Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Robinhood Prediction Markets) Pick polygram.ink (preferred broker) |
23% | 77% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Go to the live market → |
Polymarket (direct) polymarket.com |
23% | 77% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Go to the live market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Go to the live market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Go to the live market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Go to the live market → |
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, with the winner receiving $5 million. Aryna Sabalenka is the current betting favourite across major books, with Iga Swiatek and Coco Gauff as her closest challengers[1][2]. The market’s current crowd-implied probability of 23% for a listed player to win reflects a competitive field where no single name dominates outright odds, a pattern seen in recent years when Swiatek’s form fluctuated or when Gauff’s hard-court consistency improved[5].
Historically, US Open women’s titles have been won by players ranked between 1 and 5, with Sabalenka’s 2023 and 2024 victories reinforcing her status as a top hard-court contender[1]. Traders should monitor pre-tournament draw announcements, player fitness updates, and any schedule changes affecting top contenders like Swiatek, who has faced injury concerns in recent months[2]. Recent reports from William Hill note that hard-court specialists such as Sinner (men’s) and Sabalenka (women’s) remain favourites, but form volatility remains a key risk[6].
Polymarket, Kalshi, Betfair, and Smarkets diverge notably on this market: Polymarket uses implied probability (23% YES), while Kalshi and Betfair quote decimal odds (e.g., +200 for Sabalenka)[1][2]. Fee structures also vary—Polymarket charges no maker fees, whereas Betfair applies a commission on winnings. KYC requirements are stricter on Kalshi and Betfair, limiting access for some traders. These differences affect liquidity and pricing efficiency, making cross-platform comparison essential for accurate positioning.
Methodology
We read 2026 Women’s US Open Winner (Tennis) from four platform perspectives: Polymarket (on-chain CLOB), Kalshi (CFTC-regulated exchange), Betfair Exchange (sports book exchange), Smarkets (peer-to-peer betting exchange). Polymarket's live mid is the canonical probability; the side-by-side columns benchmark fees, KYC, settlement currency and deposit rails so you can choose the venue that fits your jurisdiction and trade size.
Resolution & payout
Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.
FAQ
- What does Polymarket cost vs Kalshi?
- Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
- Which platform has the deepest liquidity?
- Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
- Is Betfair a Polymarket alternative?
- Only partially. Betfair Exchange is UK-focused with a sports-betting emphasis; they have politics markets but with thinner liquidity than Polymarket. Settlement in GBP/EUR, 2-5% commission on winnings.
- What about Smarkets as an alternative?
- Smarkets is a UK betting exchange with a lower default commission (2%) than Betfair. Liquidity on political markets is below Polymarket, comparable to Kalshi. Geo-blocked in many jurisdictions.
- Are all these platforms regulated?
- No. Kalshi is CFTC-regulated (US). Betfair and Smarkets are UK Gambling Commission licensed. Polymarket operates without explicit regulation — a different risk profile than a regulated sportsbook.
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