Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
30% | 70% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
30% | 70% | 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 |
|---|---|
| Karolína Muchová | 30% |
| Coco Gauff | 26% |
| Marta Kostyuk | 24% |
| Linda Nosková | 22% |
| Iga Świątek | 0% |
| Aryna Sabalenka | 0% |
| Elena Rybakina | 0% |
| Amanda Anisimova | 0% |
| Emma Raducanu | 0% |
| Mirra Andreeva | 0% |
| Madison Keys | 0% |
| Jasmine Paolini | 0% |
| Markéta Vondroušová | 0% |
| Qinwen Zheng | 0% |
| Belinda Bencic | 0% |
| Liudmila Samsonova | 0% |
| Elina Svitolina | 0% |
| Jessica Pegula | 0% |
| Victoria Mboko | 0% |
| Emma Navarro | 0% |
| Naomi Osaka | 0% |
| Barbora Krejčíková | 0% |
| Ons Jabeur | 0% |
| Ekaterina Alexandrova | 0% |
| Paula Badosa | 0% |
| Tatjana Maria | 0% |
| Maya Joint | 0% |
| Clara Tauson | 0% |
| Olga Danilović | 0% |
| McCartney Kessler | 0% |
| Solana Sierra | 0% |
| Ashlyn Krueger | 0% |
| Sonay Kartal | 0% |
| Dayana Yastremska | 0% |
| Leylah Fernandez | 0% |
| Beatriz Haddad Maia | 0% |
| Laura Siegemund | 0% |
| Elise Mertens | 0% |
| Donna Vekić | 0% |
| Xinyu Wang | 0% |
| Anastasia Pavlyuchenkova | 0% |
| Yulia Putintseva | 0% |
| Jelena Ostapenko | 0% |
| Maria Sakkari | 0% |
| Marie Bouzková | 0% |
| Anna Kalinskaya | 0% |
| Diana Shnaider | 0% |
| Other | 0% |
| Maja Chwalinska | 0% |
| Serena Williams | 0% |
| Iva Jovic | 0% |
| Alexandra Eala | 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 Wimbledon Women’s Singles tournament is underway, with the final scheduled for 12 July 2026. Aryna Sabalenka, the defending champion from 2025, entered as the +350 favourite but lost in the third round to Alexandra Eala, while former world No. 1 Serena Williams made a surprise return as a 55-1 longshot[1][2]. This collapse of the top seed mirrors the volatility seen in recent editions, where nine different champions have won the past nine tournaments, making early exits a recurring catalyst for market shifts[9].
Traders should monitor the progression of the remaining draw, particularly the performances of Elena Rybakina (+550), Iga Świątek (+1000), and Jessica Pegula (+1000), as their results will directly determine the winner[2]. The market is leaning on the unpredictability of the women’s draw, where no player has dominated consistently since 2017, and any further high-profile losses could render listed players unable to win, triggering a “No” resolution[1]. The official WTA draw and live bracket updates from ESPN will serve as the primary resolution source for tracking these dependencies[6][7].
Methodology
Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for 2026 Women's Wimbledon Winner plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.
Resolution & payout
For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.
FAQ
- How accurate are political prediction markets?
- Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
- What resolution source is used for elections?
- Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
- Can prediction markets influence election outcomes?
- Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
- How fast do political markets react to news?
- High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
- Why do Polymarket and Kalshi differ on elections?
- Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
Trade 2026 Women's Wimbledon Winner on Trump Prediction
Live order book, 0% fees, USDC settlement in seconds.
Open live market →