
2026 Women’s US Open Winner (Tennis)
- Aryna Sabalenka
- 25%
- −2.5
- Iga Swiatek
- 11%
- +0.5
- Elena Rybakina
- 10%
- —
- Coco Gauff
- 9%
- —
- Naomi Osaka
- 7%
- —
- Mirra Andreeva
- 6%
- —
- Jessica Pegula
- 4%
- —
- Alexandra Eala
- 4%
- —
- Linda Noskova
- 3%
- —
- Amanda Anisimova
- 3%
- —
- Karolina Muchova
- 2%
- —
- Elina Svitolina
- 2%
- —
- Madison Keys
- 1%
- —
- Belinda Bencic
- 1%
- —
- Diana Shnaider
- 1%
- —
- Barbora Krejcikova
- 1%
- —
- Ekaterina Alexandrova
- 1%
- —
- Emma Navarro
- 1%
- —
- Elise Mertens
- 1%
- —
- Liudmila Samsonova
- 1%
- —
- Jasmine Paolini
- 1%
- —
- Marie Bouzkova
- 1%
- —
- Qinwen Zheng
- 0%
- —
- Tereza Valentova
- 0%
- —
- Donna Vekic
- 0%
- —
- Clara Tauson
- 0%
- —
- Jelena Ostapenko
- 0%
- —
- Anastasia Potapova
- 0%
- —
- Paula Badosa
- 0%
- —
- Emma Raducanu
- 0%
- —
- Dayana Yastremska
- 0%
- —
- Ashlyn Krueger
- 0%
- —
- Maya Joint
- 0%
- —
- Daria Kasatkina
- 0%
- —
- Xiyu Wang
- 0%
- —
- Beatriz Haddad Maia
- 0%
- —
- Sofia Kenin
- 0%
- —
- Katie Boulter
- 0%
- —
- Victoria Mboko
- 0%
- —
- Marketa Vondrousova
- 0%
- —
Traders currently price "Aryna Sabalenka" at 25% for "2026 Women’s US Open Winner (Tennis)". Over the past 24 hours that probability moved down 2.5 points. Full distribution: Aryna Sabalenka 25%, Iga Swiatek 11%, Elena Rybakina 10%, Coco Gauff 9%. The market has traded $6.7M in total volume and resolves Sep 13, 2026. Aryna Sabalenka leads trader consensus at 25% implied probability as the two-time defending US Open champion seeking a third straight hard-court title, supported by her dominant recent results on the surface and No. 1 ranking. The field remains wide open, with Iga Swiatek, Elena Rybakina, Coco Gauff, and Mirra Andreeva each holding single-digit shares amid strong 2026 form, ranking consistency, and prior Grand Slam contention. Key differentiators include hard-court win rates, recent injury recoveries, and head-to-head trends on outdoor hard, where depth from players like Naomi Osaka and Jessica Pegula adds volatility to any potential upset path.
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