Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Alternative UK) Pick polygram.ink (preferred broker) |
72% | 28% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
72% | 28% | 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 |
|---|---|
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 1 O/U 8.5 | 72% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 2 O/U 8.5 | 57% |
| National Bank Open: Iga Swiatek vs Elena Rybakina | 56% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 1 Winner | 55% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 2 Winner | 55% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Match O/U 21.5 | 55% |
| Completed Match | 50% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 1 O/U 9.5 | 49% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Match O/U 22.5 | 49% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 2 O/U 9.5 | 49% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Match O/U 23.5 | 44% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 2 O/U 10.5 | 43% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Total Sets: O/U 2.5 | 42% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set Handicap +/-1.5 | 35% |
| National Bank Open: Iga Swiatek vs Elena Rybakina Set 1 O/U 10.5 | 26% |
Market context
The National Bank Open in Washington DC will host a first-round encounter between Poland's Iga Swiatek and Kazakhstan's Elena Rybakina on 13 August 2026. Swiatek, currently ranked in the top five, brings a clay-court specialist's pedigree to a hard-court event, whilst Rybakina—a former US Open finalist—competes on her preferred surface. The 56% implied probability favouring Swiatek reflects her superior ranking and recent form, though the hard court introduces tactical uncertainty absent from her dominant clay performances.
Head-to-head records between these players show competitive balance across different surfaces. Swiatek holds a marginal advantage in overall meetings, but Rybakina's hard-court record against top-ten opponents remains strong. The Washington tournament has historically favoured players with aggressive baseline games; Rybakina's serve-and-forehand combination aligns more naturally with these conditions than Swiatek's rhythm-dependent style. Comparable first-round matchups at this event between similarly ranked players typically settle within 45–55% probability bands, suggesting current odds reflect genuine uncertainty rather than consensus.
Traders should monitor injury reports through the settlement window, particularly given both players' recent tournament schedules. Swiatek's performance at preceding events will signal her hard-court preparation level. Across platforms, Polymarket and Kalshi express this probability identically (56% YES), whilst Betfair and Smarkets may show fractional variance due to differing liquidity pools and fee structures. The 50-50 tiebreak clause—triggered if the match is delayed beyond seven days—creates a technical floor for either player's odds, distinguishing this market from standard tennis betting where walkovers or retirements typically settle directionally.
Methodology
We read National Bank Open: Iga Swiatek vs Elena Rybakina from four platform perspectives: Polymarket (on-chain CLOB), Kalshi (CFTC-regulated exchange), Betfair Exchange (sports book exchange), Smarkets (peer-to-peer betting exchange). Polymarket's live mid is the canonical probability; the side-by-side columns benchmark fees, KYC, settlement currency and deposit rails so you can choose the venue that fits your jurisdiction and trade size.
Resolution & payout
Polymarket settles via UMA Optimistic Oracle on Polygon. A proposer posts the outcome with a bond, the two-hour window runs, then the smart contract pays USDC.
Kalshi settles USD through the CFTC-regulated clearinghouse — the cleanest variant, with heavier KYC. Betfair Exchange settles in account currency (GBP/EUR), net of 2-5% commission. Smarkets follows the same model as Betfair with a lower default 2% commission.
UK Frequently Asked Questions
- Polymarket vs Kalshi — which is better?
- Depends on your location. Kalshi is CFTC-regulated, US-only with full KYC. Polymarket is global, on-chain, no KYC up to $1,500. Polymarket has ~10x higher liquidity but higher regulatory risk.
- What does Polymarket cost vs Kalshi?
- Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
- Which platform has the deepest liquidity?
- Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
- Polymarket vs Betfair Exchange: which is better for UK prediction trading?
- Betfair Exchange offers UKGC regulation, GBP settlement, and potentially tax-free winnings — but focuses on sports and politics only. Polymarket has deeper liquidity, 0% platform fee, global event coverage, and crypto/geopolitical markets Betfair doesn't offer. For UK traders: Betfair for regulated GBP sports markets; Polymarket for broader, global prediction events.
- Is Kalshi available in the UK?
- Kalshi is a US CFTC-regulated prediction exchange. UK residents can create accounts but must use USD and US payment methods. Kalshi's product range overlaps with Polymarket but with lower liquidity on most contracts. For UK traders, Polymarket typically offers better prices due to higher global volume.
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