Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Fees) Pick polygram.ink (preferred broker) |
23% | 77% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Place a position → |
Polymarket (direct) polymarket.com |
23% | 77% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Place a position → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Place a position → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Place a position → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Place a position → |
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 New York’s hard courts from 23 August to 13 September 2026, with the winner declared on the final day. A current crowd-implied probability of 23% for a specific listed player to win suggests a market that is still weighing top contenders against the volatility inherent in Grand Slam events. Historically, hard-court specialists like Aryna Sabalenka have dominated this venue, yet past upsets by players such as Coco Gauff and Iga Swiatek demonstrate that early-season odds often shift dramatically as fitness and form evolve. Programmatic traders should treat this 23% figure as a conditional probability that requires continuous re-evaluation against real-time performance data, rather than a static forecast.
Key catalysts for this market include the WTA’s summer tour schedule, particularly the outcomes at the Canadian Open and Cincinnati Masters, which serve as critical hard-court benchmarks before the U.S. Open. Traders monitoring this event programmatically must watch for injury announcements and withdrawal lists, as these dependencies can instantly invalidate a player’s win probability. Recent odds from BetUS confirm Aryna Sabalenka remains the outright favourite at +150, with Swiatek and Gauff as close challengers, highlighting the competitive density that makes a single-player win less certain [2]. Any delay in the tournament calendar or a late-stage withdrawal by a top contender would force a resolution to “No”, making schedule adherence a primary dependency for market settlement.
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 Fees, which mirrors the Polymarket order book directly.
Resolution & payout
At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.
On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.
FAQ
- Is this market available outside the US?
- Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.
- 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 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.
- 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.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Kalshi Fees trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
Trade 2026 Women’s US Open Winner (Tennis) on Kalshi Fees
Live order book, 0% fees, USDC settlement in seconds.
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