Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 2 Winner | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 1 O/U 8.5 | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 2 O/U 8.5 | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 1 O/U 9.5 | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 2 O/U 9.5 | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 1 O/U 10.5 | 100% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Match O/U 23.5 | 99% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Total Sets: O/U 2.5 | 95% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Match O/U 21.5 | 75% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Match O/U 22.5 | 75% |
| Swiss Open: Jaime Faria vs Stan Wawrinka | 61% |
| Completed Match | 50% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set Handicap +/-1.5 | 3% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 1 Winner | 0% |
| Swiss Open: Jaime Faria vs Stan Wawrinka Set 2 O/U 10.5 | 0% |
Market context
Jaime Faria faces Stan Wawrinka in the first round of the ATP Swiss Open in Gstaad, with the match scheduled for 11:30 AM ET on 14 July 2026. The crowd-implied probability of 33% for Wawrinka advancing significantly undercuts independent predictive models, which consistently favour the Portuguese player.
Historical precedents for veteran players returning to their home tournament in farewell appearances often show market sentiment leaning toward the incumbent, yet statistical models frequently correct this bias. In comparable ATP events where a top-100 player meets a retiring legend on home soil, the younger competitor’s win probability typically aligns with 60–66%, as seen in recent simulations projecting Faria with a 64–66% chance of victory [2][10]. The current 33% implied probability for Wawrinka suggests a notable divergence from model consensus, mirroring past instances where crowd optimism overvalued sentimental narratives against form-based analytics.
Traders should monitor the match start time and any pre-match injury updates, as Wawrinka’s recent recovery from injury remains a key dependency. While initial odds list Faria at 1.59 and Wawrinka at 2.35, the market’s current pricing implies a higher risk of Wawrinka success than models suggest [4]. No major declarations or campaign-finance disclosures apply here, but the catalyst is the match outcome itself, with settlement contingent on completion before 20 July 2026. Any delay beyond seven days or cancellation would reset the market to 50-50, a clause that adds volatility if weather or injury disrupts play [1].
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 Swiss Open: Jaime Faria vs Stan Wawrinka 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
- 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 Trump Prediction 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.
- 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.
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