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Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya

"Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya" — live football odds plus comparison across the four major prediction venues.

Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya 100% Completed Match 100% Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 1 Winner 100% Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 2 Winner 100% Volume: $738K Closes: 7 Aug 2026
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Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Champions League Prediction) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle See live odds →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain See live odds →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD See live odds →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR See live odds →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) See live odds →

Outcome probabilities

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

OutcomeProbability
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya100%
Completed Match100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 1 Winner100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 2 Winner100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 1 O/U 8.5100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set Handicap +/-1.5100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 2 O/U 8.5100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 2 O/U 9.5100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 2 O/U 10.5100%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Total Sets: O/U 2.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Match O/U 21.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 1 O/U 9.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set Handicap +/-1.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Match O/U 22.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Set 1 O/U 10.50%
Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya Match O/U 23.50%

Market context

Jessica Pegula’s quarter-final with Anna Kalinskaya in Washington has enough prior evidence to explain why the market is priced so heavily towards Pegula advancing. The WTA match notes list Pegula as the No. 3 seed and say she leads the head-to-head 4-1, while Sportskeeda notes that every one of those meetings went to a deciding set, including their most recent clash in Brisbane in January.[17][1] That combination matters for traders: Pegula has consistently had the upper hand, but the close scorelines also mean Kalinskaya has a credible route to forcing a longer match than the raw favourite price suggests.[1][17]

The current 100% YES crowd view is in line with the pre-match market, where Pegula has been the clear favourite in published odds and preview pieces.[1][2][16] Recent tournament form is also relevant: the WTA match notes show Pegula reaching this stage after straight-sets and three-set wins over Daria Kasatkina and Janice Tjen, while Kalinskaya’s path has depended on her own draw position and prior rounds in the same event.[17][5] For comparison, model-style win probabilities have still put Pegula comfortably ahead, although not at a literal certainty, which is why a maxed-out crowd price is more aggressive than the wider pre-match consensus.[3][16]

The main live catalysts are straightforward: confirmation that the match starts on time, whether there is any injury or medical timeout news, and whether scheduling at the Mubadala Citi DC Open remains intact across the quarter-final slate.[17][9] If the match is not played, ends in a tie, or is delayed beyond the settlement window without a winner, the market’s rules point to a 50-50 outcome rather than a Pegula win. Traders should also watch for any late withdrawal or walkover announcement from the tournament feed, because that would matter more here than historical head-to-head numbers.[17]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Football-specific comparison page for Mubadala Citi DC Open: Jessica Pegula vs Anna Kalinskaya. 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

Are prediction markets better than sports betting?
Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
When do sports markets resolve?
Typically within hours of the official final whistle. Polymarket uses UMA Optimistic Oracle with source URLs pointing at official league data feeds — e.g. the Premier League for EPL markets, UEFA for Champions League, FIFA for World Cup.
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.
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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