Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Best Prediction Markets UK) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | View on Polymarket → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | View on Polymarket → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | View on Polymarket → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | View on Polymarket → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | View on Polymarket → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Completed Match | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 Winner | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Total Sets: O/U 2.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 21.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 8.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 22.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 9.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 23.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 10.5 | 100% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 Winner | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 8.5 | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 9.5 | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 10.5 | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set Handicap +/-1.5 | 0% |
| National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set Handicap +/-1.5 | 0% |
Market context
Sofia Kenin is due to face Lucrezia Stefanini in National Bank Open qualifying, but the contract is pricing the outcome at **0% YES** despite the match being listed across live-score and tournament trackers for 1 August in Toronto.[5][13][15][18] That makes the prediction market notably more pessimistic on the Kenin side than the available sports data, which still shows a live match listing rather than a voided or abandoned fixture.[5][13][15]
The main historical frame here is that there is no head-to-head record between the pair, so traders are leaning on ranking, recent form and surface indicators rather than a direct matchup history.[2][6][17] Sofia Kenin is listed higher in the WTA standings on the tournament pages, at around world No. 116 versus Stefanini near No. 144, but the recent-form overlays are mixed: tennisstats.com shows Stefanini with the stronger last-12-month winning rate overall and on hard courts, while Kenin’s recent 2026 numbers are weaker.[2][5][17] Analyst-style preview pages are also split, with some offering no strong prediction and others tilting towards Stefanini, which helps explain why a zero-per-cent market can look detached from a modestly competitive pre-match picture.[4][11]
For traders, the key catalysts are the official start time, any court or schedule changes from the tournament, and whether the match actually gets under way before the settlement deadline.[13][19] If play is delayed, suspended or pushed beyond the seven-day window without a winner, the market rules point to a 50-50 resolution rather than a normal win/loss outcome.[18] Live match pages show the fixture as active, so the practical risk is less about a speculative walkover and more about late schedule movement, retirement, or other tournament-admin updates that can change contract settlement mechanics.[5][15][19]
Methodology
This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Best Prediction Markets UK, which mirrors the Polymarket order book directly.
Resolution & payout
Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.
Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.
FAQ
- 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 Best Prediction Markets 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.
- What's the difference between YES and NO shares?
- A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.
- How fast are USDC deposits?
- Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Best Prediction Markets UK trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
Trade National Bank Open, Qualification: Sofia Kenin vs Lu… on Best Prediction Markets UK
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