National Bank Open: Alina Korneeva vs Coco Gauff

Platform comparison

Market context

Coco Gauff’s meeting with Alina Korneeva at the National Bank Open is live, but the prediction market is still pricing Korneeva at **0% YES**, a clear mismatch with the on-court situation and with other venues that are treating Gauff as the strong favourite. Tennis data feeds list the match in Toronto, and pre-match ratings also pointed one way: String Tension’s Elo model showed Gauff around **87.2%** to win, while TennisTemple’s model was even more one-sided at **97.3%**.[6][12] Gauff also began the match with a far higher singles ranking, at No. 4 versus Korneeva’s No. 89, which is the sort of gap usually reflected in both sportsbook pricing and analyst consensus.[2]

The historical framing matters because this is not a rivalry with a head-to-head record to smooth out the noise: the players had **no previous tour-level meetings**, so traders are leaning mainly on ranking, recent form and surface strength rather than matchup history.[4][6] Gauff’s 2026 hard-court record has been materially stronger in the available season samples, while Korneeva’s profile is much thinner at top level, which helps explain why most outside models would normally sit well above a coin flip and far above zero.[4][6] In that sense, a 0% market price is less a statement about tennis fundamentals than a sign that the contract may be reflecting execution risk, stale pricing or an extreme dislocation versus live-match data.

The main catalysts now are straightforward: whether the match is formally completed, whether either player advances, and whether the result is confirmed before the settlement deadline. The tournament’s own results page is currently blank for stats, which suggests the market is still dependent on official match progression rather than a completed scoreline.[7] If the contest is interrupted, abandoned or not finished within the contract’s seven-day window, the rule set points to a 50-50 resolution, so traders will be watching official draw updates and any rescheduling notices as closely as the scoreboard.

Sources: 1 · 2 · 3 · 4 · 5

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

At resolution the UMA oracle takes over: a proposer posts the outcome with a bond, any token holder can dispute within two hours. Without dispute the result is accepted and the smart contract distributes USDC instantly.

On Kalshi (CFTC-regulated) resolution runs through their in-house clearing engine in USD. Betfair Exchange settles after match end in the account's local currency. Manifold pays no cash — only its in-platform "mana" currency.

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. 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.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

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.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.