Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Prediction Market UK) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 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 |
|---|---|
| Completed Match | 100% |
| National Bank Open: Ann Li vs Elena Rybakina Set 2 O/U 8.5 | 100% |
| National Bank Open: Ann Li vs Elena Rybakina Set Handicap +/-1.5 | 100% |
| National Bank Open: Ann Li vs Elena Rybakina Set 2 O/U 9.5 | 100% |
| National Bank Open: Ann Li vs Elena Rybakina Set 2 O/U 10.5 | 100% |
| National Bank Open: Ann Li vs Elena Rybakina | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set 1 Winner | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Total Sets: O/U 2.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set 1 O/U 8.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set 2 Winner | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Match O/U 21.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set Handicap +/-1.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set 1 O/U 9.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Match O/U 22.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Set 1 O/U 10.5 | 0% |
| National Bank Open: Ann Li vs Elena Rybakina Match O/U 23.5 | 0% |
Market context
Ann Li is scheduled to play Elena Rybakina in the National Bank Open, and a prediction-market **YES** share here means Ann Li advances, while **NO** means Rybakina advances. The market is not simply about who looks stronger on paper; it settles on the actual match outcome, with walkovers, retirements, cancellations, or a match that is not completed within the rule window handled separately under the market’s settlement terms. [4]
The pricing backdrop is heavily one-sided because independent previews and bookmaker-style odds have consistently marked Rybakina as the clear favourite. Tennis Tonic’s pre-match preview picked Rybakina in straight sets and listed her at about 1.19 against Li at 4.65, while other odds feeds show similar ranges, with Rybakina around 1.14–1.16 and Li around 5.0–5.7. [1][2][5][14][16] That makes the current crowd-implied 0% YES reading easy to understand: it reflects a market expectation that Li wins only in a relatively narrow upset path, not that it is mathematically impossible. [9][11]
For traders, the main catalysts are straightforward: whether the match actually starts on schedule, whether either player withdraws, and whether the result is completed in normal play rather than a retirement or walkover. The market description also matters because if the match is not played at all, ends tied, or drifts beyond seven days without a winner, settlement changes away from a straight win/loss outcome. [4] Tournament order of play and any late injury or scheduling notices are therefore the most relevant updates to watch, especially in an event where the favourite’s implied win probability is already very high and most movement comes from availability rather than form. [1][9][10]
Methodology
Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.
Resolution & payout
Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.
Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.
UK Frequently Asked Questions
- Where can I trade this market with the lowest fees?
- Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Prediction Market UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- Is this market available outside the US?
- Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.
- Is Polymarket legal in the UK?
- Polymarket is accessible to UK traders but is not UKGC-licensed. It operates under US CFTC jurisdiction. UK residents face no domestic legal prohibition on using it, but UKGC consumer protections do not apply. For UKGC-regulated alternatives, Betfair Exchange and Smarkets offer similar prediction-style markets.
- Do I pay tax on prediction market profits in the UK?
- UKGC-licensed platform profits (Betfair, Smarkets) are typically tax-free gambling winnings for UK individuals. Polymarket profits involve USDC crypto transactions, which HMRC treats as Capital Gains Tax events. Keep full transaction records and report via Self Assessment if gains exceed £3,000 per tax year.
- How do I deposit on Polymarket from the UK?
- UK traders typically fund Polymarket via Coinbase UK, Kraken or Revolut — buying USDC with GBP and transferring to a Polygon-compatible wallet (MetaMask, Coinbase Wallet). Polymarket's onboarding walks you through the bridging process. Typical GBP-to-USDC conversion costs 0.5–1%.
Trade National Bank Open: Ann Li vs Elena Rybakina on Prediction Market UK
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