National Bank Open: Camila Osorio vs Ekaterina Alexandrova

Platform comparison

Market context

Camila Osorio is scheduled to play Ekaterina Alexandrova in the National Bank Open second round, and the market’s **0% YES** price is far below the betting range currently attached to the fixture. Live odds listings around the match show Alexandrova as the shorter favourite, with several books and model pages putting her in the high-70s to low-80s implied range, while other previews still leave Osorio with a meaningful upset chance rather than a true zero-probability outcome.[1][4][7][8]

For a trader running this programmatically, the key comparison is not the crowd price alone but whether the event remains on the official schedule and whether both players are still marked active in the tournament feed. The National Bank Open match page currently shows the contest as upcoming, which matters because these markets can flip sharply if a withdrawal, walkover, or same-day schedule change is posted before first serve.[5][13] Historical-style pricing around similar WTA matchups also tends to move quickly when the favourite is confirmed and the court assignment is locked in, so automated checks should watch for last-minute line movement rather than assuming the pre-match crowd number is stable.[1][6]

The main catalysts are straightforward: the official order of play, any injury or medical timeout news, and whether the start time holds at 20:30 local time. If the match is postponed beyond the settlement window or never begins, the market can resolve to 50-50 under the rules, so bots and conditional orders should track postponement status, not just winner odds.[2][5] For a power-user setup, the practical trigger is a feed that polls tournament status and sportsbook/scoreboard updates together, because a confirmed scratch is more important here than marginal changes in model probability.

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 Kalshi Fees, which mirrors the Polymarket order book directly.

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.

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.

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.