2,081
Very stable
9.3BadmintonOfficial 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
112.8K
Latest update
—
Total matches
304.6K
Open source and community-backed — find the code on GitHub.
Presented in partnership with
2,076
Reliable
17.92,063
Reliable
13.52,061
Very stable
16.72,060
Very stable
20.32,055
Very stable
14.52,051
Reliable
0.52,017
Reliable
47.42,016
Very stable
11.22,015
Very stable
19.0Top players
Live ratings from the global badminton ladder.
| Rank | Player | Rating | σ | Δ |
|---|---|---|---|---|
| 1 | Yu Qi Shi CHN | 2,081 | Very stable | 9.3 |
| 2 | Yang Ming Yu LIU CHN | 2,076 | Reliable | 17.9 |
| 3 | Chao Sun CHN | 2,063 | Reliable | 13.5 |
| 4 | Zhe An HU CHN | 2,061 | Very stable | 16.7 |
| 5 | Zi Jun WANG CHN | 2,060 | Very stable | 20.3 |
| 6 | Kunlavut VITIDSARN THA | 2,055 | Very stable | 14.5 |
| 7 | Jan-Eric ANTONSSON SWE | 2,051 | Reliable | 0.5 |
| 8 | Zhi Jie Zhang CHN | 2,017 | Reliable | 47.4 |
| 9 | Minoru KOGA JPN | 2,016 | Very stable | 11.2 |
| 10 | Moh. Zaki UBAIDILLAH INA | 2,015 | Very stable | 19.0 |
σ reflects the model confidence; Δ shows the most recent change.Learn how OpenRating works.
Big Movers
Latest rating deltas applied to the ladder.
No rating movers to highlight yet. Once new matches process, the latest jumps will appear here.
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.