National Bank Open: Adam Walton vs Jenson Brooksby

Platform comparison

Market context

Adam Walton and Jenson Brooksby are due to meet in the National Bank Open first round on outdoor hard courts in Montréal, with both players listed on Court 9 and Brooksby holding the ranking edge in the pre-match listings. Market feeds and sportsbook prices point to Brooksby as the marginal favourite, typically in the low- to mid-50s on win probability, while one exchange-style market was showing a much stronger Brooksby lean, which is useful context for anyone programmatically comparing venue odds, implied probability and late price drift.[1][2][3][7]

For historical framing, this is a low-information matchup: the pair had no recorded head-to-head before this tournament, so model inputs are mostly surface form, recent results and ranking-level proxies rather than direct matchup history.[4][5] That matters for conditional-order logic, because first-round ATP Masters matches can reprice quickly if one player is moved on to a different court, if start times slip, or if the market rolls from pre-match to live after the first ball is struck; a separate exact-score market on the same fixture also confirms that traders were treating the contest as live and schedulable rather than abandoned.[11][13]

The main catalysts to watch are the official start notice, any court reassignment, and whether the match actually begins, because the settlement rules turn a no-show, cancellation or delay beyond seven days into a 50-50 result. In practical terms, bots that monitor feed status should key off the ATP/tournament schedule and live match state rather than just the published date, since the same fixture was being listed with slightly different start times across feeds and bookmakers on the eve of play.[1][3][6][12]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track National Bank Open: Adam Walton vs Jenson Brooksby 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 Polymarket Bot UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

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.

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.