aridepai17 / worldcup-oracle
A dark, broadcast-style sports-analytics dashboard that predicts the winner of the 2026 FIFA World Cup.
Code health
aridepai17/worldcup-oracle scores 9.3 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.3 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 2 of 96 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 96
- Symbols
- 410
- Modules
- 19
- Doc pages
- 129
- Dead exports
- 227
Where the risk concentrates
All 2 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| tournament.tsartifacts/api-server/src/lib/worldcup | 98.9th %ile | 2 | 1bus factor 1 | 3 |
| FixturesList.tsxartifacts/worldcuporacle/src/components | 76.6th %ile | 1 | 1bus factor 1 | 3 |
Read more about aridepai17/worldcup-oracle
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/aridepai17/worldcup-oracle)How aridepai17/worldcup-oracle works
A dark, broadcast-style sports-analytics dashboard that predicts the winner of the 2026 FIFA World Cup. This page is an auto-generated, always-fresh map of the aridepai17/worldcup-oracle repository, written primarily in TypeScript. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 96 source files, 410 symbols, and 5 languages, organised into 19 modules, led by typescript, json, yaml. Static analysis leaves 92 open findings across the three health dimensions.
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