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Newport: Mananchaya Sawangkaew vs Mary Stoiana

"Newport: Mananchaya Sawangkaew vs Mary Stoiana" across the four most-traded political prediction venues — live data, regulatory notes, every CTA to Election Predictions UK.

Newport: Mananchaya Sawangkaew vs Mary Stoiana 100% Completed Match 100% Newport: Mananchaya Sawangkaew vs Mary Stoiana Total Sets: O/U 2.5 100% Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 2 Winner 100% Volume: $525K Closes: 17 Jul 2026
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Newport: Mananchaya Sawangkaew vs Mary Stoiana

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
Newport: Mananchaya Sawangkaew vs Mary Stoiana100%
Completed Match100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Total Sets: O/U 2.5100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 2 Winner100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 1 O/U 8.5100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Match O/U 21.5100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Match O/U 22.5100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Match O/U 23.5100%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 1 Winner0%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 2 O/U 8.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 1 O/U 9.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set Handicap +/-1.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 2 O/U 9.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 1 O/U 10.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set 2 O/U 10.50%
Newport: Mananchaya Sawangkaew vs Mary Stoiana Set Handicap +/-1.50%

Market context

A WTA 125K quarterfinal at the Hall of Fame Open in Newport pits Mananchaya Sawangkaew against Mary Stoiana on grass, with the market pricing Sawangkaew’s advancement at certainty. The match was scheduled for 11:00AM ET on 10 July 2026 at the International Tennis Hall of Fame, where Stoiana entered after defeating Iryna Shymanovich 3-6, 6-2, 6-2 in the second round to set up this rematch with Sawangkaew [5].

Historically, 100% crowd-implied probabilities in tennis prediction markets signal either a non-starter for one player or an administrative error, as even dominant grass-court specialists face unforced errors, serve breaks, or weather delays that prevent certainty. Comparable cases from WTA 125K events show that markets resolving to 50-50 when matches are canceled or delayed beyond seven days have occurred in 12% of grass tournaments since 2022, reflecting the volatility of outdoor surfaces [9].

Traders should monitor the live start time, surface conditions, and any pre-match injury reports from the tournament’s official feed, as grass matches are highly sensitive to humidity and court wear. The Hall of Fame Open’s $225,000 prize pool and WTA series status mean player availability is tightly managed, with no recent campaign-finance disclosures or political declarations affecting this contest [9]. The market leans on the scheduled start time as its primary catalyst, with resolution contingent on the match being played and completed within the seven-day window.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page tracks Newport: Mananchaya Sawangkaew vs Mary Stoiana across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Election Predictions UK provide a 0%-fee route into the same order book.

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

What resolution source is used for elections?
Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
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.
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.
Which political events have the biggest volume?
US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.
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Trade Newport: Mananchaya Sawangkaew vs Mary Stoiana on Election Predictions UK

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Related Topics

Tennis Prediction Markets