Sportstime/Scripts/docs/DATA_AUDIT.md

SportsTime Data Audit Report

Generated: 2026-01-20 Scope: NBA, MLB, NFL, NHL, MLS, WNBA, NWSL Data Pipeline: Scripts → CloudKit → iOS App

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Executive Summary

The data audit identified 15 issues across the SportsTime data pipeline, with significant gaps in source reliability, stadium resolution, and iOS data freshness.

Severity	Count	Description
Critical	1	iOS bundled data severely outdated
High	4	Single-source sports, NHL stadium data, NBA naming rights
Medium	6	Alias gaps, outdated config, silent game exclusion
Low	4	Minor configuration and coverage issues

Key Findings

Data Pipeline Health:

• ✅ Canonical ID system: 100% format compliance across 7,186 IDs
• ✅ Team mappings: All 183 teams correctly mapped with current abbreviations
• ✅ Referential integrity: Zero orphan references (0 games pointing to non-existent teams/stadiums)
• ⚠️ Stadium resolution: 1,466 games (21.6%) have unresolved stadiums

Critical Risks:

1. ESPN single-point-of-failure for WNBA, NWSL, MLS - if ESPN changes, 3 sports lose all data
2. NHL has 100% missing stadiums - Hockey Reference provides no venue data
3. iOS bundled data 27% behind - 1,820 games missing from first-launch experience

Root Causes:

• Stadium naming rights changed faster than alias updates (2024-2025)
• Fallback source limit (max_sources_to_try = 2) prevents third source from being tried
• Hockey Reference source limitation (no venue info) combined with fallback limit
• iOS bundled JSON not updated with latest pipeline output

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Phase Status Tracking

Phase	Status	Issues Found
1. Hardcoded Mapping Audit	✅ COMPLETE	1 Low
2. Alias File Completeness	✅ COMPLETE	1 Medium, 1 Low
3. Scraper Source Reliability	✅ COMPLETE	2 High, 1 Medium
4. Game Count & Coverage	✅ COMPLETE	2 High, 2 Medium, 1 Low
5. Canonical ID Consistency	✅ COMPLETE	0 issues
6. Referential Integrity	✅ COMPLETE	1 Medium (NHL source)
7. iOS Data Reception	✅ COMPLETE	1 Critical, 1 Medium, 1 Low

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Phase 1 Results: Hardcoded Mapping Audit

Files Audited:

• sportstime_parser/normalizers/team_resolver.py (TEAM_MAPPINGS)
• sportstime_parser/normalizers/stadium_resolver.py (STADIUM_MAPPINGS)

Team Counts

Sport	Hardcoded	Expected	Abbreviations	Status
NBA	30	30	38	✅
MLB	30	30	38	✅
NFL	32	32	40	✅
NHL	32	32	41	✅
MLS	30	30*	32	✅
WNBA	13	13	13	✅
NWSL	16	16	24	✅

*MLS: 29 original teams + San Diego FC (2025 expansion) = 30

Stadium Counts

Sport	Hardcoded	Notes	Status
NBA	30	1 per team	✅
MLB	57	30 regular + 18 spring training + 9 special venues	✅
NFL	30	Includes shared venues (SoFi Stadium: LAR+LAC, MetLife: NYG+NYJ)	✅
NHL	32	1 per team	✅
MLS	30	1 per team	✅
WNBA	13	1 per team	✅
NWSL	19	14 current + 5 expansion team venues (Boston/Denver)	✅

Recent Updates Verification

Update	Type	Status	Notes
Utah Hockey Club (NHL)	Relocation	✅ Present	ARI + UTA abbreviations both map to team_nhl_ari
Golden State Valkyries (WNBA)	Expansion 2025	✅ Present	team_wnba_gsv with Chase Center venue
Boston Legacy FC (NWSL)	Expansion 2026	✅ Present	team_nwsl_bos with Gillette Stadium
Denver Summit FC (NWSL)	Expansion 2026	✅ Present	team_nwsl_den with Dick's Sporting Goods Park
Oakland A's → Sacramento	Temporary relocation	✅ Present	stadium_mlb_sutter_health_park
San Diego FC (MLS)	Expansion 2025	✅ Present	team_mls_sd with Snapdragon Stadium
FedExField → Northwest Stadium	Naming rights	✅ Present	stadium_nfl_northwest_stadium

NFL Stadium Sharing

Stadium	Teams	Status
SoFi Stadium	LAR, LAC	✅ Correct
MetLife Stadium	NYG, NYJ	✅ Correct

Issues Found

#	Issue	Severity	Description
1	WNBA single abbreviations	Low	All 13 WNBA teams have only 1 abbreviation each. May need additional abbreviations for source compatibility.

Phase 1 Summary

Result: PASS - All team and stadium mappings are complete and up-to-date with 2025-2026 changes.

• ✅ All 7 sports have correct team counts
• ✅ All stadium counts are appropriate (including spring training, special venues)
• ✅ Recent franchise moves/expansions are reflected
• ✅ Stadium sharing is correctly handled
• ✅ Naming rights updates are current

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Phase 2 Results: Alias File Completeness

Files Audited:

• Scripts/team_aliases.json
• Scripts/stadium_aliases.json

Team Aliases Summary

Sport	Entries	Coverage	Status
MLB	23	Historical relocations/renames	✅
NBA	29	Historical relocations/renames	✅
NHL	24	Historical relocations/renames	✅
NFL	0	No aliases	⚠️
MLS	0	No aliases (newer league)	✅
WNBA	0	No aliases (newer league)	✅
NWSL	0	No aliases (newer league)	✅
Total	76

• All 76 entries have valid date ranges
• No orphan references (all canonical IDs exist in mappings)

Stadium Aliases Summary

Sport	Entries	Coverage	Status
MLB	109	Regular + spring training + special venues	✅
NFL	65	Naming rights history	✅
NBA	44	Naming rights history	✅
NHL	39	Naming rights history	✅
MLS	35	Current + naming variants	✅
WNBA	15	Current + naming variants	✅
NWSL	14	Current + naming variants	✅
Total	321

• 65 entries have date ranges (historical naming rights)
• 256 entries are permanent aliases (no date restrictions)

Orphan Reference Check

Type	Count	Status
Team aliases with invalid references	0	✅
Stadium aliases with invalid references	5	❌

Orphan Stadium References Found:

Alias Name	References (Invalid)	Correct ID
Broncos Stadium at Mile High	stadium_nfl_empower_field_at_mile_high	stadium_nfl_empower_field
Sports Authority Field at Mile High	stadium_nfl_empower_field_at_mile_high	stadium_nfl_empower_field
Invesco Field at Mile High	stadium_nfl_empower_field_at_mile_high	stadium_nfl_empower_field
Mile High Stadium	stadium_nfl_empower_field_at_mile_high	stadium_nfl_empower_field
Arrowhead Stadium	stadium_nfl_geha_field_at_arrowhead_stadium	stadium_nfl_arrowhead_stadium

Historical Changes Coverage

Historical Name	Current Team	In Aliases?
Montreal Expos	Washington Nationals	✅
Seattle SuperSonics	Oklahoma City Thunder	✅
Arizona Coyotes	Utah Hockey Club	✅
Cleveland Indians	Cleveland Guardians	✅
Hartford Whalers	Carolina Hurricanes	✅
Quebec Nordiques	Colorado Avalanche	✅
Vancouver Grizzlies	Memphis Grizzlies	✅
Washington Redskins	Washington Commanders	❌ Missing
Washington Football Team	Washington Commanders	❌ Missing
Brooklyn Dodgers	Los Angeles Dodgers	❌ Missing

Issues Found

#	Issue	Severity	Description
2	Orphan stadium alias references	Medium	5 stadium aliases point to non-existent canonical IDs (stadium_nfl_empower_field_at_mile_high, stadium_nfl_geha_field_at_arrowhead_stadium). Causes resolution failures for historical Denver/KC stadium names.
3	No NFL team aliases	Low	Missing Washington Redskins/Football Team historical names. Limits historical game matching for NFL.

Phase 2 Summary

Result: PASS with issues - Alias files cover most historical changes but have referential integrity bugs.

• ✅ Team aliases cover MLB/NBA/NHL historical changes
• ✅ Stadium aliases cover naming rights changes across all sports
• ✅ No date range validation errors
• ❌ 5 orphan stadium references need fixing
• ⚠️ No NFL team aliases (Washington Redskins/Football Team missing)

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Phase 3 Results: Scraper Source Reliability

Files Audited:

• sportstime_parser/scrapers/base.py (fallback logic)
• sportstime_parser/scrapers/nba.py, mlb.py, nfl.py, nhl.py, mls.py, wnba.py, nwsl.py

Source Dependency Matrix

Sport	Primary	Status	Fallback 1	Status	Fallback 2	Status	Risk
NBA	basketball_reference	✅	espn	✅	cbs	❌ NOT IMPL	Medium
MLB	mlb_api	✅	espn	✅	baseball_reference	✅	Low
NFL	espn	✅	pro_football_reference	✅	cbs	❌ NOT IMPL	Medium
NHL	hockey_reference	✅	nhl_api	✅	espn	✅	Low
MLS	espn	✅	fbref	❌ NOT IMPL	-	-	HIGH
WNBA	espn	✅	-	-	-	-	HIGH
NWSL	espn	✅	-	-	-	-	HIGH

Unimplemented Sources

Sport	Source	Line	Status
NBA	cbs	nba.py:421	raise NotImplementedError("CBS scraper not implemented")
NFL	cbs	nfl.py:386	raise NotImplementedError("CBS scraper not implemented")
MLS	fbref	mls.py:214	raise NotImplementedError("FBref scraper not implemented")

Fallback Logic Analysis

File: base.py:189

max_sources_to_try = 2  # Don't try all sources if first few return nothing

Impact:

• Even if 3 sources are declared, only 2 are tried
• If sources 1 and 2 fail, source 3 is never attempted
• This limits resilience for NBA, MLB, NFL, NHL which have 3 sources

International Game Filtering

Sport	Hardcoded Locations	Notes
NFL	London, Mexico City, Frankfurt, Munich, São Paulo	✅ Complete for 2025
NHL	Prague, Stockholm, Helsinki, Tampere, Gothenburg	✅ Complete for 2025
NBA	None	⚠️ No international filtering (Abu Dhabi games?)
MLB	None	⚠️ No international filtering (Mexico City games?)
MLS	None	N/A (domestic only)
WNBA	None	N/A (domestic only)
NWSL	None	N/A (domestic only)

Single Point of Failure Risk

Sport	Primary Source	If ESPN Fails...	Risk Level
WNBA	ESPN only	Complete data loss	Critical
NWSL	ESPN only	Complete data loss	Critical
MLS	ESPN only (fbref not impl)	Complete data loss	Critical
NBA	Basketball-Ref → ESPN	ESPN fallback available	Low
NFL	ESPN → Pro-Football-Ref	Fallback available	Low
NHL	Hockey-Ref → NHL API → ESPN	Two fallbacks	Very Low
MLB	MLB API → ESPN → B-Ref	Two fallbacks	Very Low

Issues Found

#	Issue	Severity	Description
4	WNBA/NWSL/MLS single source	High	ESPN is the only working source for 3 sports. If ESPN changes or fails, data collection completely stops.
5	max_sources_to_try = 2	High	Third fallback source never tried even if available. Reduces resilience for NBA/MLB/NFL/NHL.
6	CBS/FBref not implemented	Medium	Declared fallback sources raise NotImplementedError. Appears functional in config but fails at runtime.

Phase 3 Summary

Result: FAIL - Critical single-point-of-failure for 3 sports.

• ❌ WNBA, NWSL, MLS have only ESPN (no resilience)
• ❌ Fallback limit of 2 prevents third source from being tried
• ⚠️ CBS and FBref declared but not implemented
• ✅ MLB and NHL have full fallback chains
• ✅ International game filtering present for NFL/NHL

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Phase 4 Results: Game Count & Coverage

Files Audited:

• Scripts/output/games_*.json (all 2025 season files)
• Scripts/output/validation_*.md (all validation reports)
• sportstime_parser/config.py (EXPECTED_GAME_COUNTS)

Coverage Summary

Sport	Scraped	Expected	Coverage	Status
NBA	1,231	1,230	100.1%	✅
MLB	2,866	2,430	117.9%	⚠️ Includes spring training
NFL	330	272	121.3%	⚠️ Includes preseason/playoffs
NHL	1,312	1,312	100.0%	✅
MLS	542	493	109.9%	✅ Includes playoffs
WNBA	322	220	146.4%	⚠️ Expected count outdated
NWSL	189	182	103.8%	✅

Date Range Analysis

Sport	Start Date	End Date	Notes
NBA	2025-10-21	2026-04-12	Regular season only
MLB	2025-03-01	2025-11-02	Includes spring training (417 games in March)
NFL	2025-08-01	2026-01-25	Includes preseason (49 in Aug) + playoffs (28 in Jan)
NHL	2025-10-07	2026-04-16	Regular season only
MLS	2025-02-22	2025-11-30	Regular season + playoffs
WNBA	2025-05-02	2025-10-11	Regular season + playoffs
NWSL	2025-03-15	2025-11-23	Regular season + playoffs

Game Status Distribution

All games across all sports have status unknown - game status is not being properly parsed from sources.

Duplicate Game Detection

Sport	Duplicates Found	Details
NBA	0	✅
MLB	1	game_mlb_2025_20250508_det_col_1 appears twice (doubleheader handling issue)
NFL	0	✅
NHL	0	✅
MLS	0	✅
WNBA	0	✅
NWSL	0	✅

Validation Report Analysis

Sport	Total Games	Unresolved Teams	Unresolved Stadiums	Manual Review Items
NBA	1,231	0	131	131
MLB	2,866	12	4	20
NFL	330	1	5	11
NHL	1,312	0	0	1,312 (all missing stadiums)
MLS	542	1	64	129
WNBA	322	5	65	135
NWSL	189	0	16	32

Top Unresolved Stadium Names (Recent Naming Rights)

Stadium Name	Occurrences	Actual Venue	Issue
Sports Illustrated Stadium	11	MLS expansion venue	New venue, missing alias
Mortgage Matchup Center	8	Rocket Mortgage FieldHouse (CLE)	2025 naming rights change
ScottsMiracle-Gro Field	4	MLS Columbus Crew	Missing alias
Energizer Park	3	MLS CITY SC (STL?)	Missing alias
Xfinity Mobile Arena	3	Intuit Dome (LAC)	2025 naming rights change
Rocket Arena	3	Toyota Center (HOU)	Potential name change
CareFirst Arena	2	Washington Mystics venue	New WNBA venue name

Unresolved Teams (Exhibition/International)

Team Name	Sport	Type	Games
BRAZIL	WNBA	International exhibition	2
Toyota Antelopes	WNBA	Japanese team	2
TEAM CLARK	WNBA	All-Star Game	1
(Various MLB)	MLB	International teams	12
(MLS international)	MLS	CCL/exhibition	1
(NFL preseason)	NFL	Pre-season exhibition	1

NHL Stadium Data Issue

Critical: Hockey Reference does not provide stadium data. All 1,312 NHL games have raw_stadium: None, causing 100% of games to have missing stadium IDs. The NHL fallback sources (NHL API, ESPN) should provide this data, but the max_sources_to_try = 2 limit combined with Hockey Reference success means fallbacks are never attempted.

Expected Count Updates Needed

Sport	Current Expected	Recommended	Reason
WNBA	220	286	13 teams × 44 games / 2 (expanded with Golden State Valkyries)
NFL	272	272 (filter preseason)	Or document that 330 includes preseason
MLB	2,430	2,430 (filter spring training)	Or document that 2,866 includes spring training

Issues Found

#	Issue	Severity	Description
7	NHL has no stadium data	High	Hockey Reference provides no venue info. All 1,312 games missing stadium_id. Fallback sources not tried.
8	131 NBA stadium resolution failures	High	Recent naming rights changes ("Mortgage Matchup Center", "Xfinity Mobile Arena") not in aliases.
9	Outdated WNBA expected count	Medium	Config says 220 but WNBA expanded to 13 teams in 2025; actual is 322 (286 regular + playoffs).
10	MLS/WNBA stadium alias gaps	Medium	64 MLS + 65 WNBA unresolved stadiums from new/renamed venues.
11	Game status not parsed	Low	All games have status unknown instead of final/scheduled/postponed.

Phase 4 Summary

Result: FAIL - Significant stadium resolution failures across multiple sports.

• ❌ 131 NBA games missing stadium (naming rights changes)
• ❌ 1,312 NHL games missing stadium (source doesn't provide data)
• ❌ 64 MLS + 65 WNBA stadiums unresolved (new/renamed venues)
• ⚠️ WNBA expected count severely outdated (220 vs 322 actual)
• ⚠️ MLB/NFL include preseason/spring training games
• ✅ No significant duplicate games (1 MLB doubleheader edge case)
• ✅ All teams resolved except exhibition/international games

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Phase 5 Results: Canonical ID Consistency

Files Audited:

• sportstime_parser/normalizers/canonical_id.py (Python ID generation)
• SportsTime/Core/Models/Local/CanonicalModels.swift (iOS models)
• SportsTime/Core/Services/BootstrapService.swift (iOS JSON parsing)
• All Scripts/output/*.json files (generated IDs)

Format Validation

Type	Total IDs	Valid	Invalid	Pass Rate
Team	183	183	0	100.0% ✅
Stadium	211	211	0	100.0% ✅
Game	6,792	6,792	0	100.0% ✅

ID Format Patterns (all validated)

Teams:    team_{sport}_{abbrev}                  → team_nba_lal
Stadiums: stadium_{sport}_{normalized_name}       → stadium_nba_cryptocom_arena
Games:    game_{sport}_{season}_{YYYYMMDD}_{away}_{home}[_{#}]
                                                  → game_nba_2025_20251021_hou_okc

Normalization Quality

Check	Result
Double underscores (__)	0 found ✅
Leading/trailing underscores	0 found ✅
Uppercase letters	0 found ✅
Special characters	0 found ✅

Abbreviation Lengths (Teams)

Length	Count
2 chars	21
3 chars	161
4 chars	1

Stadium ID Lengths

• Minimum: 8 characters
• Maximum: 29 characters
• Average: 16.2 characters

iOS Cross-Compatibility

Aspect	Status	Notes
Field naming convention	✅ Compatible	Python uses snake_case; iOS BootstrapService uses matching Codable structs
Deterministic UUID generation	✅ Compatible	iOS uses SHA256 hash of canonical_id - matches any valid string
Schema version	✅ Compatible	Both use version 1
Required fields	✅ Present	All iOS-required fields present in JSON output

Field Mapping (Python → iOS)

Python Field	iOS Field	Notes
canonical_id	canonicalId	Mapped via JSONCanonicalStadium.canonical_id → CanonicalStadium.canonicalId
home_team_canonical_id	homeTeamCanonicalId	Explicit mapping in BootstrapService
away_team_canonical_id	awayTeamCanonicalId	Explicit mapping in BootstrapService
stadium_canonical_id	stadiumCanonicalId	Explicit mapping in BootstrapService
game_datetime_utc	dateTime	ISO 8601 parsing with fallback to legacy format

Issues Found

No issues found. All canonical IDs are:

• Correctly formatted according to defined patterns
• Properly normalized (lowercase, no special characters)
• Deterministic (same input produces same output)
• Compatible with iOS parsing

Phase 5 Summary

Result: PASS - All canonical IDs are consistent and iOS-compatible.

• ✅ 100% format validation pass rate across 7,186 IDs
• ✅ No normalization issues found
• ✅ iOS BootstrapService explicitly handles snake_case → camelCase mapping
• ✅ Deterministic UUID generation using SHA256 hash

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Phase 6 Results: Referential Integrity

Files Audited:

• Scripts/output/games_*_2025.json
• Scripts/output/teams_*.json
• Scripts/output/stadiums_*.json

Game → Team References

Sport	Total Games	Valid Home	Valid Away	Orphan Home	Orphan Away	Status
NBA	1,231	1,231	1,231	0	0	✅
MLB	2,866	2,866	2,866	0	0	✅
NFL	330	330	330	0	0	✅
NHL	1,312	1,312	1,312	0	0	✅
MLS	542	542	542	0	0	✅
WNBA	322	322	322	0	0	✅
NWSL	189	189	189	0	0	✅

Result: 100% valid team references across all 6,792 games.

Game → Stadium References

Sport	Total Games	Valid	Missing	Percentage Missing
NBA	1,231	1,231	0	0.0% ✅
MLB	2,866	2,862	4	0.1% ✅
NFL	330	325	5	1.5% ✅
NHL	1,312	0	1,312	100% ❌
MLS	542	478	64	11.8% ⚠️
WNBA	322	257	65	20.2% ⚠️
NWSL	189	173	16	8.5% ⚠️

Note: "Missing" means stadium_canonical_id is empty (resolution failed at scrape time). This is NOT orphan references to non-existent stadiums.

Team → Stadium References

Sport	Teams	Valid Stadium	Invalid	Status
NBA	30	30	0	✅
MLB	30	30	0	✅
NFL	32	32	0	✅
NHL	32	32	0	✅
MLS	30	30	0	✅
WNBA	13	13	0	✅
NWSL	16	16	0	✅

Result: 100% valid team → stadium references.

Cross-Sport Stadium Check

✅ No stadiums are duplicated across sports. Each stadium_{sport}_* ID is unique to its sport.

Missing Stadium Root Causes

Sport	Missing	Root Cause
NHL	1,312	Hockey Reference provides no venue data - source limitation
MLS	64	New/renamed stadiums not in aliases (see Phase 4)
WNBA	65	New venue names not in aliases (see Phase 4)
NWSL	16	Expansion team venues + alternate venues
NFL	5	International games not in stadium mappings
MLB	4	Exhibition/international games

Orphan Reference Summary

Reference Type	Total Checked	Orphans Found
Game → Home Team	6,792	0 ✅
Game → Away Team	6,792	0 ✅
Game → Stadium	6,792	0 ✅
Team → Stadium	183	0 ✅

Note: Zero orphan references. All "missing" stadiums are resolution failures (empty string), not references to non-existent canonical IDs.

Issues Found

#	Issue	Severity	Description
12	NHL games have no stadium data	Medium	Hockey Reference source doesn't provide venue information. All 1,312 NHL games have empty stadium_canonical_id. Fallback sources could provide this data but are limited by max_sources_to_try = 2.

Phase 6 Summary

Result: PASS with known limitations - No orphan references exist; missing stadiums are resolution failures.

• ✅ 100% valid team references (home and away)
• ✅ 100% valid team → stadium references
• ✅ No orphan references to non-existent canonical IDs
• ⚠️ 1,466 games (21.6%) have empty stadium_canonical_id (resolution failures, not orphans)
• ⚠️ NHL accounts for 90% of missing stadium data (source limitation)

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Phase 7 Results: iOS Data Reception

Files Audited:

• SportsTime/Core/Services/BootstrapService.swift (JSON parsing)
• SportsTime/Core/Services/CanonicalSyncService.swift (CloudKit sync)
• SportsTime/Core/Services/DataProvider.swift (data access)
• SportsTime/Core/Models/Local/CanonicalModels.swift (SwiftData models)
• SportsTime/Resources/*_canonical.json (bundled data files)

Bundled Data Comparison

Data Type	iOS Bundled	Scripts Output	Difference	Status
Teams	148	183	-35 (19%)	❌ STALE
Stadiums	122	211	-89 (42%)	❌ STALE
Games	4,972	6,792	-1,820 (27%)	❌ STALE

iOS bundled data is significantly outdated compared to Scripts output.

Field Mapping Verification

Python Field	iOS JSON Struct	iOS Model	Type Match	Status
canonical_id	canonical_id	canonicalId	String ✅	✅
name	name	name	String ✅	✅
game_datetime_utc	game_datetime_utc	dateTime	ISO 8601 → Date ✅	✅
date + time (legacy)	date, time	dateTime	Fallback parsing ✅	✅
home_team_canonical_id	home_team_canonical_id	homeTeamCanonicalId	String ✅	✅
away_team_canonical_id	away_team_canonical_id	awayTeamCanonicalId	String ✅	✅
stadium_canonical_id	stadium_canonical_id	stadiumCanonicalId	String ✅	✅
sport	sport	sport	String ✅	✅
season	season	season	String ✅	✅
is_playoff	is_playoff	isPlayoff	Bool ✅	✅
broadcast_info	broadcast_info	broadcastInfo	String? ✅	✅

Result: All field mappings are correct and compatible.

Date Parsing Compatibility

iOS BootstrapService supports both formats:

// New canonical format (preferred)
let game_datetime_utc: String?  // ISO 8601

// Legacy format (fallback)
let date: String?   // "YYYY-MM-DD"
let time: String?   // "HH:mm" or "TBD"

Current iOS bundled games use legacy format. After updating bundled data, new game_datetime_utc format will be used.

Missing Reference Handling

DataProvider.filterRichGames() behavior:

return games.compactMap { game in
    guard let homeTeam = teamsById[game.homeTeamId],
          let awayTeam = teamsById[game.awayTeamId],
          let stadium = stadiumsById[game.stadiumId] else {
        return nil  // ⚠️ Silently drops game
    }
    return RichGame(...)
}

Impact:

• Games with missing stadium IDs are silently excluded from RichGame queries
• No error logging or fallback behavior
• User sees fewer games than expected without explanation

Deduplication Logic

Bootstrap: No explicit deduplication. If bundled JSON contains duplicate canonical IDs, both would be inserted into SwiftData (leading to potential query issues).

CloudKit Sync: Uses upsert pattern with canonical ID as unique key - duplicates would overwrite.

Schema Version Compatibility

Component	Schema Version	Status
Scripts output	1	✅
iOS CanonicalModels	1	✅
iOS BootstrapService	Expects 1	✅

Compatible. Schema version mismatch protection exists in CanonicalSyncService:

case .schemaVersionTooNew(let version):
    return "Data requires app version supporting schema \(version). Please update the app."

Bootstrap Order Validation

iOS bootstraps in correct dependency order:

1. Stadiums (no dependencies)
2. Stadium aliases (depends on stadiums)
3. League structure (no dependencies)
4. Teams (depends on stadiums)
5. Team aliases (depends on teams)
6. Games (depends on teams + stadiums)

Correct - prevents orphan references during bootstrap.

CloudKit Sync Validation

CanonicalSyncService syncs in same dependency order and tracks:

• Per-entity sync timestamps
• Skipped records (incompatible schema version)
• Skipped records (older than local)
• Sync duration and cancellation

Well-designed sync infrastructure.

Issues Found

#	Issue	Severity	Description
13	iOS bundled data severely outdated	Critical	Missing 35 teams (19%), 89 stadiums (42%), 1,820 games (27%). First-launch experience shows incomplete data until CloudKit sync completes.
14	Silent game exclusion in RichGame queries	Medium	filterRichGames() silently drops games with missing team/stadium references. Users see fewer games without explanation.
15	No bootstrap deduplication	Low	Duplicate game IDs in bundled JSON would create duplicate SwiftData records. Low risk since JSON is generated correctly.

Phase 7 Summary

Result: FAIL - iOS bundled data is critically outdated.

• ❌ iOS bundled data missing 35 teams, 89 stadiums, 1,820 games
• ⚠️ Games with unresolved references silently dropped from RichGame queries
• ✅ Field mapping between Python and iOS is correct
• ✅ Date parsing supports both legacy and new formats
• ✅ Schema versions are compatible
• ✅ Bootstrap/sync order handles dependencies correctly

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Prioritized Issue List

#	Issue	Severity	Phase	Root Cause	Remediation
13	iOS bundled data severely outdated	Critical	7	Bundled JSON not updated after pipeline runs	Copy Scripts/output/*_canonical.json to iOS Resources/ and rebuild
4	WNBA/NWSL/MLS ESPN-only source	High	3	No implemented fallback sources	Implement alternative scrapers (FBref for MLS, WNBA League Pass)
5	max_sources_to_try = 2 limits fallback	High	3	Hardcoded limit in base.py:189	Increase to 3 or remove limit for sports with 3+ sources
7	NHL has no stadium data from primary source	High	4	Hockey Reference doesn't provide venue info	Force NHL to use NHL API or ESPN as primary (they provide venues)
8	131 NBA stadium resolution failures	High	4	2024-2025 naming rights not in aliases	Add aliases: "Mortgage Matchup Center" → Rocket Mortgage FieldHouse, "Xfinity Mobile Arena" → Intuit Dome
2	Orphan stadium alias references	Medium	2	Wrong canonical IDs in stadium_aliases.json	Fix 5 Denver/KC stadium aliases pointing to non-existent IDs
6	CBS/FBref scrapers declared but not implemented	Medium	3	NotImplementedError at runtime	Either implement or remove from source lists to avoid confusion
9	Outdated WNBA expected count	Medium	4	WNBA expanded to 13 teams in 2025	Update config.py EXPECTED_GAME_COUNTS["wnba"] from 220 to 286
10	MLS/WNBA stadium alias gaps	Medium	4	New/renamed venues missing from aliases	Add 129 missing stadium aliases (64 MLS + 65 WNBA)
12	NHL games have no stadium data	Medium	6	Same as Issue #7	See Issue #7 remediation
14	Silent game exclusion in RichGame queries	Medium	7	compactMap silently drops games	Log dropped games or return partial RichGame with placeholder stadium
1	WNBA single abbreviations	Low	1	Only 1 abbreviation per team	Add alternative abbreviations for source compatibility
3	No NFL team aliases	Low	2	Missing Washington Redskins/Football Team	Add historical Washington team name aliases
11	Game status not parsed	Low	4	Status field always "unknown"	Parse game status from source data (final, scheduled, postponed)
15	No bootstrap deduplication	Low	7	No explicit duplicate check during bootstrap	Add deduplication check in bootstrapGames()

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Recommended Next Steps

Immediate (Before Next Release)

1. Update iOS bundled data (Issue #13)

   cp Scripts/output/stadiums_*.json SportsTime/Resources/stadiums_canonical.json
   cp Scripts/output/teams_*.json SportsTime/Resources/teams_canonical.json
   cp Scripts/output/games_*.json SportsTime/Resources/games_canonical.json
   

2. Fix NHL stadium data (Issues #7, #12)

   • Change NHL primary source from Hockey Reference to NHL API
   • Or: Increase max_sources_to_try to 3 so fallbacks are attempted

3. Add critical stadium aliases (Issues #8, #10)

   • "Mortgage Matchup Center" → stadium_nba_rocket_mortgage_fieldhouse
   • "Xfinity Mobile Arena" → stadium_nba_intuit_dome
   • Run validation report to identify all unresolved venue names

Short-term (This Quarter)

4. Implement MLS fallback source (Issue #4)

   • FBref has MLS data with venue information
   • Reduces ESPN single-point-of-failure risk

5. Fix orphan alias references (Issue #2)

   • Correct 5 NFL stadium aliases pointing to wrong canonical IDs
   • Add validation check to prevent future orphan references

6. Update expected game counts (Issue #9)

   • WNBA: 220 → 286 (13 teams × 44 games / 2)

Long-term (Next Quarter)

7. Implement WNBA/NWSL fallback sources (Issue #4)

   • Consider WNBA League Pass API or other sources
   • NWSL has limited data availability - may need to accept ESPN-only

8. Add RichGame partial loading (Issue #14)

   • Log games dropped due to missing references
   • Consider returning games with placeholder stadiums for NHL

9. Parse game status (Issue #11)

   • Extract final/scheduled/postponed from source data
   • Enables filtering by game state

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Verification Checklist

After implementing fixes, verify:

• Run python -m sportstime_parser scrape --sport all --season 2025
• Check validation reports show <5% unresolved stadiums per sport
• Copy output JSON to iOS Resources/
• Build iOS app and verify data loads at startup
• Query RichGames and verify game count matches expectations
• Run CloudKit sync and verify no errors