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Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova

Cross-platform snapshot for "Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova": deepest order book, lowest fee, geo-coverage at a glance.

Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova 100% Completed Match 100% Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 Winner 100% Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 O/U 8.5 100% Volume: $1.1M Closes: 7 Aug 2026
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Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova

Platform comparison

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

Outcome probabilities

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

OutcomeProbability
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova100%
Completed Match100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 Winner100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 O/U 8.5100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 1 O/U 8.5100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 O/U 9.5100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 1 Winner100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set Handicap +/-1.5100%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Match O/U 21.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Total Sets: O/U 2.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 1 O/U 9.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 2 O/U 10.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Match O/U 22.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Set 1 O/U 10.50%
Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova Match O/U 23.50%

Market context

Diana Shnaider versus Liudmila Samsonova is the match underpinning this market, and the crowd is already pricing a near-certainty even though the market mechanics still depend on the contest actually being completed. The listed current crowd-implied probability of **100% YES** is difficult to reconcile with the underlying uncertainty in any live tennis match, especially because settlement can revert to 50-50 if the match is not played, is tied, or is delayed beyond seven days without a winner.

Recent head-to-head data gives Shnaider the cleaner case on paper: she leads Samsonova **2-0** in professional meetings, with wins on clay in Rome in 2024 and on hard court in Toronto in 2024.[2][8] That history is still a useful frame, but the matchup is not one-sided in live terms: their Wimbledon meeting in July 2026 went to three sets, showing Samsonova can push the contest closer than the raw head-to-head record suggests.[7][11] For comparison across platforms, Polymarket-style markets show a direct probability, whereas Betfair and Smarkets usually require traders to think in decimal odds and factor in exchange commission; Kalshi’s access is more regionally constrained and involves account verification, so the same event can screen differently depending on fees and reach.

For traders, the main catalysts are scheduling and whether the tournament keeps this pairing intact on the announced order of play. The market description states the match was originally scheduled for 31 July 2026 at 3:30pm ET, so any court change, rain interruption, or walkover matters more here than small ranking differences. Washington has already produced relevant precedent for Samsonova, who won the event in 2022, so venue conditions and recovery timing are worth watching as much as pre-match form.[10]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page compares Mubadala Citi DC Open: Diana Shnaider vs Liudmila Samsonova specifically across Polymarket, Kalshi, Betfair Exchange and Smarkets. The live probability is the Polymarket mid; the comparison columns summarise each venue's fee structure, KYC, settlement currency and payment rails. Every CTA routes to Robinhood Prediction Markets, which mirrors the Polymarket order book at 0% fees.

Resolution & payout

Settlement is the biggest difference between the four platforms: Polymarket on-chain in USDC (instant), Kalshi USD via CFTC (T+1), Betfair and Smarkets in local currency via bank withdrawal (T+1 to T+3). On-chain settlement clears in minutes — the fastest payout path of the four.

FAQ

What does Polymarket cost vs Kalshi?
Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
Which platform has the deepest liquidity?
Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
What about Smarkets as an alternative?
Smarkets is a UK betting exchange with a lower default commission (2%) than Betfair. Liquidity on political markets is below Polymarket, comparable to Kalshi. Geo-blocked in many jurisdictions.
Which platform is accessible globally?
Polymarket is geo-blocked in the US/UK/EU. Kalshi is US-only. Betfair and Smarkets are UK-restricted. Robinhood Prediction Markets has a different geo footprint and routes to Polymarket's order book at 0% fees.
Which platform supports Klarna/SOFORT?
Directly: none. Polymarket accepts only USDC on Polygon. Robinhood Prediction Markets offers a fiat on-ramp via Klarna or SOFORT (DE/AT/CH) and converts internally to USDC for the Polymarket order book. T+1 processing.
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Related Topics

Tennis Prediction Markets