avgNeighbors) ≈ 900 operations for 5-day, 78-game scenario
-//  (vs 2^78 for naive subset enumeration)
+//  The diversity system ensures users see:
+//    - Short trips (2-3 cities) AND long trips (5+ cities)
+//    - Quick trips (2-3 games) AND packed trips (5+ games)
+//    - Low mileage AND high mileage options
+//    - Short duration AND long duration trips
 //
 
 import Foundation
@@ -24,12 +27,11 @@ enum GameDAGRouter {
 
     // MARK: - Configuration
 
-    /// Default beam width - how many partial routes to keep at each step
-    /// Increased to ensure we preserve diverse route lengths (short and long trips)
-    private static let defaultBeamWidth = 50
+    /// Default beam width during expansion
+    private static let defaultBeamWidth = 100
 
-    /// Maximum options to return (increased to provide more diverse trip lengths)
-    private static let maxOptions = 50
+    /// Maximum options to return (diverse sample)
+    private static let maxOptions = 75
 
     /// Buffer time after game ends before we can depart (hours)
     private static let gameEndBufferHours: Double = 3.0
@@ -37,21 +39,55 @@ enum GameDAGRouter {
     /// Maximum days ahead to consider for next game (1 = next day only, 5 = allows multi-day drives)
     private static let maxDayLookahead = 5
 
+    // MARK: - Route Profile
+
+    /// Captures the key metrics of a route for diversity analysis
+    private struct RouteProfile {
+        let route: [Game]
+        let gameCount: Int
+        let cityCount: Int
+        let totalMiles: Double
+        let tripDays: Int
+
+        // Bucket indices for stratified sampling
+        var gameBucket: Int { min(gameCount - 1, 5) }  // 1, 2, 3, 4, 5, 6+
+        var cityBucket: Int { min(cityCount - 1, 5) }  // 1, 2, 3, 4, 5, 6+
+        var milesBucket: Int {
+            switch totalMiles {
+            case ..<500: return 0        // Short
+            case 500..<1000: return 1    // Medium
+            case 1000..<2000: return 2   // Long
+            case 2000..<3000: return 3   // Very long
+            default: return 4            // Epic
+            }
+        }
+        var daysBucket: Int { min(tripDays - 1, 6) }  // 1-7+ days
+
+        /// Composite key for exact deduplication
+        var uniqueKey: String {
+            route.map { $0.id.uuidString }.joined(separator: "-")
+        }
+    }
+
     // MARK: - Public API
 
-    /// Finds best routes through the game graph using DAG + beam search.
+    /// Finds routes through the game graph with multi-dimensional diversity.
     ///
-    /// This replaces the exponential GeographicRouteExplorer with a polynomial-time algorithm.
+    /// Returns a curated sample that spans the full range of:
+    /// - Number of games (2-game quickies to 6+ game marathons)
+    /// - Number of cities (2-city to 6+ city routes)
+    /// - Total miles (short drives to cross-country epics)
+    /// - Trip duration (weekend getaways to week-long adventures)
     ///
     /// - Parameters:
-    ///   - games: All games to consider, in any order (will be sorted internally)
+    ///   - games: All games to consider
     ///   - stadiums: Dictionary mapping stadium IDs to Stadium objects
-    ///   - constraints: Driving constraints (number of drivers, max hours per day)
-    ///   - anchorGameIds: Games that MUST appear in every valid route (for Scenario B)
+    ///   - constraints: Driving constraints (max hours per day)
+    ///   - anchorGameIds: Games that MUST appear in every valid route
     ///   - allowRepeatCities: If false, each city can only appear once in a route
-    ///   - beamWidth: How many partial routes to keep at each depth (default 30)
+    ///   - beamWidth: How many partial routes to keep during expansion
     ///
-    /// - Returns: Array of valid game combinations, sorted by score (most games, least driving)
+    /// - Returns: Array of diverse route options
     ///
     static func findRoutes(
         games: [Game],
@@ -65,21 +101,18 @@ enum GameDAGRouter {
         // Edge cases
         guard !games.isEmpty else { return [] }
         if games.count == 1 {
-            // Single game - just return it if it satisfies anchors
             if anchorGameIds.isEmpty || anchorGameIds.contains(games[0].id) {
                 return [games]
             }
             return []
         }
         if games.count == 2 {
-            // Two games - check if both are reachable
             let sorted = games.sorted { $0.startTime < $1.startTime }
             if canTransition(from: sorted[0], to: sorted[1], stadiums: stadiums, constraints: constraints) {
                 if anchorGameIds.isSubset(of: Set(sorted.map { $0.id })) {
                     return [sorted]
                 }
             }
-            // Can't connect them - return individual games if they satisfy anchors
             if anchorGameIds.isEmpty {
                 return [[sorted[0]], [sorted[1]]]
             }
@@ -95,18 +128,9 @@ enum GameDAGRouter {
 
         guard !sortedDays.isEmpty else { return [] }
 
-
-        // Step 3: Initialize beam with first day's games
+        // Step 3: Initialize beam with first few days' games as starting points
         var beam: [[Game]] = []
-        if let firstDayGames = buckets[sortedDays[0]] {
-            for game in firstDayGames {
-                beam.append([game])
-            }
-        }
-
-        // Also include option to skip first day entirely and start later
-        // (handled by having multiple starting points in beam)
-        for dayIndex in sortedDays.dropFirst().prefix(maxDayLookahead - 1) {
+        for dayIndex in sortedDays.prefix(maxDayLookahead) {
             if let dayGames = buckets[dayIndex] {
                 for game in dayGames {
                     beam.append([game])
@@ -114,9 +138,8 @@ enum GameDAGRouter {
             }
         }
 
-
         // Step 4: Expand beam day by day
-        for (_, dayIndex) in sortedDays.dropFirst().enumerated() {
+        for dayIndex in sortedDays.dropFirst() {
             let todaysGames = buckets[dayIndex] ?? []
             var nextBeam: [[Game]] = []
 
@@ -124,36 +147,34 @@ enum GameDAGRouter {
                 guard let lastGame = path.last else { continue }
                 let lastGameDay = dayIndexFor(lastGame.startTime, referenceDate: sortedGames[0].startTime)
 
-                // Only consider games on this day or within lookahead
+                // Skip if this day is too far ahead for this route
                 if dayIndex > lastGameDay + maxDayLookahead {
-                    // This path is too far behind, keep it as-is
                     nextBeam.append(path)
                     continue
                 }
 
                 // Try adding each of today's games
                 for candidate in todaysGames {
-                    // Check for repeat city violation during route building
+                    // Check for repeat city violation
                     if !allowRepeatCities {
                         let candidateCity = stadiums[candidate.stadiumId]?.city ?? ""
                         let pathCities = Set(path.compactMap { stadiums[$0.stadiumId]?.city })
                         if pathCities.contains(candidateCity) {
-                            continue // Skip - would violate allowRepeatCities
+                            continue
                         }
                     }
 
                     if canTransition(from: lastGame, to: candidate, stadiums: stadiums, constraints: constraints) {
-                        let newPath = path + [candidate]
-                        nextBeam.append(newPath)
+                        nextBeam.append(path + [candidate])
                     }
                 }
 
-                // Also keep the path without adding a game today (allows off-days)
+                // Keep the path without adding a game today
                 nextBeam.append(path)
             }
 
-            // Dominance pruning + beam truncation
-            beam = pruneAndTruncate(nextBeam, beamWidth: beamWidth, stadiums: stadiums)
+            // Diversity-aware pruning during expansion
+            beam = diversityPrune(nextBeam, stadiums: stadiums, targetCount: beamWidth)
         }
 
         // Step 5: Filter routes that contain all anchors
@@ -162,21 +183,15 @@ enum GameDAGRouter {
             return anchorGameIds.isSubset(of: pathGameIds)
         }
 
-        // Step 6: Ensure geographic diversity in results
-        // Group routes by their primary region (city with most games)
-        // Then pick the best route from each region
+        // Step 6: Final diversity selection
         let finalRoutes = selectDiverseRoutes(routesWithAnchors, stadiums: stadiums, maxCount: maxOptions)
 
-        print("🔍 DAG: Input games=\(games.count), beam final=\(beam.count), withAnchors=\(routesWithAnchors.count), final=\(finalRoutes.count)")
-        if let best = finalRoutes.first {
-            print("🔍 DAG: Best route has \(best.count) games")
-        }
+        print("🔍 DAG: Input games=\(games.count), beam=\(beam.count), withAnchors=\(routesWithAnchors.count), final=\(finalRoutes.count)")
 
         return finalRoutes
     }
 
     /// Compatibility wrapper that matches GeographicRouteExplorer's interface.
-    /// This allows drop-in replacement in ScenarioAPlanner and ScenarioBPlanner.
     static func findAllSensibleRoutes(
         from games: [Game],
         stadiums: [UUID: Stadium],
@@ -184,9 +199,7 @@ enum GameDAGRouter {
         allowRepeatCities: Bool = true,
         stopBuilder: ([Game], [UUID: Stadium]) -> [ItineraryStop]
     ) -> [[Game]] {
-        // Use default driving constraints
         let constraints = DrivingConstraints.default
-
         return findRoutes(
             games: games,
             stadiums: stadiums,
@@ -196,9 +209,236 @@ enum GameDAGRouter {
         )
     }
 
+    // MARK: - Multi-Dimensional Diversity Selection
+
+    /// Selects routes that maximize diversity across all dimensions.
+    /// Uses stratified sampling to ensure representation of:
+    /// - Short trips (2-3 games) AND long trips (5+ games)
+    /// - Few cities (2-3) AND many cities (5+)
+    /// - Low mileage AND high mileage
+    /// - Short duration AND long duration
+    private static func selectDiverseRoutes(
+        _ routes: [[Game]],
+        stadiums: [UUID: Stadium],
+        maxCount: Int
+    ) -> [[Game]] {
+        guard !routes.isEmpty else { return [] }
+
+        // Build profiles for all routes
+        let profiles = routes.map { route in
+            buildProfile(for: route, stadiums: stadiums)
+        }
+
+        // Remove duplicates
+        var uniqueProfiles: [RouteProfile] = []
+        var seenKeys = Set<String>()
+        for profile in profiles {
+            if !seenKeys.contains(profile.uniqueKey) {
+                seenKeys.insert(profile.uniqueKey)
+                uniqueProfiles.append(profile)
+            }
+        }
+
+        // Stratified selection: ensure representation across all buckets
+        var selected: [RouteProfile] = []
+        var selectedKeys = Set<String>()
+
+        // Pass 1: Ensure at least one route per game count bucket (2, 3, 4, 5, 6+)
+        let byGames = Dictionary(grouping: uniqueProfiles) { $0.gameBucket }
+        for bucket in byGames.keys.sorted() {
+            if selected.count >= maxCount { break }
+            if let candidates = byGames[bucket]?.sorted(by: { $0.totalMiles < $1.totalMiles }) {
+                if let best = candidates.first, !selectedKeys.contains(best.uniqueKey) {
+                    selected.append(best)
+                    selectedKeys.insert(best.uniqueKey)
+                }
+            }
+        }
+
+        // Pass 2: Ensure at least one route per city count bucket (2, 3, 4, 5, 6+)
+        let byCities = Dictionary(grouping: uniqueProfiles) { $0.cityBucket }
+        for bucket in byCities.keys.sorted() {
+            if selected.count >= maxCount { break }
+            if let candidates = byCities[bucket]?.filter({ !selectedKeys.contains($0.uniqueKey) }) {
+                if let best = candidates.sorted(by: { $0.totalMiles < $1.totalMiles }).first {
+                    selected.append(best)
+                    selectedKeys.insert(best.uniqueKey)
+                }
+            }
+        }
+
+        // Pass 3: Ensure at least one route per mileage bucket
+        let byMiles = Dictionary(grouping: uniqueProfiles) { $0.milesBucket }
+        for bucket in byMiles.keys.sorted() {
+            if selected.count >= maxCount { break }
+            if let candidates = byMiles[bucket]?.filter({ !selectedKeys.contains($0.uniqueKey) }) {
+                if let best = candidates.sorted(by: { $0.gameCount > $1.gameCount }).first {
+                    selected.append(best)
+                    selectedKeys.insert(best.uniqueKey)
+                }
+            }
+        }
+
+        // Pass 4: Ensure at least one route per duration bucket
+        let byDays = Dictionary(grouping: uniqueProfiles) { $0.daysBucket }
+        for bucket in byDays.keys.sorted() {
+            if selected.count >= maxCount { break }
+            if let candidates = byDays[bucket]?.filter({ !selectedKeys.contains($0.uniqueKey) }) {
+                if let best = candidates.sorted(by: { $0.gameCount > $1.gameCount }).first {
+                    selected.append(best)
+                    selectedKeys.insert(best.uniqueKey)
+                }
+            }
+        }
+
+        // Pass 5: Fill remaining slots with diverse combinations
+        // Create composite buckets for more granular diversity
+        let remaining = uniqueProfiles.filter { !selectedKeys.contains($0.uniqueKey) }
+        let byComposite = Dictionary(grouping: remaining) { profile in
+            "\(profile.gameBucket)-\(profile.cityBucket)-\(profile.milesBucket)"
+        }
+
+        // Round-robin from composite buckets
+        var compositeKeys = Array(byComposite.keys).sorted()
+        var indices: [String: Int] = [:]
+        while selected.count < maxCount && !compositeKeys.isEmpty {
+            var addedAny = false
+            for key in compositeKeys {
+                if selected.count >= maxCount { break }
+                let idx = indices[key] ?? 0
+                if let candidates = byComposite[key], idx < candidates.count {
+                    let profile = candidates[idx]
+                    if !selectedKeys.contains(profile.uniqueKey) {
+                        selected.append(profile)
+                        selectedKeys.insert(profile.uniqueKey)
+                        addedAny = true
+                    }
+                    indices[key] = idx + 1
+                }
+            }
+            if !addedAny { break }
+        }
+
+        // Pass 6: If still need more, add remaining sorted by efficiency
+        if selected.count < maxCount {
+            let stillRemaining = uniqueProfiles
+                .filter { !selectedKeys.contains($0.uniqueKey) }
+                .sorted { efficiency(for: $0) > efficiency(for: $1) }
+
+            for profile in stillRemaining.prefix(maxCount - selected.count) {
+                selected.append(profile)
+            }
+        }
+
+        return selected.map { $0.route }
+    }
+
+    /// Diversity-aware pruning during beam expansion.
+    /// Keeps routes that span the diversity space rather than just high-scoring ones.
+    private static func diversityPrune(
+        _ paths: [[Game]],
+        stadiums: [UUID: Stadium],
+        targetCount: Int
+    ) -> [[Game]] {
+        // Remove exact duplicates first
+        var uniquePaths: [[Game]] = []
+        var seen = Set<String>()
+        for path in paths {
+            let key = path.map { $0.id.uuidString }.joined(separator: "-")
+            if !seen.contains(key) {
+                seen.insert(key)
+                uniquePaths.append(path)
+            }
+        }
+
+        guard uniquePaths.count > targetCount else { return uniquePaths }
+
+        // Build profiles
+        let profiles = uniquePaths.map { buildProfile(for: $0, stadiums: stadiums) }
+
+        // Group by game count to ensure length diversity
+        let byGames = Dictionary(grouping: profiles) { $0.gameBucket }
+        let slotsPerBucket = max(2, targetCount / max(1, byGames.count))
+
+        var selected: [RouteProfile] = []
+        var selectedKeys = Set<String>()
+
+        // Take from each game count bucket
+        for bucket in byGames.keys.sorted() {
+            if let candidates = byGames[bucket] {
+                // Within bucket, prioritize geographic diversity
+                let byCities = Dictionary(grouping: candidates) { $0.cityBucket }
+                var bucketSelected = 0
+
+                for cityBucket in byCities.keys.sorted() {
+                    if bucketSelected >= slotsPerBucket { break }
+                    if let cityCandidates = byCities[cityBucket] {
+                        for profile in cityCandidates.prefix(2) {
+                            if !selectedKeys.contains(profile.uniqueKey) {
+                                selected.append(profile)
+                                selectedKeys.insert(profile.uniqueKey)
+                                bucketSelected += 1
+                                if bucketSelected >= slotsPerBucket { break }
+                            }
+                        }
+                    }
+                }
+            }
+        }
+
+        // Fill remaining with efficiency-sorted paths
+        if selected.count < targetCount {
+            let remaining = profiles.filter { !selectedKeys.contains($0.uniqueKey) }
+                .sorted { efficiency(for: $0) > efficiency(for: $1) }
+
+            for profile in remaining.prefix(targetCount - selected.count) {
+                selected.append(profile)
+            }
+        }
+
+        return selected.map { $0.route }
+    }
+
+    /// Builds a profile for a route.
+    private static func buildProfile(for route: [Game], stadiums: [UUID: Stadium]) -> RouteProfile {
+        let gameCount = route.count
+        let cities = Set(route.compactMap { stadiums[$0.stadiumId]?.city })
+        let cityCount = cities.count
+
+        // Calculate total miles
+        var totalMiles: Double = 0
+        for i in 0..<(route.count - 1) {
+            totalMiles += estimateDistanceMiles(from: route[i], to: route[i + 1], stadiums: stadiums)
+        }
+
+        // Calculate trip duration in days
+        let tripDays: Int
+        if let firstGame = route.first, let lastGame = route.last {
+            let calendar = Calendar.current
+            let days = calendar.dateComponents([.day], from: firstGame.startTime, to: lastGame.startTime).day ?? 1
+            tripDays = max(1, days + 1)
+        } else {
+            tripDays = 1
+        }
+
+        return RouteProfile(
+            route: route,
+            gameCount: gameCount,
+            cityCount: cityCount,
+            totalMiles: totalMiles,
+            tripDays: tripDays
+        )
+    }
+
+    /// Calculates efficiency score (games per hour of driving).
+    private static func efficiency(for profile: RouteProfile) -> Double {
+        let drivingHours = profile.totalMiles / 60.0  // 60 mph average
+        guard drivingHours > 0 else { return Double(profile.gameCount) * 100 }
+        return Double(profile.gameCount) / drivingHours
+    }
+
     // MARK: - Day Bucketing
 
-    /// Groups games by calendar day index (0 = first day of trip, 1 = second day, etc.)
     private static func bucketByDay(games: [Game]) -> [Int: [Game]] {
         guard let firstGame = games.first else { return [:] }
         let referenceDate = firstGame.startTime
@@ -211,24 +451,15 @@ enum GameDAGRouter {
         return buckets
     }
 
-    /// Calculates the day index for a date relative to a reference date.
     private static func dayIndexFor(_ date: Date, referenceDate: Date) -> Int {
         let calendar = Calendar.current
         let refDay = calendar.startOfDay(for: referenceDate)
         let dateDay = calendar.startOfDay(for: date)
-        let components = calendar.dateComponents([.day], from: refDay, to: dateDay)
-        return components.day ?? 0
+        return calendar.dateComponents([.day], from: refDay, to: dateDay).day ?? 0
     }
 
     // MARK: - Transition Feasibility
 
-    /// Determines if we can travel from game A to game B.
-    ///
-    /// Requirements:
-    ///   1. B starts after A (time moves forward)
-    ///   2. We have enough days between games to complete the drive
-    ///   3. We can arrive at B before B starts
-    ///
     private static func canTransition(
         from: Game,
         to: Game,
@@ -236,289 +467,62 @@ enum GameDAGRouter {
         constraints: DrivingConstraints
     ) -> Bool {
         // Time must move forward
-        guard to.startTime > from.startTime else {
-            return false
-        }
+        guard to.startTime > from.startTime else { return false }
 
-        // Same stadium = always feasible (no driving needed)
+        // Same stadium = always feasible
         if from.stadiumId == to.stadiumId { return true }
 
         // Get stadiums
         guard let fromStadium = stadiums[from.stadiumId],
               let toStadium = stadiums[to.stadiumId] else {
-            // Missing stadium info - can't calculate distance, reject to be safe
-            print("⚠️ DAG: Stadium lookup failed - from:\(stadiums[from.stadiumId] != nil) to:\(stadiums[to.stadiumId] != nil)")
             return false
         }
 
-        let fromCoord = fromStadium.coordinate
-        let toCoord = toStadium.coordinate
-
         // Calculate driving time
         let distanceMiles = TravelEstimator.haversineDistanceMiles(
-            from: CLLocationCoordinate2D(latitude: fromCoord.latitude, longitude: fromCoord.longitude),
-            to: CLLocationCoordinate2D(latitude: toCoord.latitude, longitude: toCoord.longitude)
+            from: CLLocationCoordinate2D(latitude: fromStadium.coordinate.latitude, longitude: fromStadium.coordinate.longitude),
+            to: CLLocationCoordinate2D(latitude: toStadium.coordinate.latitude, longitude: toStadium.coordinate.longitude)
         ) * 1.3  // Road routing factor
 
-        let drivingHours = distanceMiles / 60.0  // Average 60 mph
+        let drivingHours = distanceMiles / 60.0
 
-        // Calculate available driving time between games
-        // After game A ends (+ buffer), how much time until game B starts (- buffer)?
+        // Calculate available time
         let departureTime = from.startTime.addingTimeInterval(gameEndBufferHours * 3600)
         let deadline = to.startTime.addingTimeInterval(-3600)  // 1 hour buffer before game
-        let availableSeconds = deadline.timeIntervalSince(departureTime)
-        let availableHours = availableSeconds / 3600.0
+        let availableHours = deadline.timeIntervalSince(departureTime) / 3600.0
 
-        // Calculate how many driving days we have
-        // Each day can have maxDailyDrivingHours of driving
+        // Calculate driving days available
         let calendar = Calendar.current
-        let fromDay = calendar.startOfDay(for: from.startTime)
-        let toDay = calendar.startOfDay(for: to.startTime)
-        let daysBetween = calendar.dateComponents([.day], from: fromDay, to: toDay).day ?? 0
+        let daysBetween = calendar.dateComponents(
+            [.day],
+            from: calendar.startOfDay(for: from.startTime),
+            to: calendar.startOfDay(for: to.startTime)
+        ).day ?? 0
 
-        // Available driving hours = days between * max per day
-        // (If games are same day, daysBetween = 0, but we might still have hours available)
-        let maxDrivingHoursAvailable: Double
-        if daysBetween == 0 {
-            // Same day - only have hours between games
-            maxDrivingHoursAvailable = max(0, availableHours)
-        } else {
-            // Multi-day - can drive each day
-            maxDrivingHoursAvailable = Double(daysBetween) * constraints.maxDailyDrivingHours
-        }
+        let maxDrivingHoursAvailable = daysBetween == 0
+            ? max(0, availableHours)
+            : Double(daysBetween) * constraints.maxDailyDrivingHours
 
-        // Check if we have enough driving time
-        guard drivingHours <= maxDrivingHoursAvailable else {
-            return false
-        }
-
-        // Also verify we can arrive before game starts (sanity check)
-        guard availableHours >= drivingHours else {
-            return false
-        }
-
-        return true
+        return drivingHours <= maxDrivingHoursAvailable && drivingHours <= availableHours
     }
 
-    // MARK: - Geographic Diversity
+    // MARK: - Distance Estimation
 
-    /// Selects diverse routes from the candidate set.
-    /// Ensures diversity by BOTH route length (city count) AND primary city.
-    /// This guarantees users see 2-city trips alongside 5+ city trips.
-    private static func selectDiverseRoutes(
-        _ routes: [[Game]],
-        stadiums: [UUID: Stadium],
-        maxCount: Int
-    ) -> [[Game]] {
-        guard !routes.isEmpty else { return [] }
-
-        // Group routes by city count (route length)
-        var routesByLength: [Int: [[Game]]] = [:]
-        for route in routes {
-            let cityCount = Set(route.compactMap { stadiums[$0.stadiumId]?.city }).count
-            routesByLength[cityCount, default: []].append(route)
-        }
-
-        // Sort routes within each length by score
-        for (length, lengthRoutes) in routesByLength {
-            routesByLength[length] = lengthRoutes.sorted {
-                scorePath($0, stadiums: stadiums) > scorePath($1, stadiums: stadiums)
-            }
-        }
-
-        // Allocate slots to each length category
-        // Goal: ensure at least 1 route per length category if available
-        let sortedLengths = routesByLength.keys.sorted()
-        let minPerLength = max(1, maxCount / max(1, sortedLengths.count))
-
-        var selectedRoutes: [[Game]] = []
-        var selectedIds = Set<String>()
-
-        // First pass: take best route(s) from each length category
-        for length in sortedLengths {
-            if selectedRoutes.count >= maxCount { break }
-            if let lengthRoutes = routesByLength[length] {
-                let toTake = min(minPerLength, lengthRoutes.count, maxCount - selectedRoutes.count)
-                for route in lengthRoutes.prefix(toTake) {
-                    let key = route.map { $0.id.uuidString }.joined(separator: "-")
-                    if !selectedIds.contains(key) {
-                        selectedRoutes.append(route)
-                        selectedIds.insert(key)
-                    }
-                }
-            }
-        }
-
-        // Second pass: fill remaining slots, prioritizing geographic diversity
-        if selectedRoutes.count < maxCount {
-            // Group remaining routes by primary city
-            var remainingByCity: [String: [[Game]]] = [:]
-            for route in routes {
-                let key = route.map { $0.id.uuidString }.joined(separator: "-")
-                if !selectedIds.contains(key) {
-                    let city = getPrimaryCity(for: route, stadiums: stadiums)
-                    remainingByCity[city, default: []].append(route)
-                }
-            }
-
-            // Sort by score within each city
-            for (city, cityRoutes) in remainingByCity {
-                remainingByCity[city] = cityRoutes.sorted {
-                    scorePath($0, stadiums: stadiums) > scorePath($1, stadiums: stadiums)
-                }
-            }
-
-            // Round-robin from each city
-            let sortedCities = remainingByCity.keys.sorted { city1, city2 in
-                let score1 = remainingByCity[city1]?.first.map { scorePath($0, stadiums: stadiums) } ?? 0
-                let score2 = remainingByCity[city2]?.first.map { scorePath($0, stadiums: stadiums) } ?? 0
-                return score1 > score2
-            }
-
-            var cityIndices: [String: Int] = [:]
-            while selectedRoutes.count < maxCount {
-                var addedAny = false
-                for city in sortedCities {
-                    if selectedRoutes.count >= maxCount { break }
-                    let idx = cityIndices[city] ?? 0
-                    if let cityRoutes = remainingByCity[city], idx < cityRoutes.count {
-                        let route = cityRoutes[idx]
-                        let key = route.map { $0.id.uuidString }.joined(separator: "-")
-                        if !selectedIds.contains(key) {
-                            selectedRoutes.append(route)
-                            selectedIds.insert(key)
-                            addedAny = true
-                        }
-                        cityIndices[city] = idx + 1
-                    }
-                }
-                if !addedAny { break }
-            }
-        }
-
-        return selectedRoutes
-    }
-
-    /// Gets the primary city for a route (where most games are played).
-    private static func getPrimaryCity(for route: [Game], stadiums: [UUID: Stadium]) -> String {
-        var cityCounts: [String: Int] = [:]
-        for game in route {
-            let city = stadiums[game.stadiumId]?.city ?? "Unknown"
-            cityCounts[city, default: 0] += 1
-        }
-        return cityCounts.max(by: { $0.value < $1.value })?.key ?? "Unknown"
-    }
-
-    // MARK: - Scoring and Pruning
-
-    /// Scores a path. Higher = better.
-    /// Prefers: more games, less driving, geographic coherence
-    private static func scorePath(_ path: [Game], stadiums: [UUID: Stadium]) -> Double {
-        // Handle empty or single-game paths
-        guard path.count > 1 else {
-            return Double(path.count) * 100.0
-        }
-
-        let gameCount = Double(path.count)
-
-        // Calculate total driving
-        var totalDriving: Double = 0
-        for i in 0..<(path.count - 1) {
-            totalDriving += estimateDrivingHours(from: path[i], to: path[i + 1], stadiums: stadiums)
-        }
-
-        // Score: heavily weight game count, penalize driving
-        return gameCount * 100.0 - totalDriving * 2.0
-    }
-
-    /// Estimates driving hours between two games.
-    private static func estimateDrivingHours(
+    private static func estimateDistanceMiles(
         from: Game,
         to: Game,
         stadiums: [UUID: Stadium]
     ) -> Double {
-        // Same stadium = 0 driving
         if from.stadiumId == to.stadiumId { return 0 }
 
         guard let fromStadium = stadiums[from.stadiumId],
               let toStadium = stadiums[to.stadiumId] else {
-            return 5.0  // Fallback: assume 5 hours
+            return 300  // Fallback estimate
         }
 
-        let fromCoord = fromStadium.coordinate
-        let toCoord = toStadium.coordinate
-
-        let distanceMiles = TravelEstimator.haversineDistanceMiles(
-            from: CLLocationCoordinate2D(latitude: fromCoord.latitude, longitude: fromCoord.longitude),
-            to: CLLocationCoordinate2D(latitude: toCoord.latitude, longitude: toCoord.longitude)
+        return TravelEstimator.haversineDistanceMiles(
+            from: CLLocationCoordinate2D(latitude: fromStadium.coordinate.latitude, longitude: fromStadium.coordinate.longitude),
+            to: CLLocationCoordinate2D(latitude: toStadium.coordinate.latitude, longitude: toStadium.coordinate.longitude)
         ) * 1.3
-
-        return distanceMiles / 60.0
-    }
-
-    /// Prunes dominated paths and truncates to beam width.
-    /// Maintains diversity by both ending city AND route length to ensure short trips aren't eliminated.
-    private static func pruneAndTruncate(
-        _ paths: [[Game]],
-        beamWidth: Int,
-        stadiums: [UUID: Stadium]
-    ) -> [[Game]] {
-        // Remove exact duplicates
-        var uniquePaths: [[Game]] = []
-        var seen = Set<String>()
-
-        for path in paths {
-            let key = path.map { $0.id.uuidString }.joined(separator: "-")
-            if !seen.contains(key) {
-                seen.insert(key)
-                uniquePaths.append(path)
-            }
-        }
-
-        // Group paths by unique city count (route length)
-        // This ensures we keep short trips (2 cities) alongside long trips (5+ cities)
-        var pathsByLength: [Int: [[Game]]] = [:]
-        for path in uniquePaths {
-            let cityCount = Set(path.compactMap { stadiums[$0.stadiumId]?.city }).count
-            pathsByLength[cityCount, default: []].append(path)
-        }
-
-        // Sort paths within each length group by score
-        for (length, lengthPaths) in pathsByLength {
-            pathsByLength[length] = lengthPaths.sorted {
-                scorePath($0, stadiums: stadiums) > scorePath($1, stadiums: stadiums)
-            }
-        }
-
-        // Allocate beam slots proportionally to length groups, with minimum per group
-        let sortedLengths = pathsByLength.keys.sorted()
-        let minPerLength = max(2, beamWidth / max(1, sortedLengths.count))
-
-        var pruned: [[Game]] = []
-
-        // First pass: take minimum from each length group
-        for length in sortedLengths {
-            if let lengthPaths = pathsByLength[length] {
-                let toTake = min(minPerLength, lengthPaths.count)
-                pruned.append(contentsOf: lengthPaths.prefix(toTake))
-            }
-        }
-
-        // Second pass: fill remaining slots with best paths overall
-        if pruned.count < beamWidth {
-            let remaining = beamWidth - pruned.count
-            let prunedIds = Set(pruned.map { $0.map { $0.id.uuidString }.joined(separator: "-") })
-
-            // Get all paths not yet added, sorted by score
-            var additional = uniquePaths.filter {
-                !prunedIds.contains($0.map { $0.id.uuidString }.joined(separator: "-"))
-            }
-            additional.sort { scorePath($0, stadiums: stadiums) > scorePath($1, stadiums: stadiums) }
-
-            pruned.append(contentsOf: additional.prefix(remaining))
-        }
-
-        // Final truncation
-        return Array(pruned.prefix(beamWidth))
     }
 }

SportsTime/Resources/stadiums_canonical.json

@@ -1286,5 +1286,789 @@
       "WPG"
     ],
     "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_gateway_center_arena",
+    "name": "Gateway Center Arena",
+    "city": "College Park",
+    "state": "GA",
+    "latitude": 33.6534,
+    "longitude": -84.448,
+    "capacity": 3500,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "ATL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_wintrust_arena",
+    "name": "Wintrust Arena",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.8622,
+    "longitude": -87.6164,
+    "capacity": 10387,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_mohegan_sun_arena",
+    "name": "Mohegan Sun Arena",
+    "city": "Uncasville",
+    "state": "CT",
+    "latitude": 41.4946,
+    "longitude": -72.0874,
+    "capacity": 10000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "CON"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_college_park_center",
+    "name": "College Park Center",
+    "city": "Arlington",
+    "state": "TX",
+    "latitude": 32.7298,
+    "longitude": -97.1137,
+    "capacity": 7000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "DAL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_chase_center",
+    "name": "Chase Center",
+    "city": "San Francisco",
+    "state": "CA",
+    "latitude": 37.768,
+    "longitude": -122.3879,
+    "capacity": 18064,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "GSV"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_gainbridge_fieldhouse",
+    "name": "Gainbridge Fieldhouse",
+    "city": "Indianapolis",
+    "state": "IN",
+    "latitude": 39.764,
+    "longitude": -86.1555,
+    "capacity": 17274,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "IND"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_michelob_ultra_arena",
+    "name": "Michelob Ultra Arena",
+    "city": "Las Vegas",
+    "state": "NV",
+    "latitude": 36.0929,
+    "longitude": -115.1757,
+    "capacity": 12000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "LVA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_cryptocom_arena",
+    "name": "Crypto.com Arena",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.043,
+    "longitude": -118.2673,
+    "capacity": 19068,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "LAS"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_target_center",
+    "name": "Target Center",
+    "city": "Minneapolis",
+    "state": "MN",
+    "latitude": 44.9795,
+    "longitude": -93.2761,
+    "capacity": 17500,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "MIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_barclays_center",
+    "name": "Barclays Center",
+    "city": "Brooklyn",
+    "state": "NY",
+    "latitude": 40.6826,
+    "longitude": -73.9754,
+    "capacity": 17732,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "NYL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_footprint_center",
+    "name": "Footprint Center",
+    "city": "Phoenix",
+    "state": "AZ",
+    "latitude": 33.4457,
+    "longitude": -112.0712,
+    "capacity": 17000,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "PHX"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_climate_pledge_arena",
+    "name": "Climate Pledge Arena",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.6221,
+    "longitude": -122.354,
+    "capacity": 17100,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "SEA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_wnba_entertainment__sports_arena",
+    "name": "Entertainment & Sports Arena",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8701,
+    "longitude": -76.9728,
+    "capacity": 4200,
+    "sport": "WNBA",
+    "primary_team_abbrevs": [
+      "WAS"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_mercedes-benz_stadium",
+    "name": "Mercedes-Benz Stadium",
+    "city": "Atlanta",
+    "state": "GA",
+    "latitude": 33.7553,
+    "longitude": -84.4006,
+    "capacity": 71000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ATL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_q2_stadium",
+    "name": "Q2 Stadium",
+    "city": "Austin",
+    "state": "TX",
+    "latitude": 30.3876,
+    "longitude": -97.72,
+    "capacity": 20738,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ATX"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bank_of_america_stadium",
+    "name": "Bank of America Stadium",
+    "city": "Charlotte",
+    "state": "NC",
+    "latitude": 35.2258,
+    "longitude": -80.8528,
+    "capacity": 74867,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CLT"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_soldier_field",
+    "name": "Soldier Field",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.8623,
+    "longitude": -87.6167,
+    "capacity": 61500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_tql_stadium",
+    "name": "TQL Stadium",
+    "city": "Cincinnati",
+    "state": "OH",
+    "latitude": 39.1113,
+    "longitude": -84.5212,
+    "capacity": 26000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_dicks_sporting_goods_park",
+    "name": "Dicks Sporting Goods Park",
+    "city": "Commerce City",
+    "state": "CO",
+    "latitude": 39.8056,
+    "longitude": -104.8919,
+    "capacity": 18061,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "COL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_lowercom_field",
+    "name": "Lower.com Field",
+    "city": "Columbus",
+    "state": "OH",
+    "latitude": 39.9689,
+    "longitude": -83.0173,
+    "capacity": 20371,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "CLB"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_toyota_stadium",
+    "name": "Toyota Stadium",
+    "city": "Frisco",
+    "state": "TX",
+    "latitude": 33.1546,
+    "longitude": -96.8353,
+    "capacity": 20500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "DAL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_audi_field",
+    "name": "Audi Field",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8686,
+    "longitude": -77.0128,
+    "capacity": 20000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "DCU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_shell_energy_stadium",
+    "name": "Shell Energy Stadium",
+    "city": "Houston",
+    "state": "TX",
+    "latitude": 29.7523,
+    "longitude": -95.3522,
+    "capacity": 22039,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "HOU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_dignity_health_sports_park",
+    "name": "Dignity Health Sports Park",
+    "city": "Carson",
+    "state": "CA",
+    "latitude": 33.8644,
+    "longitude": -118.2611,
+    "capacity": 27000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "LAG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bmo_stadium",
+    "name": "BMO Stadium",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.0128,
+    "longitude": -118.2841,
+    "capacity": 22000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "LAFC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_chase_stadium",
+    "name": "Chase Stadium",
+    "city": "Fort Lauderdale",
+    "state": "FL",
+    "latitude": 26.1902,
+    "longitude": -80.163,
+    "capacity": 21550,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MIA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_allianz_field",
+    "name": "Allianz Field",
+    "city": "St. Paul",
+    "state": "MN",
+    "latitude": 44.9532,
+    "longitude": -93.1653,
+    "capacity": 19400,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MIN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_stade_saputo",
+    "name": "Stade Saputo",
+    "city": "Montreal",
+    "state": "QC",
+    "latitude": 45.5628,
+    "longitude": -73.553,
+    "capacity": 19619,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "MTL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_geodis_park",
+    "name": "Geodis Park",
+    "city": "Nashville",
+    "state": "TN",
+    "latitude": 36.1303,
+    "longitude": -86.7663,
+    "capacity": 30000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NSH"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_gillette_stadium",
+    "name": "Gillette Stadium",
+    "city": "Foxborough",
+    "state": "MA",
+    "latitude": 42.0909,
+    "longitude": -71.2643,
+    "capacity": 65878,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NER"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_yankee_stadium",
+    "name": "Yankee Stadium",
+    "city": "New York",
+    "state": "NY",
+    "latitude": 40.8296,
+    "longitude": -73.9262,
+    "capacity": 46537,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "NYC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_red_bull_arena",
+    "name": "Red Bull Arena",
+    "city": "Harrison",
+    "state": "NJ",
+    "latitude": 40.7368,
+    "longitude": -74.1503,
+    "capacity": 25000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "RBNY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_interco_stadium",
+    "name": "InterCo Stadium",
+    "city": "Orlando",
+    "state": "FL",
+    "latitude": 28.5411,
+    "longitude": -81.3899,
+    "capacity": 25500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "ORL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_subaru_park",
+    "name": "Subaru Park",
+    "city": "Chester",
+    "state": "PA",
+    "latitude": 39.8328,
+    "longitude": -75.3789,
+    "capacity": 18500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "PHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_providence_park",
+    "name": "Providence Park",
+    "city": "Portland",
+    "state": "OR",
+    "latitude": 45.5217,
+    "longitude": -122.6917,
+    "capacity": 25218,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "POR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_america_first_field",
+    "name": "America First Field",
+    "city": "Sandy",
+    "state": "UT",
+    "latitude": 40.5828,
+    "longitude": -111.8933,
+    "capacity": 20213,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "RSL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_paypal_park",
+    "name": "PayPal Park",
+    "city": "San Jose",
+    "state": "CA",
+    "latitude": 37.3513,
+    "longitude": -121.9253,
+    "capacity": 18000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SJE"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_lumen_field",
+    "name": "Lumen Field",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.5952,
+    "longitude": -122.3316,
+    "capacity": 68740,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SEA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_childrens_mercy_park",
+    "name": "Childrens Mercy Park",
+    "city": "Kansas City",
+    "state": "KS",
+    "latitude": 39.1218,
+    "longitude": -94.8234,
+    "capacity": 18467,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SKC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_citypark",
+    "name": "CityPark",
+    "city": "St. Louis",
+    "state": "MO",
+    "latitude": 38.6322,
+    "longitude": -90.2094,
+    "capacity": 22500,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "STL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bmo_field",
+    "name": "BMO Field",
+    "city": "Toronto",
+    "state": "ON",
+    "latitude": 43.6332,
+    "longitude": -79.4186,
+    "capacity": 30000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "TOR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_bc_place",
+    "name": "BC Place",
+    "city": "Vancouver",
+    "state": "BC",
+    "latitude": 49.2768,
+    "longitude": -123.1118,
+    "capacity": 54320,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "VAN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_mls_snapdragon_stadium",
+    "name": "Snapdragon Stadium",
+    "city": "San Diego",
+    "state": "CA",
+    "latitude": 32.7839,
+    "longitude": -117.1224,
+    "capacity": 35000,
+    "sport": "MLS",
+    "primary_team_abbrevs": [
+      "SDG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_bmo_stadium",
+    "name": "BMO Stadium",
+    "city": "Los Angeles",
+    "state": "CA",
+    "latitude": 34.0128,
+    "longitude": -118.2841,
+    "capacity": 22000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "ANG"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_paypal_park",
+    "name": "PayPal Park",
+    "city": "San Jose",
+    "state": "CA",
+    "latitude": 37.3513,
+    "longitude": -121.9253,
+    "capacity": 18000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "BAY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_seatgeek_stadium",
+    "name": "SeatGeek Stadium",
+    "city": "Chicago",
+    "state": "IL",
+    "latitude": 41.6462,
+    "longitude": -87.7304,
+    "capacity": 20000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "CHI"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_shell_energy_stadium",
+    "name": "Shell Energy Stadium",
+    "city": "Houston",
+    "state": "TX",
+    "latitude": 29.7523,
+    "longitude": -95.3522,
+    "capacity": 22039,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "HOU"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_cpkc_stadium",
+    "name": "CPKC Stadium",
+    "city": "Kansas City",
+    "state": "KS",
+    "latitude": 39.0851,
+    "longitude": -94.5582,
+    "capacity": 11500,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "KCC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_red_bull_arena",
+    "name": "Red Bull Arena",
+    "city": "Harrison",
+    "state": "NJ",
+    "latitude": 40.7368,
+    "longitude": -74.1503,
+    "capacity": 25000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "NJY"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_wakemed_soccer_park",
+    "name": "WakeMed Soccer Park",
+    "city": "Cary",
+    "state": "NC",
+    "latitude": 35.8589,
+    "longitude": -78.7989,
+    "capacity": 10000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "NCC"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_interco_stadium",
+    "name": "InterCo Stadium",
+    "city": "Orlando",
+    "state": "FL",
+    "latitude": 28.5411,
+    "longitude": -81.3899,
+    "capacity": 25500,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "ORL"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_providence_park",
+    "name": "Providence Park",
+    "city": "Portland",
+    "state": "OR",
+    "latitude": 45.5217,
+    "longitude": -122.6917,
+    "capacity": 25218,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "POR"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_lumen_field",
+    "name": "Lumen Field",
+    "city": "Seattle",
+    "state": "WA",
+    "latitude": 47.5952,
+    "longitude": -122.3316,
+    "capacity": 68740,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "RGN"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_snapdragon_stadium",
+    "name": "Snapdragon Stadium",
+    "city": "San Diego",
+    "state": "CA",
+    "latitude": 32.7839,
+    "longitude": -117.1224,
+    "capacity": 35000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "SDW"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_america_first_field",
+    "name": "America First Field",
+    "city": "Sandy",
+    "state": "UT",
+    "latitude": 40.5828,
+    "longitude": -111.8933,
+    "capacity": 20213,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "UTA"
+    ],
+    "year_opened": null
+  },
+  {
+    "canonical_id": "stadium_nwsl_audi_field",
+    "name": "Audi Field",
+    "city": "Washington",
+    "state": "DC",
+    "latitude": 38.8686,
+    "longitude": -77.0128,
+    "capacity": 20000,
+    "sport": "NWSL",
+    "primary_team_abbrevs": [
+      "WSH"
+    ],
+    "year_opened": null
   }
 ]

SportsTime/Resources/teams_canonical.json

@@ -1102,5 +1102,677 @@
     "division_id": "nhl_central",
     "primary_color": null,
     "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_atl",
+    "name": "Atlanta Dream",
+    "abbreviation": "ATL",
+    "sport": "WNBA",
+    "city": "College Park",
+    "stadium_canonical_id": "stadium_wnba_gateway_center_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_chi",
+    "name": "Chicago Sky",
+    "abbreviation": "CHI",
+    "sport": "WNBA",
+    "city": "Chicago",
+    "stadium_canonical_id": "stadium_wnba_wintrust_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_con",
+    "name": "Connecticut Sun",
+    "abbreviation": "CON",
+    "sport": "WNBA",
+    "city": "Uncasville",
+    "stadium_canonical_id": "stadium_wnba_mohegan_sun_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_dal",
+    "name": "Dallas Wings",
+    "abbreviation": "DAL",
+    "sport": "WNBA",
+    "city": "Arlington",
+    "stadium_canonical_id": "stadium_wnba_college_park_center",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_gsv",
+    "name": "Golden State Valkyries",
+    "abbreviation": "GSV",
+    "sport": "WNBA",
+    "city": "San Francisco",
+    "stadium_canonical_id": "stadium_wnba_chase_center",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_ind",
+    "name": "Indiana Fever",
+    "abbreviation": "IND",
+    "sport": "WNBA",
+    "city": "Indianapolis",
+    "stadium_canonical_id": "stadium_wnba_gainbridge_fieldhouse",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_lva",
+    "name": "Las Vegas Aces",
+    "abbreviation": "LVA",
+    "sport": "WNBA",
+    "city": "Las Vegas",
+    "stadium_canonical_id": "stadium_wnba_michelob_ultra_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_las",
+    "name": "Los Angeles Sparks",
+    "abbreviation": "LAS",
+    "sport": "WNBA",
+    "city": "Los Angeles",
+    "stadium_canonical_id": "stadium_wnba_cryptocom_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_min",
+    "name": "Minnesota Lynx",
+    "abbreviation": "MIN",
+    "sport": "WNBA",
+    "city": "Minneapolis",
+    "stadium_canonical_id": "stadium_wnba_target_center",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_nyl",
+    "name": "New York Liberty",
+    "abbreviation": "NYL",
+    "sport": "WNBA",
+    "city": "Brooklyn",
+    "stadium_canonical_id": "stadium_wnba_barclays_center",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_phx",
+    "name": "Phoenix Mercury",
+    "abbreviation": "PHX",
+    "sport": "WNBA",
+    "city": "Phoenix",
+    "stadium_canonical_id": "stadium_wnba_footprint_center",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_sea",
+    "name": "Seattle Storm",
+    "abbreviation": "SEA",
+    "sport": "WNBA",
+    "city": "Seattle",
+    "stadium_canonical_id": "stadium_wnba_climate_pledge_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_wnba_was",
+    "name": "Washington Mystics",
+    "abbreviation": "WAS",
+    "sport": "WNBA",
+    "city": "Washington",
+    "stadium_canonical_id": "stadium_wnba_entertainment__sports_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_atl",
+    "name": "Atlanta United FC",
+    "abbreviation": "ATL",
+    "sport": "MLS",
+    "city": "Atlanta",
+    "stadium_canonical_id": "stadium_mls_mercedes-benz_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_atx",
+    "name": "Austin FC",
+    "abbreviation": "ATX",
+    "sport": "MLS",
+    "city": "Austin",
+    "stadium_canonical_id": "stadium_mls_q2_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_clt",
+    "name": "Charlotte FC",
+    "abbreviation": "CLT",
+    "sport": "MLS",
+    "city": "Charlotte",
+    "stadium_canonical_id": "stadium_mls_bank_of_america_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_chi",
+    "name": "Chicago Fire FC",
+    "abbreviation": "CHI",
+    "sport": "MLS",
+    "city": "Chicago",
+    "stadium_canonical_id": "stadium_mls_soldier_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_cin",
+    "name": "FC Cincinnati",
+    "abbreviation": "CIN",
+    "sport": "MLS",
+    "city": "Cincinnati",
+    "stadium_canonical_id": "stadium_mls_tql_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_col",
+    "name": "Colorado Rapids",
+    "abbreviation": "COL",
+    "sport": "MLS",
+    "city": "Commerce City",
+    "stadium_canonical_id": "stadium_mls_dicks_sporting_goods_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_clb",
+    "name": "Columbus Crew",
+    "abbreviation": "CLB",
+    "sport": "MLS",
+    "city": "Columbus",
+    "stadium_canonical_id": "stadium_mls_lowercom_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_dal",
+    "name": "FC Dallas",
+    "abbreviation": "DAL",
+    "sport": "MLS",
+    "city": "Frisco",
+    "stadium_canonical_id": "stadium_mls_toyota_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_dcu",
+    "name": "D.C. United",
+    "abbreviation": "DCU",
+    "sport": "MLS",
+    "city": "Washington",
+    "stadium_canonical_id": "stadium_mls_audi_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_hou",
+    "name": "Houston Dynamo FC",
+    "abbreviation": "HOU",
+    "sport": "MLS",
+    "city": "Houston",
+    "stadium_canonical_id": "stadium_mls_shell_energy_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_lag",
+    "name": "LA Galaxy",
+    "abbreviation": "LAG",
+    "sport": "MLS",
+    "city": "Carson",
+    "stadium_canonical_id": "stadium_mls_dignity_health_sports_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_lafc",
+    "name": "Los Angeles FC",
+    "abbreviation": "LAFC",
+    "sport": "MLS",
+    "city": "Los Angeles",
+    "stadium_canonical_id": "stadium_mls_bmo_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_mia",
+    "name": "Inter Miami CF",
+    "abbreviation": "MIA",
+    "sport": "MLS",
+    "city": "Fort Lauderdale",
+    "stadium_canonical_id": "stadium_mls_chase_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_min",
+    "name": "Minnesota United FC",
+    "abbreviation": "MIN",
+    "sport": "MLS",
+    "city": "St. Paul",
+    "stadium_canonical_id": "stadium_mls_allianz_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_mtl",
+    "name": "CF Montreal",
+    "abbreviation": "MTL",
+    "sport": "MLS",
+    "city": "Montreal",
+    "stadium_canonical_id": "stadium_mls_stade_saputo",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_nsh",
+    "name": "Nashville SC",
+    "abbreviation": "NSH",
+    "sport": "MLS",
+    "city": "Nashville",
+    "stadium_canonical_id": "stadium_mls_geodis_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_ner",
+    "name": "New England Revolution",
+    "abbreviation": "NER",
+    "sport": "MLS",
+    "city": "Foxborough",
+    "stadium_canonical_id": "stadium_mls_gillette_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_nyc",
+    "name": "New York City FC",
+    "abbreviation": "NYC",
+    "sport": "MLS",
+    "city": "New York",
+    "stadium_canonical_id": "stadium_mls_yankee_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_rbny",
+    "name": "New York Red Bulls",
+    "abbreviation": "RBNY",
+    "sport": "MLS",
+    "city": "Harrison",
+    "stadium_canonical_id": "stadium_mls_red_bull_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_orl",
+    "name": "Orlando City SC",
+    "abbreviation": "ORL",
+    "sport": "MLS",
+    "city": "Orlando",
+    "stadium_canonical_id": "stadium_mls_interco_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_phi",
+    "name": "Philadelphia Union",
+    "abbreviation": "PHI",
+    "sport": "MLS",
+    "city": "Chester",
+    "stadium_canonical_id": "stadium_mls_subaru_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_por",
+    "name": "Portland Timbers",
+    "abbreviation": "POR",
+    "sport": "MLS",
+    "city": "Portland",
+    "stadium_canonical_id": "stadium_mls_providence_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_rsl",
+    "name": "Real Salt Lake",
+    "abbreviation": "RSL",
+    "sport": "MLS",
+    "city": "Sandy",
+    "stadium_canonical_id": "stadium_mls_america_first_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_sje",
+    "name": "San Jose Earthquakes",
+    "abbreviation": "SJE",
+    "sport": "MLS",
+    "city": "San Jose",
+    "stadium_canonical_id": "stadium_mls_paypal_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_sea",
+    "name": "Seattle Sounders FC",
+    "abbreviation": "SEA",
+    "sport": "MLS",
+    "city": "Seattle",
+    "stadium_canonical_id": "stadium_mls_lumen_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_skc",
+    "name": "Sporting Kansas City",
+    "abbreviation": "SKC",
+    "sport": "MLS",
+    "city": "Kansas City",
+    "stadium_canonical_id": "stadium_mls_childrens_mercy_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_stl",
+    "name": "St. Louis City SC",
+    "abbreviation": "STL",
+    "sport": "MLS",
+    "city": "St. Louis",
+    "stadium_canonical_id": "stadium_mls_citypark",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_tor",
+    "name": "Toronto FC",
+    "abbreviation": "TOR",
+    "sport": "MLS",
+    "city": "Toronto",
+    "stadium_canonical_id": "stadium_mls_bmo_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_van",
+    "name": "Vancouver Whitecaps FC",
+    "abbreviation": "VAN",
+    "sport": "MLS",
+    "city": "Vancouver",
+    "stadium_canonical_id": "stadium_mls_bc_place",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_mls_sdg",
+    "name": "San Diego FC",
+    "abbreviation": "SDG",
+    "sport": "MLS",
+    "city": "San Diego",
+    "stadium_canonical_id": "stadium_mls_snapdragon_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_ang",
+    "name": "Angel City FC",
+    "abbreviation": "ANG",
+    "sport": "NWSL",
+    "city": "Los Angeles",
+    "stadium_canonical_id": "stadium_nwsl_bmo_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_bay",
+    "name": "Bay FC",
+    "abbreviation": "BAY",
+    "sport": "NWSL",
+    "city": "San Jose",
+    "stadium_canonical_id": "stadium_nwsl_paypal_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_chi",
+    "name": "Chicago Red Stars",
+    "abbreviation": "CHI",
+    "sport": "NWSL",
+    "city": "Chicago",
+    "stadium_canonical_id": "stadium_nwsl_seatgeek_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_hou",
+    "name": "Houston Dash",
+    "abbreviation": "HOU",
+    "sport": "NWSL",
+    "city": "Houston",
+    "stadium_canonical_id": "stadium_nwsl_shell_energy_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_kcc",
+    "name": "Kansas City Current",
+    "abbreviation": "KCC",
+    "sport": "NWSL",
+    "city": "Kansas City",
+    "stadium_canonical_id": "stadium_nwsl_cpkc_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_njy",
+    "name": "NJ/NY Gotham FC",
+    "abbreviation": "NJY",
+    "sport": "NWSL",
+    "city": "Harrison",
+    "stadium_canonical_id": "stadium_nwsl_red_bull_arena",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_ncc",
+    "name": "North Carolina Courage",
+    "abbreviation": "NCC",
+    "sport": "NWSL",
+    "city": "Cary",
+    "stadium_canonical_id": "stadium_nwsl_wakemed_soccer_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_orl",
+    "name": "Orlando Pride",
+    "abbreviation": "ORL",
+    "sport": "NWSL",
+    "city": "Orlando",
+    "stadium_canonical_id": "stadium_nwsl_interco_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_por",
+    "name": "Portland Thorns FC",
+    "abbreviation": "POR",
+    "sport": "NWSL",
+    "city": "Portland",
+    "stadium_canonical_id": "stadium_nwsl_providence_park",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_rgn",
+    "name": "Seattle Reign FC",
+    "abbreviation": "RGN",
+    "sport": "NWSL",
+    "city": "Seattle",
+    "stadium_canonical_id": "stadium_nwsl_lumen_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_sdw",
+    "name": "San Diego Wave FC",
+    "abbreviation": "SDW",
+    "sport": "NWSL",
+    "city": "San Diego",
+    "stadium_canonical_id": "stadium_nwsl_snapdragon_stadium",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_uta",
+    "name": "Utah Royals FC",
+    "abbreviation": "UTA",
+    "sport": "NWSL",
+    "city": "Sandy",
+    "stadium_canonical_id": "stadium_nwsl_america_first_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
+  },
+  {
+    "canonical_id": "team_nwsl_wsh",
+    "name": "Washington Spirit",
+    "abbreviation": "WSH",
+    "sport": "NWSL",
+    "city": "Washington",
+    "stadium_canonical_id": "stadium_nwsl_audi_field",
+    "conference_id": null,
+    "division_id": null,
+    "primary_color": null,
+    "secondary_color": null
   }
 ]

docs/DATA_SCRAPING.md

@@ -0,0 +1,368 @@
+# Data Scraping System
+
+This document describes the SportsTime schedule scraping system, including all data sources, the fallback architecture, and operational procedures.
+
+## Overview
+
+The scraping system (`Scripts/scrape_schedules.py`) fetches game schedules for 8 sports leagues from multiple data sources. It uses a **multi-source fallback architecture** to ensure reliability—if one source fails or returns insufficient data, the system automatically tries backup sources.
+
+## Supported Sports
+
+| Sport | League | Season Format | Typical Games |
+|-------|--------|---------------|---------------|
+| NBA | National Basketball Association | 2024-25 | ~1,230 |
+| MLB | Major League Baseball | 2025 | ~2,430 |
+| NHL | National Hockey League | 2024-25 | ~1,312 |
+| NFL | National Football League | 2025-26 | ~272 |
+| WNBA | Women's National Basketball Association | 2025 | ~200 |
+| MLS | Major League Soccer | 2025 | ~500 |
+| NWSL | National Women's Soccer League | 2025 | ~180 |
+| CBB | NCAA Division I Basketball | 2025-26 | ~5,000+ |
+
+## Data Sources by Sport
+
+Each sport has 3 data sources configured in priority order. The scraper tries sources sequentially until one returns sufficient data.
+
+### NBA (National Basketball Association)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | Basketball-Reference | `basketball-reference.com/leagues/NBA_{year}_games-{month}.html` | 500 |
+| 2 | ESPN API | `site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard` | 500 |
+| 3 | CBS Sports | `cbssports.com/nba/schedule/` | 100 |
+
+**Notes:**
+- Basketball-Reference is most reliable for historical data
+- ESPN API provides real-time updates but may have rate limits
+- CBS Sports as emergency fallback
+
+### MLB (Major League Baseball)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | MLB Stats API | `statsapi.mlb.com/api/v1/schedule` | 1,000 |
+| 2 | Baseball-Reference | `baseball-reference.com/leagues/majors/{year}-schedule.shtml` | 500 |
+| 3 | ESPN API | `site.api.espn.com/apis/site/v2/sports/baseball/mlb/scoreboard` | 500 |
+
+**Notes:**
+- MLB Stats API is official and most complete
+- Baseball-Reference good for historical seasons
+- Rate limit: 1 request/second for all sources
+
+### NHL (National Hockey League)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | Hockey-Reference | `hockey-reference.com/leagues/NHL_{year}_games.html` | 500 |
+| 2 | ESPN API | `site.api.espn.com/apis/site/v2/sports/hockey/nhl/scoreboard` | 500 |
+| 3 | NHL API | `api-web.nhle.com/v1/schedule/{date}` | 100 |
+
+**Notes:**
+- Hockey-Reference uses season format like "2025" for 2024-25 season
+- NHL API is official but documentation is limited
+
+### NFL (National Football League)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | ESPN API | `site.api.espn.com/apis/site/v2/sports/football/nfl/scoreboard` | 200 |
+| 2 | Pro-Football-Reference | `pro-football-reference.com/years/{year}/games.htm` | 200 |
+| 3 | CBS Sports | `cbssports.com/nfl/schedule/` | 100 |
+
+**Notes:**
+- ESPN provides week-by-week schedule data
+- PFR has complete historical archives
+- Season runs September-February (crosses calendar years)
+
+### WNBA (Women's National Basketball Association)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | ESPN API | `site.api.espn.com/apis/site/v2/sports/basketball/wnba/scoreboard` | 100 |
+| 2 | Basketball-Reference | `basketball-reference.com/wnba/years/{year}_games.html` | 100 |
+| 3 | CBS Sports | `cbssports.com/wnba/schedule/` | 50 |
+
+**Notes:**
+- WNBA season runs May-September
+- Fewer games than NBA (12 teams, 40-game season)
+
+### MLS (Major League Soccer)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | ESPN API | `site.api.espn.com/apis/site/v2/sports/soccer/usa.1/scoreboard` | 200 |
+| 2 | FBref | `fbref.com/en/comps/22/{year}/schedule/` | 100 |
+| 3 | MLSSoccer.com | `mlssoccer.com/schedule/scores` | 100 |
+
+**Notes:**
+- ESPN's league ID for MLS is `usa.1`
+- FBref may block automated requests (403 errors)
+- Season runs February-November
+
+### NWSL (National Women's Soccer League)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | ESPN API | `site.api.espn.com/apis/site/v2/sports/soccer/usa.nwsl/scoreboard` | 100 |
+| 2 | FBref | `fbref.com/en/comps/182/{year}/schedule/` | 50 |
+| 3 | NWSL.com | `nwslsoccer.com/schedule` | 50 |
+
+**Notes:**
+- ESPN's league ID for NWSL is `usa.nwsl`
+- 14 teams, ~180 regular season games
+
+### CBB (College Basketball - Division I)
+
+| Priority | Source | URL Pattern | Min Games |
+|----------|--------|-------------|-----------|
+| 1 | ESPN API | `site.api.espn.com/apis/site/v2/sports/basketball/mens-college-basketball/scoreboard` | 1,000 |
+| 2 | Sports-Reference | `sports-reference.com/cbb/seasons/{year}-schedule.html` | 500 |
+| 3 | CBS Sports | `cbssports.com/college-basketball/schedule/` | 300 |
+
+**Notes:**
+- ~360 Division I teams = 5,000+ games per season
+- ESPN provides group filtering (D1 = group 50)
+- Season runs November-April (March Madness)
+
+## Fallback Architecture
+
+### ScraperSource Configuration
+
+```python
+@dataclass
+class ScraperSource:
+    name: str                              # Display name (e.g., "ESPN")
+    scraper_func: Callable[[int], list]    # Function taking season year
+    priority: int = 1                      # Lower = higher priority
+    min_games: int = 10                    # Minimum to consider success
+```
+
+### Fallback Logic
+
+```python
+def scrape_with_fallback(sport, season, sources):
+    sources = sorted(sources, key=lambda s: s.priority)
+
+    for source in sources:
+        try:
+            games = source.scraper_func(season)
+            if len(games) >= source.min_games:
+                return games  # Success!
+        except Exception:
+            continue  # Try next source
+
+    return []  # All sources failed
+```
+
+### Example Output
+
+```
+SCRAPING NBA 2026
+============================================================
+  [1/3] Trying Basketball-Reference...
+  ✓ Basketball-Reference returned 1230 games
+
+SCRAPING MLB 2026
+============================================================
+  [1/3] Trying MLB Stats API...
+  ✗ MLB Stats API failed: Connection timeout
+  [2/3] Trying Baseball-Reference...
+  ✓ Baseball-Reference returned 2430 games
+```
+
+## Usage
+
+### Command Line Interface
+
+```bash
+# Scrape all sports for 2026 season
+python scrape_schedules.py --sport all --season 2026
+
+# Scrape specific sport
+python scrape_schedules.py --sport nba --season 2026
+python scrape_schedules.py --sport mlb --season 2026
+
+# Scrape only stadiums (legacy method)
+python scrape_schedules.py --stadiums-only
+
+# Scrape comprehensive stadium data for ALL 11 sports
+python scrape_schedules.py --stadiums-update
+
+# Custom output directory
+python scrape_schedules.py --sport all --season 2026 --output ./custom_data
+```
+
+### Available Options
+
+| Option | Values | Default | Description |
+|--------|--------|---------|-------------|
+| `--sport` | `nba`, `mlb`, `nhl`, `nfl`, `wnba`, `mls`, `nwsl`, `cbb`, `all` | `all` | Sport(s) to scrape |
+| `--season` | Year (int) | `2026` | Season ending year |
+| `--stadiums-only` | Flag | False | Only scrape stadium data (legacy method) |
+| `--stadiums-update` | Flag | False | Scrape ALL stadium data for all 8 sports |
+| `--output` | Path | `./data` | Output directory |
+
+## Output Format
+
+### Directory Structure
+
+```
+data/
+├── games.json          # All games from all sports
+├── stadiums.json       # All stadium/venue data
+└── teams.json          # Team metadata (generated)
+```
+
+### Game JSON Schema
+
+```json
+{
+  "id": "NBA-2025-26-LAL-BOS-20251225",
+  "sport": "NBA",
+  "homeTeam": "Los Angeles Lakers",
+  "awayTeam": "Boston Celtics",
+  "homeTeamId": "LAL",
+  "awayTeamId": "BOS",
+  "date": "2025-12-25T20:00:00Z",
+  "venue": "Crypto.com Arena",
+  "city": "Los Angeles",
+  "state": "CA"
+}
+```
+
+### Stadium JSON Schema
+
+```json
+{
+  "id": "crypto-com-arena",
+  "name": "Crypto.com Arena",
+  "city": "Los Angeles",
+  "state": "CA",
+  "latitude": 34.0430,
+  "longitude": -118.2673,
+  "sports": ["NBA", "NHL"],
+  "teams": ["Los Angeles Lakers", "Los Angeles Kings", "Los Angeles Clippers"]
+}
+```
+
+## Stable Game IDs
+
+Games are assigned stable IDs using the pattern:
+```
+{SPORT}-{SEASON}-{AWAY}-{HOME}-{DATE}
+```
+
+Example: `NBA-2025-26-LAL-BOS-20251225`
+
+This ensures:
+- Same game gets same ID across scraper runs
+- IDs survive if scraper source changes
+- CloudKit records can be updated (not duplicated)
+
+## Rate Limiting
+
+All scrapers implement rate limiting to avoid being blocked:
+
+| Source Type | Rate Limit | Implementation |
+|-------------|------------|----------------|
+| Sports-Reference family | 1 req/sec | `time.sleep(1)` between requests |
+| ESPN API | 0.5 req/sec | `time.sleep(0.5)` between date ranges |
+| Official APIs (MLB, NHL) | 1 req/sec | `time.sleep(1)` between requests |
+| CBS Sports | 1 req/sec | `time.sleep(1)` between pages |
+
+## Error Handling
+
+### Common Errors
+
+| Error | Cause | Resolution |
+|-------|-------|------------|
+| `403 Forbidden` | Rate limited or blocked | Wait 5 min, reduce request rate |
+| `Connection timeout` | Network issue | Retry, check connectivity |
+| `0 games returned` | Off-season or parsing error | Check if season has started |
+| `KeyError` in parsing | Website structure changed | Update scraper selectors |
+
+### Fallback Behavior
+
+1. If primary source fails → Try source #2
+2. If source #2 fails → Try source #3
+3. If all sources fail → Log warning, return empty list
+4. Script continues to next sport (doesn't abort)
+
+## Adding New Sources
+
+### 1. Create Scraper Function
+
+```python
+def scrape_newsport_newsource(season: int) -> list[Game]:
+    """Scrape NewSport schedule from NewSource."""
+    games = []
+    url = f"https://newsource.com/schedule/{season}"
+
+    response = requests.get(url, headers=HEADERS)
+    # Parse response...
+
+    return games
+```
+
+### 2. Register in main()
+
+```python
+if args.sport in ['newsport', 'all']:
+    sources = [
+        ScraperSource('Primary', scrape_newsport_primary, priority=1, min_games=100),
+        ScraperSource('NewSource', scrape_newsport_newsource, priority=2, min_games=50),
+        ScraperSource('Backup', scrape_newsport_backup, priority=3, min_games=25),
+    ]
+    games = scrape_with_fallback('NEWSPORT', args.season, sources)
+```
+
+### 3. Add to CLI choices
+
+```python
+parser.add_argument('--sport', choices=[..., 'newsport', 'all'])
+```
+
+## Maintenance
+
+### Monthly Tasks
+- Run full scrape to update schedules
+- Check for 403 errors indicating blocked sources
+- Verify game counts match expected totals
+
+### Seasonal Tasks
+- Update season year in scripts
+- Check for website structure changes
+- Verify new teams/venues are included
+
+### When Sources Break
+1. Check if website changed structure (inspect HTML)
+2. Update CSS selectors or JSON paths
+3. If permanently broken, add new backup source
+4. Update min_games thresholds if needed
+
+## Dependencies
+
+```
+requests>=2.28.0
+beautifulsoup4>=4.11.0
+lxml>=4.9.0
+```
+
+Install with:
+```bash
+cd Scripts && pip install -r requirements.txt
+```
+
+## CloudKit Integration
+
+After scraping, data is uploaded to CloudKit via:
+```bash
+python cloudkit_import.py
+```
+
+This syncs:
+- Games → `CanonicalGame` records
+- Stadiums → `CanonicalStadium` records
+- Teams → `CanonicalTeam` records
+
+The iOS app then syncs from CloudKit to local SwiftData storage.