Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi vs Polymarket) Pick polygram.ink (preferred broker) |
23% | 77% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | View on Polymarket → |
Polymarket (direct) polymarket.com |
23% | 77% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | View on Polymarket → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | View on Polymarket → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | View on Polymarket → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | View on Polymarket → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Aryna Sabalenka | 23% |
| Iga Swiatek | 19% |
| Elena Rybakina | 11% |
| Mirra Andreeva | 7% |
| Coco Gauff | 5% |
| Naomi Osaka | 4% |
| Amanda Anisimova | 3% |
| Jessica Pegula | 3% |
| Victoria Mboko | 3% |
| Elina Svitolina | 3% |
| Karolina Muchova | 2% |
| Alexandra Eala | 2% |
| Qinwen Zheng | 1% |
| Madison Keys | 1% |
| Barbora Krejcikova | 1% |
| Emma Navarro | 1% |
| Clara Tauson | 1% |
| Belinda Bencic | 1% |
| Emma Raducanu | 1% |
| Linda Noskova | 1% |
| Jasmine Paolini | 1% |
| Diana Shnaider | 1% |
| Anastasia Potapova | 1% |
| Marketa Vondrousova | 0% |
| Paula Badosa | 0% |
| Maya Joint | 0% |
| Ekaterina Alexandrova | 0% |
| Jelena Ostapenko | 0% |
| Daria Kasatkina | 0% |
| Tereza Valentova | 0% |
| Donna Vekic | 0% |
| Dayana Yastremska | 0% |
| Liudmila Samsonova | 0% |
| Xiyu Wang | 0% |
| Ashlyn Krueger | 0% |
| Marie Bouzkova | 0% |
| Beatriz Haddad Maia | 0% |
| Elise Mertens | 0% |
| Sofia Kenin | 0% |
| Katie Boulter | 0% |
| Other | 0% |
| Player A | 0% |
| Player B | 0% |
| Player C | 0% |
| Player D | 0% |
| Player E | 0% |
| Player F | 0% |
| Player G | 0% |
| Player H | 0% |
| Player I | 0% |
| Player J | 0% |
| Player K | 0% |
| Player L | 0% |
| Player M | 0% |
| Player N | 0% |
| Player O | 0% |
| Player P | 0% |
| Player Q | 0% |
| Player R | 0% |
| Player S | 0% |
| Player T | 0% |
| Player U | 0% |
| Player V | 0% |
| Player W | 0% |
| Player X | 0% |
| Player Y | 0% |
| Player Z | 0% |
Market context
The 2026 U.S. Open Women’s Singles tournament will take place from 23 August to 13 September 2026 at the USTA Billie Jean King National Tennis Centre in New York, with the winner receiving $5 million. A prediction market currently implies a 23% chance that a listed player wins, while major sportsbooks like Vegas Insider and BetUS favour Aryna Sabalenka at +200 to +150, translating to roughly 33–40% implied probability. This divergence suggests the prediction market is pricing in higher uncertainty than traditional bookmakers, possibly due to concerns over player fitness or unlisted entrants.
Historically, US Open women’s titles have swung between top-ranked players and underdogs; Sabalenka’s recent Grand Slam disappointments mirror Swiatek’s 2022 slump before her 2023 resurgence, showing how volatile form can reshape odds. Traders should monitor Sabalenka’s WTA schedule ahead of the tournament, any injury updates from the Australian Open or Wimbledon, and Swiatek’s hard-court performance in the lead-up events. Recent reports from Tennis.com note Sabalenka’s ongoing shoulder management, a key dependency that could alter her championship trajectory if complications arise before August.
The prediction market’s lower implied probability compared to sportsbook lines may reflect a more cautious stance on Sabalenka’s consistency, whereas bookmakers lean on her past dominance. Analyst consensus remains split, with some favouring Swiatek’s tactical adaptability on hard courts and others backing Gauff’s home-crowd advantage. With the settlement window ending 13 September 2026, any cancellation or postponement beyond 31 October would resolve the market as “Other”, adding a structural risk that both markets must account for.
Methodology
This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Kalshi vs Polymarket, which mirrors the Polymarket order book directly.
Resolution & payout
Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.
Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.
FAQ
- Where can I trade this market with the lowest fees?
- Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Kalshi vs Polymarket. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- What's the difference between YES and NO shares?
- A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
- What does Polymarket cost to trade?
- Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Kalshi vs Polymarket trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
- How reliable are the quoted odds?
- The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
Trade 2026 Women’s US Open Winner (Tennis) on Kalshi vs Polymarket
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