🎁 New traders: 100% Deposit Match up to $500 · 0% fees · instant USDC payoutsClaim it →
Skip to main content
HomeGuideCryptoMarketsBlogLive odds →

National Bank Open: Magdalena Frech vs Leolia Jeanjean

Live odds for "National Bank Open: Magdalena Frech vs Leolia Jeanjean" pulled from the Polygon order book, alongside the platform attributes of every venue that runs this contract.

National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 O/U 8.5 75% National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 O/U 9.5 75% National Bank Open: Magdalena Frech vs Leolia Jeanjean 56% Completed Match 50% Volume: $53K Liquidity: $72K Closes: 9 Aug 2026
Open live market →
National Bank Open: Magdalena Frech vs Leolia Jeanjean

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Who Will Win) Pick
polygram.ink (preferred broker)
75% 25% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
75% 25% 0% Geo-blocked in US/UK/EU USDC, on-chain Live odds →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Live odds →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Live odds →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Live odds →

Outcome probabilities

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

OutcomeProbability
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 O/U 8.575%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 O/U 9.575%
National Bank Open: Magdalena Frech vs Leolia Jeanjean56%
Completed Match50%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Total Sets: O/U 2.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 Winner50%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 2 O/U 8.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set Handicap +/-1.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Match O/U 21.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 2 O/U 9.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Match O/U 22.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set Handicap +/-1.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 1 O/U 10.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Match O/U 23.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 2 O/U 10.550%
National Bank Open: Magdalena Frech vs Leolia Jeanjean Set 2 Winner44%

Market context

Magdalena Frech against Léolia Jeanjean at the National Bank Open is priced with Frech as the narrow favourite, and the market’s 56% implied probability sits close to the broader consensus. Betting boards have generally made Frech around 1.60 and Jeanjean around 2.30, which points to a mid-to-high 50s win chance for Frech rather than a strong favourite position.[2][11]

That framing is consistent with the matchup profile: Frech is the higher-ranked player, while Jeanjean enters as the qualifier, so the handicapper’s default view is that the established tour player should progress unless the underdog can drag the match into a longer, scrappier contest.[2][3] Comparable pricing across preview and odds sites has leaned Frech, but not overwhelmingly so, which leaves the main value question on Jeanjean if the market overstates the ranking gap, or on Frech if the shorter price still underestimates her edge in a standard conditions match.[3][7][11]

Traders should watch the official order of play and any scheduling changes at Toronto, because this market resolves on who advances and can fall to 50-50 if the match is not played, ends level, or is delayed too long beyond the scheduled date.[10] Live event listings currently show the first-round match on the National Bank Open schedule, and bookmaker feeds have treated it as a normal straight-sets or three-set proposition rather than a mismatch, which suggests the key catalyst is less about headline news and more about whether the match is completed as planned.[2][4][8]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Who Will Win, which mirrors the Polymarket order book directly.

Resolution & payout

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

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 Who Will Win. 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.
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.
Do I need to KYC for this market?
On Polymarket directly, no — it's wallet-based. Intermediary brokers like Who Will Win trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
How reliable are the quoted odds?
The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
and

Trade National Bank Open: Magdalena Frech vs Leolia Jeanjean on Who Will Win

Live order book, 0% fees, USDC settlement in seconds.

Open live market →

Related Topics

Tennis Prediction Markets