Swiss Open: Raphael Collignon vs Valentin Vacherot

Platform comparison

Market context

The ATP Swiss Open quarterfinal in Gstaad pits Belgian Raphael Collignon against Frenchman Valentin Vacherot, with the match scheduled to begin at 10:30 local time on 17 July. The market currently assigns Collignon a 56% probability of advancing, mirroring the consensus from advanced tennis models that project him as the most likely winner [3][5]. This probability sits slightly below the 63.6% implied by current moneyline odds, which list Collignon as the favourite at -175 against Vacherot’s +135 [4].

Historically, quarterfinal probabilities in ATP 250 events on clay often drift toward the pre-match favourite by 5–8% once the first set is completed, particularly when the underdog is a lower-ranked player with limited recent form. Collignon’s 56% chance aligns with similar matchups where the favourite holds a modest edge but faces a capable opponent capable of shifting momentum early. In comparable Gstaad quarterfinals over the past five years, the pre-match favourite has won 68% of the time, suggesting the current 56% may be slightly conservative given the surface and draw dynamics [1].

Traders should monitor the first-set outcome and any pre-match weather updates, as Gstaad’s mountain venue can experience sudden rain delays that disrupt rhythm. The match’s resolution depends entirely on completion before 24 July; any delay beyond seven days without a winner triggers a 50-50 settlement. Dimers’ model, which powers the 56% figure, incorporates surface-specific win rates and recent head-to-head performance, making it the primary catalyst for the market’s current lean [3].

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page tracks Swiss Open: Raphael Collignon vs Valentin Vacherot 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

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.