Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via PolyGram) 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 on hard courts in New York from 23 August to 13 September 2026, with the winner declared on the final day. A prediction market on this event currently implies a 23% chance that a specific listed player will win, a figure that diverges notably from major sportsbook lines. Vegas Insider and BetUS both list Aryna Sabalenka as the outright favourite at +200 and +150 respectively, translating to implied probabilities of roughly 33% and 40%, while Iga Swiatek sits at +500 to +400 (17% to 20%). This gap suggests the prediction market may be pricing in recent Grand Slam disappointments for Sabalenka more heavily than traditional bookmakers, who still favour her hard-court pedigree.
Historically, US Open women’s titles have often been won by players who were not the pre-tournament favourite, with past winners like Naomi Osaka and Bianca Andreescu arriving as outsiders. The current 23% implied probability aligns more closely with the odds for Swiatek or Coco Gauff (+500 to +700) than with Sabalenka’s stronger bookmaker lines, framing this contract as a potential value play if the market overcorrects for recent form. Traders should monitor the WTA’s official schedule for the 2026 Canadian Open and Cincinnati Masters, as performance on these hard-court events directly influences US Open readiness. Recent coverage from Vegas Insider confirms Sabalenka remains the betting favourite despite three consecutive Grand Slam losses, highlighting the tension between historical form and current momentum that defines this market’s pricing divergence.
Methodology
Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.
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 PolyGram. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- How does resolution work?
- Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.
- 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.
- How fast are USDC deposits?
- Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
- 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 PolyGram
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