2,745
σ unavailable12.0
BadmintonOfficial Ratings
Transparent, open-source ratings for the world’s fastest racquet sport.
The OpenRating engine blends a modern Bayesian core with context-aware weighting, delivering rankings you can audit, explain, and trust—no black boxes.
Ranked players
3
Latest update
Dec 31, 2025
Total matches
—
Open source and community-backed — find the code on GitHub.
Presented in partnership with
Top players
Live ratings from the global badminton ladder.
| Rank | Player | Rating | σ | Δ |
|---|---|---|---|---|
| 1 | Chen Long CHN | 2,745 | σ unavailable | 12.0 |
| 2 | Victor Axelsen DEN | 2,712 | σ unavailable | 4.0 |
| 3 | Lee Zii Jia MAS | 2,688 | σ unavailable | 6.0 |
σ reflects the model confidence; Δ shows the most recent change.Learn how OpenRating works.
Big Movers
Latest rating deltas applied to the ladder.
- +14.0Akane YamaguchiAkane Yamaguchi
Applied Dec 31
- +9.0An Se-youngAn Se-young
Applied Dec 31
Search players & events
Look up rating cards by name or jump straight to a tournament page. Autocomplete coming soon.
Get started with OpenRating
Dive into docs, methodology, and the source code.
How OpenRating Works
Dive into the rating methodology, update cadence, and reliability measures.
REST API
Read the OpenAPI reference, SDK snippets, and integration guides for the OpenRating platform.
GitHub Repository
Explore the open-source codebase and contribute enhancements.
Add Your Sport
OpenRating is open source and self-hostable. Prefer a hosted rollout or want a new sport onboarded? Start the conversation with our team.
How the ratings work
OpenRating combines a Bayesian core (Glicko-inspired) with match weighting tuned for badminton’s formats. Here’s the one-minute TLDR:
- Dynamic baselines: all players start with the same prior, but σ shrinks as they compete.
- Event-aware updates: results are weighted by match importance (tour tier, draw stage, freshness).
- Doubles synergy: team matches update each player individually while respecting partner strength.