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National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini

How the prediction market is pricing "National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini" right now — Polymarket mid plus comparison with Betfair and Manifold.

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% Volume: $137K Closes: 8 Aug 2026
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National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Champions League Prediction) 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
Completed Match100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 Winner100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Total Sets: O/U 2.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 21.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 8.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 22.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 9.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Match O/U 23.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 O/U 10.5100%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini0%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 1 Winner0%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 8.50%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 9.50%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set 2 O/U 10.50%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set Handicap +/-1.50%
National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini Set Handicap +/-1.50%

Market context

Sofia Kenin’s qualifying match with Lucrezia Stefanini at the National Bank Open is a straightforward WTA 1000 opener on outdoor hard courts in Toronto, with Kenin listed around WTA No 116 and Stefanini around No 144 in live event feeds. The market’s 0% crowd-implied YES price sits against a fixture that, on paper, is closer than a name-gap glance suggests: the pair have no recorded professional head-to-head, so there is no direct matchup history to anchor expectations.[1][2][11]

Comparable cases in qualifying often swing on ranking depth, current hard-court form and whether the favourite has been playing competitive tennis recently. Available trackers show Stefanini with the stronger trailing 12-month hard-court win rate, while Kenin’s recent match log has been patchier, which helps explain why a near-blank market can still be sensitive to small line changes if the draw state or player condition shifts.[2][6] In other words, the current price is less a verdict on class than a reflection of how little settled head-to-head evidence exists here.[2][5]

The main catalysts to watch are simple but decisive: whether the match remains on schedule, whether either player is moved on or off the Grandstand order, and any late fitness or withdrawal updates from the tournament feed. Tennis.com still listed the matchup as an upcoming qualifying-round fixture on Grandstand, while live scoring services have also treated it as active in Toronto, so a trader would want confirmation that both players actually take the court and that no retirement or walkover changes the settlement path.[1][11][19]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for National Bank Open, Qualification: Sofia Kenin vs Lucrezia Stefanini. 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 (US-focused) or Manifold (play-money).

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

Are prediction markets better than sports betting?
Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
Can I bet on individual matches?
Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
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.
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.
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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