Modena: Xiyu Wang vs Laura Samson

Platform comparison

Active sub-markets

Market context

Xiyu Wang, a Chinese professional tennis player, faces Laura Samson in a women's singles match scheduled for the Modena tournament on 8 June 2026. The match was originally set for 5:00 AM ET, an early slot typical of qualifying rounds or secondary court scheduling at WTA events. Resolution hinges on whether Wang advances past Samson; if either player retires mid-match, the advancing player wins the market. Should the fixture be cancelled outright, delayed beyond seven days without completion, or end in a tie, the market settles 50-50.

The 0% implied probability reflects genuine uncertainty about both players' current ranking trajectory and recent form data. Historical precedent suggests early-round WTA matches involving players outside the top 100 often trade with compressed odds until draw confirmation and injury reports surface. Comparable qualifying-stage markets typically see probability shifts only after official tournament draws are published and player fitness status is confirmed through practice schedules or media releases.

Traders monitoring this match should track WTA injury bulletins and Modena draw announcements, typically released 48–72 hours before tournament commencement. Programmatic approaches would benefit from conditional logic tied to draw confirmation; automated feeds from WTA official channels or sports data providers like ATP/WTA databases can flag scheduling changes or player withdrawals. The early morning ET slot itself warrants attention—time zone conversions and broadcast availability sometimes correlate with player performance variance, though this remains marginal relative to seeding and recent match records.

Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). The odds column is filled only where we have clean data — that avoids the made-up numbers that get a network demoted when search engines cross-check against the source venue.

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?

On Polymarket App UK, which mirrors the Polymarket order book at 0% 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.

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.

Do I need to KYC for this market?

Not under $1,500 of lifetime trading volume. Above that threshold, Polymarket App UK triggers a quick verification flow that finishes in 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.