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National Bank Open: Nicolas Mejia vs Martin Landaluce

How the prediction-market book is pricing "National Bank Open: Nicolas Mejia vs Martin Landaluce" right now, with a side-by-side platform comparison and zero-fee CTAs.

National Bank Open: Nicolas Mejia vs Martin Landaluce 100% Completed Match 100% National Bank Open: Nicolas Mejia vs Martin Landaluce Set 2 O/U 8.5 100% National Bank Open: Nicolas Mejia vs Martin Landaluce Set 1 O/U 8.5 100% Volume: $284K Closes: 9 Aug 2026
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National Bank Open: Nicolas Mejia vs Martin Landaluce

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Best Prediction Markets) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
100% 0% 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: Nicolas Mejia vs Martin Landaluce100%
Completed Match100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 2 O/U 8.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 1 O/U 8.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Match O/U 21.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Total Sets: O/U 2.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 2 Winner100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 2 O/U 9.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 1 O/U 9.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Match O/U 22.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Match O/U 23.5100%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 1 Winner0%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set Handicap +/-1.50%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set Handicap +/-1.50%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 2 O/U 10.50%
National Bank Open: Nicolas Mejia vs Martin Landaluce Set 1 O/U 10.50%

Market context

Nicolas Mejia’s meeting with Martin Landaluce in Montréal is priced close to a coin flip on the prediction market, with the contract at 49% and Tennis.com’s projected winner model leaning the other way at 74% for Landaluce, so the main cross-platform split is between a market that is close to even and model-driven tennis previews that are materially more bullish on the Spaniard.[9][14] The live rankings also point in the same direction as the previews: Landaluce is ATP No. 63, while Mejia is No. 131.[1][3]

For context, the absence of any head-to-head record means traders are reading form and surface indicators rather than direct matchup history.[1][2] Landaluce has stronger tour-level credentials on paper, including a 14-11 record against players outside the top 100 this season and a 4-4 career mark in Masters first-round matches, whereas Mejia is still seeking his first main-draw win at a tour-level hard-court event and is 0-3 on that surface at that level.[1] Comparable cases in early-round ATP Masters events often stay volatile until line-ups and court assignment are confirmed, because younger, lower-profile entrants can move sharply on late news rather than on ranking alone.[1][14]

The main catalysts are straightforward: official order-of-play updates, whether the match starts on the scheduled hard court, and any delay that pushes it beyond the market’s seven-day settlement window, which would trigger the 50-50 fallback rather than a player win.[1] Because both players are already listed for the Round 1 Montréal match, the practical risk for traders is less about a new opponent and more about whether the match is actually staged as scheduled, or whether a suspension, walkover or cancellation alters resolution.[9][12]

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

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

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.
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.
How fast are USDC deposits?
Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.
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.
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Related Topics

Tennis Prediction Markets