WTA Tennis Power Rankings
WTA players ranked across six metrics that go beyond official rankings. Each metric captures a different dimension of player strength, from overall skill to surface dominance to recent form.
Rating Systems
Player Search
ELO Top 10
| # | Player | ELO | MP | Win% |
|---|---|---|---|---|
| 1 | Iga Swiatek | 2143 | 40 | 75.0% |
| 2 | Marta Kostyuk | 2068 | 40 | 80.0% |
| 3 | Karolina Muchova | 2062 | 44 | 79.5% |
| 4 | Jessica Pegula | 2046 | 54 | 81.5% |
| 5 | Linda Noskova | 2034 | 42 | 69.0% |
| 6 | Coco Gauff | 2032 | 47 | 72.3% |
| 7 | Aryna Sabalenka | 2009 | 48 | 83.3% |
| 8 | Elena Rybakina | 1999 | 55 | 76.4% |
| 9 | Elina Svitolina | 1971 | 53 | 77.4% |
| 10 | Naomi Osaka | 1945 | 33 | 72.7% |
Glicko-2 Top 10
| # | Player | Rating | RD | Vol |
|---|---|---|---|---|
| 1 | Aryna Sabalenka | 2431 | 61.5 | 0.020 |
| 2 | Iga Swiatek | 2215 | 54.8 | 0.020 |
| 3 | Elena Rybakina | 2124 | 58.3 | 0.020 |
| 4 | Jessica Pegula | 2117 | 58.5 | 0.020 |
| 5 | Marta Kostyuk | 2099 | 71.1 | 0.020 |
| 6 | Karolina Muchova | 2092 | 63.5 | 0.020 |
| 7 | Coco Gauff | 2087 | 55.7 | 0.020 |
| 8 | Elina Svitolina | 2049 | 58.9 | 0.020 |
| 9 | Amanda Anisimova | 2032 | 58.3 | 0.020 |
| 10 | Mirra Andreeva | 2014 | 57.4 | 0.020 |
Hard Court
Australian Open, US Open, most WTA events| # | Player | Rating |
|---|---|---|
| 1 | Iga Swiatek | 82 |
| 2 | Aryna Sabalenka | 79 |
| 3 | Elena Rybakina | 79 |
| 4 | Jessica Pegula | 78 |
| 5 | Coco Gauff | 71 |
| 6 | Karolina Muchova | 70 |
| 7 | Victoria Mboko | 68 |
| 8 | Elina Svitolina | 65 |
| 9 | Amanda Anisimova | 61 |
| 10 | Naomi Osaka | 58 |
Clay Court
Roland Garros, Madrid, Rome, Charleston| # | Player | Rating |
|---|---|---|
| 1 | Mirra Andreeva | 70 |
| 2 | Elina Svitolina | 63 |
| 3 | Marta Kostyuk | 62 |
| 4 | Aryna Sabalenka | 61 |
| 5 | Coco Gauff | 61 |
| 6 | Iga Swiatek | 57 |
| 7 | Elena Rybakina | 50 |
| 8 | Anastasia Potapova | 47 |
| 9 | Sorana Cirstea | 47 |
| 10 | Amanda Anisimova | 47 |
Grass Court
Wimbledon, Eastbourne, Berlin| # | Player | Rating |
|---|---|---|
| 1 | Aryna Sabalenka | 81 |
| 2 | Iga Swiatek | 76 |
| 3 | Linda Noskova | 70 |
| 4 | Amanda Anisimova | 63 |
| 5 | Coco Gauff | 60 |
| 6 | Jessica Pegula | 59 |
| 7 | Karolina Muchova | 53 |
| 8 | Belinda Bencic | 53 |
| 9 | Madison Keys | 51 |
| 10 | Elena Rybakina | 48 |
How to read this table
Example
A player with surface ELO 1700 faces an opponent rated 1900: our model gives her roughly a 25% chance. If she wins, the surplus is +0.75 (1.0 − 0.25). At a WTA 1000 semifinal, that's multiplied by the tournament weight (1.8) and round weight (1.3), giving +1.76 form points for that match. Meanwhile, the world #1 beating a qualifier she was 97% to beat earns only +0.05 form points. The win is expected, so the form reward is minimal.
Form Index Top 10
| # | Player | Form | ELO # | MP |
|---|---|---|---|---|
| 1 | Marta Kostyuk | 68.13 | #2 | 40 |
| 2 | Iga Swiatek | 65.38 | #1 | 40 |
| 3 | Sara Bejlek | 60.91 | #22 | 35 |
| 4 | Alina Korneeva Rising | 60.38 | #33 | 16 |
| 5 | Xiyu Wang Rising | 57.52 | #43 | 11 |
| 6 | Coco Gauff | 56.18 | #6 | 47 |
| 7 | Maja Chwalinska | 54.61 | #27 | 18 |
| 8 | Linda Noskova | 54.46 | #5 | 42 |
| 9 | Jessica Pegula | 54.08 | #4 | 54 |
| 10 | Liudmila Samsonova Rising | 52.47 | #32 | 36 |
Understanding the Ratings
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