2,051
Reliable
6.2BadmintonOfficial 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
53K
Latest update
—
Total matches
304.6K
Open source and community-backed — find the code on GitHub.
Presented in partnership with
1,999
Calibrating
27.31,975
Calibrating
17.81,970
Calibrating
37.21,969
Calibrating
6.01,966
Calibrating
41.81,962
Calibrating
3.01,960
Calibrating
5.11,959
Calibrating
7.71,958
Calibrating
13.1Top players
Live ratings from the global badminton ladder.
| Rank | Player | Rating | σ | Δ |
|---|---|---|---|---|
| 1 | Jan-Eric ANTONSSON SWE | 2,051 | Reliable | 6.2 |
| 2 | Lubin Le Floc'H FRA | 1,999 | Calibrating | 27.3 |
| 3 | Santiago Araujo SUI | 1,975 | Calibrating | 17.8 |
| 4 | Kon Fai FOO SGP | 1,970 | Calibrating | 37.2 |
| 5 | Sathish Kumar Karunakaran IND | 1,969 | Calibrating | 6.0 |
| 6 | Casper LUND DEN | 1,966 | Calibrating | 41.8 |
| 7 | Tiago Berenguer POR | 1,962 | Calibrating | 3.0 |
| 8 | Lucas Douce MRI | 1,960 | Calibrating | 5.1 |
| 9 | Patcharakit APIRATCHATASET THA | 1,959 | Calibrating | 7.7 |
| 10 | Jan-Eric ANTONSSON SWE | 1,958 | Calibrating | 13.1 |
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.