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National Bank Open: Alina Korneeva vs Emma Navarro

How the sports market is pricing "National Bank Open: Alina Korneeva vs Emma Navarro" right now — live quote plus platform comparison.

National Bank Open: Alina Korneeva vs Emma Navarro 100% Completed Match 100% National Bank Open: Alina Korneeva vs Emma Navarro Set 2 Winner 100% National Bank Open: Alina Korneeva vs Emma Navarro Set 1 Winner 100% Volume: $307K Closes: 11 Aug 2026
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National Bank Open: Alina Korneeva vs Emma Navarro

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via March Madness Predictions) 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.

OutcomeProbability
National Bank Open: Alina Korneeva vs Emma Navarro100%
Completed Match100%
National Bank Open: Alina Korneeva vs Emma Navarro Set 2 Winner100%
National Bank Open: Alina Korneeva vs Emma Navarro Set 1 Winner100%
National Bank Open: Alina Korneeva vs Emma Navarro Set Handicap +/-1.5100%
National Bank Open: Alina Korneeva vs Emma Navarro Set 1 O/U 8.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set 2 O/U 8.50%
National Bank Open: Alina Korneeva vs Emma Navarro Total Sets: O/U 2.50%
National Bank Open: Alina Korneeva vs Emma Navarro Match O/U 21.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set 1 O/U 9.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set 2 O/U 9.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set Handicap +/-1.50%
National Bank Open: Alina Korneeva vs Emma Navarro Match O/U 22.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set 2 O/U 10.50%
National Bank Open: Alina Korneeva vs Emma Navarro Set 1 O/U 10.50%
National Bank Open: Alina Korneeva vs Emma Navarro Match O/U 23.50%

Market context

Alina Korneeva versus Emma Navarro in Toronto is a straight two-player WTA match with no established head-to-head record, so the market should be read mainly through ranking, surface history and recent form rather than past matchup dynamics.[1][2] Navarro comes in as the higher-ranked player at about WTA No 28/26 in the listed previews, with a stronger career profile and a projected edge in pre-match models, while Korneeva’s appeal is that she has logged a stronger 2026 win rate overall than Navarro in the samples shown.[4][9] That split is a useful reminder that a 100% crowd price can still be vulnerable if traders are simply anchoring on Navarro’s status and not the match-specific numbers.[1][3]

For comparable cases, tennis markets like this often reprice quickly when the gap between ranking and recent hard-court form is narrower than it first appears. Korneeva’s 2026 hard-court results in the cited datasets are materially better than Navarro’s, which matters in Toronto because the event is played on hard courts.[1][3] Navarro still brings the deeper resume: her career peak ranking has been as high as No 8, and she has the more established WTA track record overall.[9] In other words, the market is less about a known matchup edge and more about whether the favourite’s class advantage outweighs Korneeva’s current-level performance.

The main catalysts for traders are the match itself, any schedule changes and whether either player has entered with workload or fitness issues from the opening rounds.[5][9] Flashscore and tournament listings show the match in the National Bank Open draw for early August, but live status pages also underline that actual start time and completion remain the key dependency for settlement.[5][10] If there is a late withdrawal, walkover or weather-driven delay beyond the settlement rules, the outcome can shift away from a straightforward player advance, so confirmed line-up, official order of play and in-match retirement risk are the practical variables to watch.[5][9]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Sports-specific comparison page for National Bank Open: Alina Korneeva vs Emma Navarro. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi or Manifold.

Resolution & payout

Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.

FAQ

What are live sports odds on Polymarket?
Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
Which sports markets are available?
Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
How fast do sports winnings settle?
Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
What's the difference between match odds and outright odds?
Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
Can I import form data and lineups?
This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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Related Topics

Tennis Prediction Markets