National Bank Open: Zachary Svajda vs Arthur Fils

Platform comparison

Market context

Arthur Fils and Zachary Svajda are scheduled to meet in the National Bank Open, with Fils the higher-rated player on recent form and rankings. The main practical point for a market watcher is that this is a straight advance-or-not outcome: if the match is played and one player moves on, settlement follows the winner; if it is not played at all, or is pushed beyond the seven-day window without a winner, the market falls back to 50-50 under the rules described.

The historical frame is thin because there is no previous tour-level head-to-head between them, so programmatic models should lean on surface-adjusted form rather than direct matchup history. Fils has the stronger 2026 record and the better serve-return profile in available season stats, while Svajda’s results are more mixed and his hard-court record is weaker across comparable databases.[1][4][5] That usually leaves the price more sensitive to late information than to any head-to-head trend, which matters when you are setting conditional orders or automating alerts around line movement.

The key catalysts are operational rather than narrative: official order-of-play updates, any change to the 10:00AM ET slot, and whether the match is started, suspended, or completed inside the settlement window. Live scoring feeds already list the fixture, but statistics will only populate once play begins, so bots that track status should watch for a first-ball timestamp, retirement flags, and postponement notices.[6][8][12] If the tournament schedule slips or weather disrupts court availability, the probability of a 50-50 fallback rises mechanically because the contract resolves on whether the winner is determined in time, not on pre-match expectations.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track National Bank Open: Zachary Svajda vs Arthur Fils across the five venues with material prediction-market liquidity. The probability shown is the live Polymarket mid; the comparison rows summarise how each venue treats the underlying contract — fees, KYC thresholds, settlement currency, deposit options. The highlighted row marks the cheapest route into Polymarket's order book.

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 Kalshi Fees. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

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.

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 Kalshi Fees 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.