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National Bank Open: Alina Korneeva vs Coco Gauff

Cross-platform snapshot for "National Bank Open: Alina Korneeva vs Coco Gauff": deepest order book, lowest fee, geo-coverage at a glance.

Completed Match 100% National Bank Open: Alina Korneeva vs Coco Gauff Set 1 O/U 8.5 100% National Bank Open: Alina Korneeva vs Coco Gauff Set Handicap +/-1.5 100% National Bank Open: Alina Korneeva vs Coco Gauff 0% Volume: $1.5M Liquidity: $430K Closes: 16 Aug 2026
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National Bank Open: Alina Korneeva vs Coco Gauff

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Robinhood Prediction Markets) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Go to the live market →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain Go to the live market →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Go to the live market →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Go to the live market →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Go to the live market →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Completed Match100%
National Bank Open: Alina Korneeva vs Coco Gauff Set 1 O/U 8.5100%
National Bank Open: Alina Korneeva vs Coco Gauff Set Handicap +/-1.5100%
National Bank Open: Alina Korneeva vs Coco Gauff0%
National Bank Open: Alina Korneeva vs Coco Gauff Set 2 Winner0%
National Bank Open: Alina Korneeva vs Coco Gauff Set 1 Winner0%
National Bank Open: Alina Korneeva vs Coco Gauff Total Sets: O/U 2.50%
National Bank Open: Alina Korneeva vs Coco Gauff Set 2 O/U 8.50%
National Bank Open: Alina Korneeva vs Coco Gauff Match O/U 21.50%
National Bank Open: Alina Korneeva vs Coco Gauff Set 1 O/U 9.50%
National Bank Open: Alina Korneeva vs Coco Gauff Set 2 O/U 9.50%
National Bank Open: Alina Korneeva vs Coco Gauff Match O/U 22.50%
National Bank Open: Alina Korneeva vs Coco Gauff Set 1 O/U 10.50%
National Bank Open: Alina Korneeva vs Coco Gauff Match O/U 23.50%
National Bank Open: Alina Korneeva vs Coco Gauff Set 2 O/U 10.50%

Market context

Alina Korneeva and Coco Gauff are scheduled to meet at the National Bank Open in Toronto on outdoor hard courts, with the match listed on Centre Court and the tournament site marking it as upcoming.[7][10] The market’s crowd-implied **1%** YES price is far below the match-level expectations shown on tennis data and preview pages, which generally rate Gauff as a clear favourite and place Korneeva as a sizeable outsider.[2][4][13]

That gap is easiest to read through a platform-comparison lens: Polymarket here is quoting a raw event probability, while Betfair-style and Smarkets-style books usually present the same view as decimal odds or a back/lay price that embeds commission, so a trader has to strip out fees before comparing value.[8] The matchup is also a useful reminder that hard-court form and draw context matter more than head-to-head history in this case, because the pair have no prior meetings and Korneeva’s rise through qualifying has contrasted with Gauff’s established tour record.[3][4] On comparable women’s matches in Toronto, markets have tended to move sharply once the order of play is confirmed and live status is clear, especially when a favourite is already priced very short.[2][4]

Catalysts to watch are basic but important: official start-time changes, any medical timeout or retirement risk, and whether the match is moved off the original Centre Court slot, because settlement depends on whether the contest is actually played and completed within the market window.[7][10] For traders comparing venues, Kalshi’s access is constrained by jurisdiction, whereas Polymarket and exchange-style books such as Betfair and Smarkets differ mainly in fee treatment and account verification, which can affect whether a displayed edge is real after costs. Recent tournament reports also show Gauff advancing through earlier rounds at Toronto, which supports the baseline that any Korneeva price strength would likely need a schedule or fitness surprise rather than a routine draw read.[14][19]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page compares National Bank Open: Alina Korneeva vs Coco Gauff specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. The live probability is the Polymarket mid; the comparison columns summarise each venue's fee structure, KYC, settlement currency and payment rails. Every CTA routes to Robinhood Prediction Markets, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.

FAQ

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.
Which platform is accessible globally?
Polymarket is geo-blocked in the US/UK/EU. Kalshi is US-only. Betfair and Smarkets are UK-restricted. Robinhood Prediction Markets has a different geo footprint and routes to Polymarket's order book at 0% fees.
Are all these platforms regulated?
No. Kalshi is CFTC-regulated (US). Betfair and Smarkets are UK Gambling Commission licensed. Polymarket operates without explicit regulation — a different risk profile than a regulated sportsbook.
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Related Topics

Tennis Prediction Markets