Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Election Predictions UK) Pick polygram.ink (preferred broker) |
59% | 41% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
59% | 41% | 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.
| Outcome | Probability |
|---|---|
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set Handicap +/-1.5 | 59% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 1 O/U 9.5 | 51% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 1 O/U 10.5 | 51% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 2 O/U 9.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 2 O/U 10.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 1 O/U 8.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Match O/U 21.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 2 O/U 8.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Match O/U 22.5 | 50% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Match O/U 23.5 | 50% |
| Completed Match | 49% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Total Sets: O/U 2.5 | 32% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 2 Winner | 31% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova | 18% |
| Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova Set 1 Winner | 18% |
Market context
The underlying real-world event is the second-round WTA tennis match at Wimbledon between 18-year-old qualifier Tyra Caterina Grant and Marie Bouzkova, scheduled for 6:00 AM ET on 2 July 2026. Grant, who has secured 27 wins this season, faces Bouzkova, the recent Nottingham champion, in a contest where the market currently assigns a 22% probability to Grant advancing[1][2].
Historical precedents for young qualifiers facing established champions at Wimbledon suggest that early-round probabilities often understate the volatility of grass-court transitions, with similar matchups in 2024 and 2025 showing final outcomes diverging sharply from opening odds by 15–20%[6][8]. Comparable cases involving qualifiers under 20 years old indicate that crowd-implied probabilities of 20–25% frequently resolve to either a decisive upset or a narrow loss, framing the current 22% as a plausible but fragile assessment of Grant’s chances.
Traders should monitor the WTA’s official match schedule for any delays beyond the 7-day resolution window, as well as real-time live score updates from Flashscore or FanDuel for early-set momentum shifts that could signal a breakthrough[5][7]. The market leans heavily on the catalyst of Grant’s first-set performance, given her recent win against Francesca Jones and loss to Mirra Andreeva in late May, which highlights her inconsistency against top-tier opponents[8]. No further announcements or campaign-finance disclosures are relevant to this tennis event, but live streaming availability on Disney Plus may provide additional data points for in-play analysis[3].
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 Wimbledon WTA: Tyra Caterina Grant vs Marie Bouzkova 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
For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.
FAQ
- 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.
- How fast do political markets react to news?
- High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
- 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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