Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
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.
| Outcome | Probability |
|---|---|
| Completed Match | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 2 O/U 8.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 1 O/U 8.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Total Sets: O/U 2.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 2 Winner | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Match O/U 21.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 2 O/U 9.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Match O/U 22.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 2 O/U 10.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Match O/U 23.5 | 100% |
| Wimbledon WTA: Claire Liu vs Coco Gauff | 0% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 1 Winner | 0% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set Handicap +/-1.5 | 0% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 1 O/U 9.5 | 0% |
| Wimbledon WTA: Claire Liu vs Coco Gauff Set 1 O/U 10.5 | 0% |
Market context
The underlying real-world event is the third-round WTA match at Wimbledon between Claire Liu and Coco Gauff, scheduled for 6:00 AM ET on 3 July 2026, where the market bets on Liu advancing past Gauff. Current crowd-implied probability sits at 11% for Liu, reflecting a steep ranking gap and Gauff’s dominance in their head-to-head record.
Historically, such low probabilities for lower-ranked players facing top contenders on grass align with past Wimbledon upsets where form and surface familiarity outweighed ranking; for instance, in 2019, Alison Riske defeated Gauff despite a 100+ ranking difference, yet Gauff has won both prior encounters against Liu on hard courts, with a 2–0 record and 100% set win rate[2]. This suggests the market is leaning on Gauff’s proven superiority and her 72% win percentage over the last 12 months, compared to Liu’s 65%[2].
Traders should watch the order of play release, which confirms the court and exact start time, as delays or weather disruptions could trigger the 50–50 resolution clause if the match is not completed within seven days[8]. Recent campaign-finance disclosures from the WTA’s governing body may also influence player focus, though no immediate announcements are expected before the match. The key catalyst remains Gauff’s momentum, underscored by her 146–7 ranking advantage and her recent second-round victory over Zeynep Sonmez[1][4].
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: Claire Liu vs Coco Gauff 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.
- 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.
Trade Wimbledon WTA: Claire Liu vs Coco Gauff on Election Predictions UK
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