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Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova

"Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova" across the four most-traded political prediction venues — live data, regulatory notes, every CTA to Election Predictions UK.

Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova 100% Completed Match 100% Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 1 Winner 100% Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set Handicap +/-1.5 100% Volume: $147K Closes: 6 Aug 2026
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Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova100%
Completed Match100%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 1 Winner100%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set Handicap +/-1.5100%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 2 Winner100%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 1 O/U 8.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Total Sets: O/U 2.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 2 O/U 8.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Match O/U 21.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 1 O/U 9.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 2 O/U 9.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Match O/U 22.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set Handicap +/-1.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 1 O/U 10.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Set 2 O/U 10.50%
Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova Match O/U 23.50%

Market context

Diana Shnaider’s match with Anastasia Potapova at the Mubadala Citi DC Open is priced as a near-certainty for Shnaider, but the tennis data do not support a 100% proposition. Their head-to-head is level at 1-1, with Potapova winning in Madrid on clay in 2024 and Shnaider replying in straight sets on hard court in Brisbane in January 2026[3][8][11][13]. That split matters because Washington is played on hard courts, and the most recent meeting on that surface went Shnaider’s way comfortably, which is the main sporting reason the market would lean towards her rather than treat the contest as a coin flip[12][15][17].

For traders, the key catalyst is whether the match is actually played on schedule and completed without disruption, because the market rules push a cancelled, tied, or indefinitely delayed contest to 50-50. The listed match date is 30 July 2026, and live event pages show the fixture as a scheduled Washington Open meeting, so the immediate dependency is the tournament order of play and any weather or draw-related postponement[2][4][16]. On form, recent season summaries show both players posting solid but not overwhelming records, with Potapova and Shnaider both in the mid-to-high 50s to around 60% win rates over the last 12 months, which is consistent with a competitive WTA hard-court match rather than a foregone conclusion[9][13][18].

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Mubadala Citi DC Open: Diana Shnaider vs Anastasia Potapova plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.

Resolution & payout

Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.

Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.

FAQ

How accurate are political prediction markets?
Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
Can prediction markets influence election outcomes?
Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
Which platform has the deepest political liquidity?
Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Election Predictions UK route into the same order book at 0% fees.
Are political prediction markets legal in my country?
It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
Why do Polymarket and Kalshi differ on elections?
Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
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