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توقع: Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina

"توقع: Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina" — live football odds plus comparison across the four major prediction venues.

Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 1 O/U 8.5 69% Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Match O/U 21.5 53% Completed Match 50% Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 2 O/U 8.5 50% Volume: $95K Liquidity: $402K Closes: 7 Aug 2026
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توقع: Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via احتمالات كأس العالم) Pick
polygram.ink (preferred broker)
69% 31% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle View on Polymarket →
Polymarket (direct)
polymarket.com
69% 31% 0% Geo-blocked in US/UK/EU USDC, on-chain View on Polymarket →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD View on Polymarket →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR View on Polymarket →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) View on Polymarket →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 1 O/U 8.569%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Match O/U 21.553%
Completed Match50%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 2 O/U 8.550%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 2 O/U 9.550%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 2 O/U 10.550%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Match O/U 22.548%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 1 O/U 9.547%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 2 Winner45%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 1 Winner44%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Match O/U 23.544%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Total Sets: O/U 2.543%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina42%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set Handicap +/-1.536%
Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina Set 1 O/U 10.524%

Market context

Alexandra Eala is meeting Elina Svitolina in the Washington quarter-final, and the 42% crowd price leaves the underdog side slightly shorter than a pure coin flip. That fits the shape of the matchup: Svitolina has the steadier season ledger and higher ranking profile, but Eala already owns the only head-to-head, beating her 6-3, 6-4 on grass in Berlin in June. This is their first hard-court meeting, so the market is not just pricing class versus form; it is also pricing how transferable that earlier result is to a faster North American hard court.[1][6][12]

Comparable recent meetings point to a match that can swing on serve quality and whether Svitolina can impose her return game early. Reports around the Berlin clash described Svitolina as 36-10 on the season with a 20-5 hard-court record and finals in Auckland and Rome, while Eala had come through a strong grass run and had already shown she can beat top opposition, including an upset of Elena Rybakina.[1][3][7][11] In that context, 42% implies traders are giving meaningful weight to Eala’s upset equity, but still leaning towards Svitolina’s longer sample of elite-level consistency.[1][3][14]

The main catalysts are lineup and scheduling rather than injuries, because no credible reports in the available results indicate an absence or fitness issue for either player. Tennis.com listed the quarter-final as the next live match on the WTA side of the DC Open draw, so any delay, withdrawal, or rescheduling would matter more to pricing than tactical noise, especially given the market’s 7-day settlement rule.[13] For traders, the key checks are whether the match starts on time, whether the order of play changes, and whether either player comes through a long preceding match that could affect freshness before first ball.[13]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for توقع: Mubadala Citi DC Open: Alexandra Eala vs Elina Svitolina. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi (US-focused) or Manifold (play-money).

Resolution & payout

Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.

FAQ

Can I bet on individual matches?
Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
What are live sports odds on Polymarket?
Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
How fast do sports winnings settle?
Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
What's the difference between match odds and outright odds?
Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
Can I import form data and lineups?
This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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