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Wimbledon WTA: Lois Boisson vs Elena Rybakina

How the prediction markets are pricing "Wimbledon WTA: Lois Boisson vs Elena Rybakina" right now — live Polymarket order book quote, plus platform comparison.

Wimbledon WTA: Lois Boisson vs Elena Rybakina Total Sets: O/U 2.5 100% Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 21.5 100% Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 22.5 100% Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 23.5 100% Volume: $232K Closes: 6 Jul 2026
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Wimbledon WTA: Lois Boisson vs Elena Rybakina

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
Wimbledon WTA: Lois Boisson vs Elena Rybakina Total Sets: O/U 2.5100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 21.5100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 22.5100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Match O/U 23.5100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 1 O/U 8.5100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 1 O/U 9.5100%
Completed Match100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 2 Winner100%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 2 O/U 8.50%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 2 O/U 9.50%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 2 O/U 10.50%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 1 O/U 10.50%
Wimbledon WTA: Lois Boisson vs Elena Rybakina0%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set 1 Winner0%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set Handicap +/-1.50%
Wimbledon WTA: Lois Boisson vs Elena Rybakina Set Handicap +/-1.50%

Market context

The underlying event is a first-round Wimbledon WTA match between Lois Boisson and Elena Rybakina, scheduled for 10:05 AM ET on 30 June 2026, where Boisson must advance to win the market. Current betting odds place Rybakina at -5556, implying a 96.4% win probability, while Boisson sits at +2200 with only a 3.6% chance of victory[1]. This extreme disparity mirrors historical cases at Wimbledon where a top-ranked champion faces a qualifier or lower-ranked opponent in the opener; in such instances, the market-implied probability for the underdog rarely exceeds 5%, and actual outcomes almost invariably follow the odds unless a rare injury or weather disruption intervenes[1].

Traders should monitor pre-match announcements regarding player fitness, court conditions, and any potential delays, as these are the primary catalysts that could shift the current 0% YES probability for Boisson. Recent coverage from Dimers confirms Rybakina’s dominance in simulations, with her model assigning her a 96% win chance, reinforcing that the market is leaning heavily on her established form and ranking advantage[1]. No major political or campaign-finance disclosures apply here, as this is a sporting event, but any news source reporting on player health or tournament scheduling changes before the match begins would be the critical watchpoint for traders[1]. The market is currently anchored on Rybakina’s likelihood to win without significant external interference.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page tracks Wimbledon WTA: Lois Boisson vs Elena Rybakina 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

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.
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.
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 Wimbledon WTA: Lois Boisson vs Elena Rybakina on Election Predictions UK

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Related Topics

Tennis Prediction Markets