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 |
|---|---|
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 1 Winner | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 4 O/U 8.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 3 Winner | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 1 O/U 8.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 1 O/U 9.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 1 O/U 10.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 2 O/U 8.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 2 O/U 9.5 | 100% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria | 84% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Match O/U 36.5 | 83% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Total Sets: O/U 3.5 | 75% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Match O/U 40.5 | 52% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 4 O/U 9.5 | 51% |
| Completed Match | 50% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 4 O/U 10.5 | 50% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 4 Winner | 50% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Match O/U 38.5 | 50% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Total Sets: O/U 4.5 | 50% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set Handicap +/-1.5 | 49% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set Handicap +/-2.5 | 5% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 3 O/U 10.5 | 0% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 2 Winner | 0% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 2 O/U 10.5 | 0% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 3 O/U 8.5 | 0% |
| Wimbledon ATP: Zizou Bergs vs Jaime Faria Set 3 O/U 9.5 | 0% |
Market context
The underlying event is the second-round Wimbledon ATP tennis match between Zizou Bergs and Jaime Faria, set for 2 July 2026 at 6:00 AM ET, where the market currently prices Bergs advancing at 79% YES. Historical parallels suggest this probability is well-founded: Bergs has won four of his last five matches against Portuguese players, while Faria has struggled against Belgians, winning only two of seven such encounters[4]. Furthermore, Bergs possesses superior grass-season momentum, better return statistics, and higher tour-level comfort compared to Faria, who entered via qualifying and has played fewer matches overall[1][7]. The absence of any head-to-head record between the two means form and surface history dominate the assessment[3].
Traders should monitor post-match developments for any retirements or delays, as the market resolves to a fair price if the match does not begin or is cancelled before a ball is played[5]. Key catalysts include Faria’s serving quality and confidence after winning four straight Wimbledon matches, which could make early sets competitive, though Bergs’ return numbers remain the decisive factor[1]. Watch for official announcements regarding weather delays or player injuries, as Wimbledon’s rules state postponed matches remain open until completion within two weeks[5]. The market leans heavily on Bergs’ established rhythm and experience, with Faria’s recent qualifying success acting as the only potential counter-narrative to the 79% pricing.
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 ATP: Zizou Bergs vs Jaime Faria 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.
- 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.
- 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.
- Are political prediction markets legal in my country?
- It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
- 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.
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