Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Sport Prediction) Pick polygram.ink (preferred broker) |
25% | 75% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
25% | 75% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Aryna Sabalenka | 25% |
| Iga Swiatek | 10% |
| Elena Rybakina | 9% |
| Coco Gauff | 8% |
| Mirra Andreeva | 6% |
| Naomi Osaka | 6% |
| Amanda Anisimova | 4% |
| Jessica Pegula | 4% |
| Linda Noskova | 4% |
| Karolina Muchova | 3% |
| Madison Keys | 2% |
| Elina Svitolina | 2% |
| Alexandra Eala | 2% |
| Qinwen Zheng | 1% |
| Barbora Krejcikova | 1% |
| Victoria Mboko | 1% |
| Emma Navarro | 1% |
| Belinda Bencic | 1% |
| Jasmine Paolini | 1% |
| Paula Badosa | 1% |
| Diana Shnaider | 1% |
| Marie Bouzkova | 1% |
| Elise Mertens | 1% |
| Marketa Vondrousova | 0% |
| Clara Tauson | 0% |
| Emma Raducanu | 0% |
| Maya Joint | 0% |
| Ekaterina Alexandrova | 0% |
| Jelena Ostapenko | 0% |
| Daria Kasatkina | 0% |
| Tereza Valentova | 0% |
| Anastasia Potapova | 0% |
| Donna Vekic | 0% |
| Dayana Yastremska | 0% |
| Liudmila Samsonova | 0% |
| Xiyu Wang | 0% |
| Ashlyn Krueger | 0% |
| Beatriz Haddad Maia | 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 title race centres on Aryna Sabalenka, who is installed as the +200 favourite to secure a third consecutive crown at Flushing Meadows. Current betting lines from major books confirm her dominance, with the Belarusian holding a 33.33% implied probability compared to Iga Swiatek’s 10% [2][3]. This market’s 24% YES probability for the leading outcome aligns closely with the broader sportsbook consensus, suggesting traders are pricing in Sabalenka’s sustained form rather than an outlier upset.
Historically, winning three straight U.S. Open titles in the women’s draw is a rare feat, with only Serena Williams and Chris Evert achieving such consistency in the modern era. The current probability reflects a market that views Sabalenka’s 2024 and 2025 victories as a foundation for continued dominance, rather than a fleeting peak. Comparable cases show that when a player holds a clear favourite status two months before the tournament, the implied win rate typically stabilises between 30% and 35%, making the current 24% a slight discount that may signal caution regarding potential fatigue or injury risks.
Traders should monitor Sabalenka’s summer hard-court schedule, particularly her performances at the Canadian Open and Cincinnati, as these events often dictate fitness levels for the U.S. Open. Any withdrawal or coaching change announced in the coming weeks could drastically shift the probability landscape, as beat reporters note that top players frequently adjust their training regimes based on mid-season results [2]. Key absences in the top ten, such as Swiatek’s potential withdrawal due to scheduling conflicts, would further consolidate Sabalenka’s path to the title.
Methodology
Sports-specific comparison page for 2026 Women’s US Open Winner (Tennis). Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi or Manifold.
Resolution & payout
Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- Are prediction markets better than sports betting?
- Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
- When do sports markets resolve?
- Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.
- Can I bet on individual matches?
- Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
- How fast do sports winnings settle?
- Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
- What's the difference between match odds and outright odds?
- Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
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