Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via March Madness Predictions) Pick polygram.ink (preferred broker) |
24% | 76% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
24% | 76% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | See live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | See live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | See live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | See live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Aryna Sabalenka | 24% |
| Iga Swiatek | 15% |
| Coco Gauff | 9% |
| Elena Rybakina | 9% |
| Mirra Andreeva | 7% |
| Naomi Osaka | 7% |
| Amanda Anisimova | 4% |
| Jessica Pegula | 4% |
| Alexandra Eala | 4% |
| Linda Noskova | 3% |
| Karolina Muchova | 2% |
| Elina Svitolina | 2% |
| Qinwen Zheng | 1% |
| Madison Keys | 1% |
| Barbora Krejcikova | 1% |
| Emma Navarro | 1% |
| Belinda Bencic | 1% |
| Diana Shnaider | 1% |
| Liudmila Samsonova | 1% |
| Elise Mertens | 1% |
| Marketa Vondrousova | 0% |
| Victoria Mboko | 0% |
| Clara Tauson | 0% |
| Emma Raducanu | 0% |
| Jasmine Paolini | 0% |
| Paula Badosa | 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% |
| Xiyu Wang | 0% |
| Ashlyn Krueger | 0% |
| Marie Bouzkova | 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 is priced as a competitive but still fairly top-heavy market, with the crowd-implied 30% figure sitting close to the leading bookmaker view on Aryna Sabalenka. Current outights have Sabalenka around the low-30s in implied probability, with Iga Swiatek and Coco Gauff next in line and a second tier that includes Elena Rybakina and Mirra Andreeva.[1][2][12]
That profile is broadly consistent with recent women’s Slam pricing: the market often concentrates around one or two proven hard-court players, but New York has also produced volatile draws and late-stage upsets. Sabalenka’s status as a two-time defending champion is why she anchors the board, yet a 30% price still implies meaningful uncertainty; in practical terms, the market is saying she is the likeliest single winner, not a near-lock.[10][12] Comparable cases in recent US Open cycles show that home-court pressure, draw quality, and form over the North American hard-court swing can move pricing quickly once the event starts.[8][11]
For traders, the key catalysts are the run-up tournaments, any injury or withdrawal news, and the official draw, which will shape whether the top names avoid each other until the latter rounds. Recent previews still place Sabalenka first, with Swiatek, Gauff and Rybakina as the main challengers, while Osaka, Anisimova and Andreeva are the type of players whose prices can shorten sharply if they string together a strong summer.[1][7][8] Watch for any coaching or fitness updates, because women’s outright markets at Flushing Meadows often reprice fast when a seed’s hard-court preparation changes or a contender misses key warm-up events.[4][11]
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.
- Which sports markets are available?
- Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
- Can I import form data and lineups?
- This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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