Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via BTC Prediction) Pick polygram.ink (preferred broker) |
28% | 72% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Open live market → |
Polymarket (direct) polymarket.com |
28% | 72% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Open live market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Open live market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Open live market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Open live market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Karolína Muchová | 28% |
| Coco Gauff | 27% |
| Marta Kostyuk | 25% |
| Linda Nosková | 21% |
| 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, running from 29 June to 12 July, will crown the player who wins the final match on Centre Court. With Aryna Sabalenka currently the +350 favourite and Elena Rybakina at +550, the market reflects a highly competitive draw where nine different champions have won the past nine editions, making any single outcome inherently volatile [1][6].
Historically, prediction markets on tennis Grand Slams have struggled when early exits occur; for instance, defending champion Iga Świątek lost in the third round to Alexandra Eala, a Filipina player who became the first from her nation to reach that stage in the Open Era [3]. This precedent explains the current 0% crowd-implied probability for any listed player, as on-chain mechanics often penalise positions before the event concludes, especially when USDC settlement ties to BTC/ETH macro volatility can trigger rapid whale flows that erase spot funding rates [1].
Traders should monitor daily draw updates and injury announcements from the WTA, as any player becoming ineligible per tournament rules will resolve the market to “No” [5]. The settlement window ends 12 July 2026, and if the tournament is cancelled or postponed beyond 31 August, the outcome shifts to “Other” [1]. Recent coverage highlights the unpredictability of the women’s draw, with top contenders like Coco Gauff and Naomi Osaka still holding long odds, underscoring the need for real-time data on whale activity and exchange spot levels before committing capital [1][7].
Methodology
Methodologically this overview focuses on on-chain pricing: Polymarket's live mid comes from the Polygon conditional-token order book and settles automatically in USDC. The other three venues — Kalshi, Betfair, Manifold — sit alongside as off-chain reference points so you can see how the contract translates across regulatory and settlement regimes.
Resolution & payout
Settlement is on-chain via UMA Optimistic Oracle. A proposer posts the outcome with a bond, a two-hour dispute window opens, then the smart contract lifts winning conditional tokens to 1 USDC and sends payments to holders' wallets automatically. No withdrawal fees beyond Polygon gas.
Off-chain venues (Kalshi, Betfair, Smarkets) settle in local fiat through bank-side clearing — faster than SWIFT, slower than on-chain. Manifold pays no real cash.
FAQ
- What are crypto prediction markets?
- Crypto prediction markets are on-chain smart contracts where you buy YES or NO shares on a future crypto event (e.g. "BTC above $100k by year-end"). The market price between 0¢ and 100¢ is the implied probability.
- What does a transaction cost on Polygon?
- Polygon gas is typically under $0.01 per transaction. A full trade cycle (Approve + Order + Fill) totals around $0.03 — compared to $5-50 on Ethereum mainnet.
- Can I use Bitcoin directly?
- No, Polymarket operates exclusively in USDC on Polygon. You can bridge BTC to USDC via an exchange or bridge service and deposit on Polygon — typically 10-30 minutes processing time.
- Which crypto markets exist on Polymarket?
- Currently active markets include BTC/ETH/SOL price targets, halving dates, ETF approvals, hard-fork outcomes and Layer-2 TVL thresholds. The list updates weekly; biggest volume sits on BTC and ETH price forecasts.
- Are crypto prediction markets taxable in the US?
- In the US, prediction market gains are typically treated as ordinary income or short-term capital gains depending on holding period. Consult a tax professional for your specific situation — we cannot provide tax advice.
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