Roland Garros WTA: Ksenia Efremova vs Sorana Cirstea

Platform comparison

Active sub-markets

Market context

Ksenia Efremova, the Russian qualifier ranked outside the top 200, faces established Romanian competitor Sorana Cirstea in the opening rounds of Roland Garros in May 2026. Cirstea, a former top-20 player with multiple Grand Slam main-draw appearances, enters as the clear favourite based on ranking differential and tournament experience. The 0% crowd probability reflects Efremova's status as an outsider, though such extreme readings at this distance from the match often signal insufficient liquidity rather than genuine certainty.

Efremova's pathway to this matchup via qualifying rounds demonstrates her current standing in professional tennis, whilst Cirstea's seeding or direct entry speaks to her established ranking. Historical context matters here: qualifiers occasionally upset seeded players at Roland Garros, but the frequency remains low enough that markets typically price them as 15–25% chances rather than zeroes. The absence of recent head-to-head meetings between these players means traders cannot anchor on previous form dynamics, making current ranking gaps and recent tournament results the primary inputs.

Traders should monitor official Roland Garros draw confirmations and any late injury withdrawals that might alter the matchup entirely. Cirstea's recent performance at lower-tier events and Efremova's qualifying run results will clarify whether the current pricing reflects genuine form disparity or simply reflects the market's default treatment of qualifier versus seeded player scenarios. Fixture confirmations typically arrive 4–6 weeks before the tournament, providing a window for probability reassessment based on updated information.

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 PolyGram, 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.

Is this market available outside the US?

PolyGram is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.

What does it cost to trade on PolyGram?

Zero. PolyGram routes every order to the live Polymarket order book; the only cost is the Polygon network fee, typically under $0.01 per transaction.

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.