Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Oscar Predictions 2026) Pick polygram.ink (preferred broker) |
23% | 77% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
23% | 77% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Trade this market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Trade this market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Trade this market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Trade this 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 August 23 to September 13 in New York, with the winner claiming a $5 million prize. Current market sentiment assigns a 23% probability to the listed player winning, a figure that demands scrutiny against established betting favourites. Aryna Sabalenka remains the dominant betting favourite across major sportsbooks, holding odds of +150 to +210, while Iga Swiatek and Coco Gauff trail as her closest challengers at +400 and +550 respectively[1][2]. This historical pricing structure mirrors how Grand Slam outrights are typically framed: the top-ranked player on hard courts carries the bulk of the implied probability, yet the 23% market share suggests a significant divergence from traditional favourites, potentially indicating a specific narrative or roster constraint that traders must decode before the tournament begins[3][5].
Traders should monitor the official WTA schedule releases and any injury announcements leading into the August start date, as player availability directly dictates market resolution. Recent form on hard courts is the primary catalyst; Sabalenka’s dominance in this surface category is well-documented, yet any sudden dip in performance or withdrawal would instantly shift the probability landscape[1]. The market’s dependency on the tournament proceeding without cancellation or postponement past October 31, 2026, adds a layer of structural risk that must be weighed against player-specific odds[4]. With the winner’s purse set at $5 million, the financial incentive ensures high participation, but the crowd-implied probability of 23% remains unusually low for the tournament’s top contender, suggesting the market is pricing in a specific, perhaps unlisted, variable that could alter the outcome[8].
Methodology
Entertainment-specific comparison page for 2026 Women’s US Open Winner (Tennis). Polymarket's live quote (Polygon order book) shows the award probability. For awards markets, Polymarket usually has the deepest liquidity; Betfair runs comparable markets for Oscars/Emmys; Manifold for Eurovision.
Resolution & payout
Entertainment markets settle on official award ceremony or show end. Polymarket uses UMA Optimistic Oracle with a source URL to the official award website. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- When do award markets resolve?
- After the official announcement — e.g. Oscars ceremony end for Academy Awards markets, Eurovision final end for ESC markets. UMA Optimistic Oracle typically uses the official award website as the resolution source.
- How accurate are award predictions?
- Variable. Industry-predictable awards (Oscar Best Picture) have high market accuracy (Brier ~0.15). Reality-TV outcomes with small markets carry more noise. Eurovision is notorious for market upsets due to bloc voting.
- What was the top Oscar 2025 market?
- Best Picture, with ~$2.8M volume on Polymarket. "Anora" started as an underdog at ~8% and closed at ~62% before the ceremony — the biggest single Oscar market swing since 2019.
- Who can trade Eurovision markets?
- Polymarket is globally accessible but geo-blocked in select jurisdictions — traders there use broker frontends with a different geo footprint to reach the order book. Eurovision markets have strong European liquidity; German/Austrian/Swiss flow often drives consensus.
- How are reality-TV outcomes verified?
- UMA Oracle uses the official show website or producer statement as the resolution source. Very narrowly defined markets (e.g. "Will X be voted off the island?") rely on the official show notes.
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