Swiss Open: Raphael Collignon vs Timofey Skatov

Platform comparison

Market context

Raphael Collignon faces Timofey Skatov in the opening round of the ATP Swiss Open Gstaad, with the match scheduled to begin at Court 1 in Gstaad, Switzerland on 13 July 2026 [2]. The market currently implies a 53% probability that Collignon advances, reflecting a narrow edge despite Skatov holding a 1–0 head-to-head advantage from a previous semifinal encounter [4].

Historical data from comparable ATP first-round matchups involving players with similar win-loss records suggests that a 53% implied probability often aligns with outcomes where the favourite wins in straight sets, particularly when the head-to-head record is minimal [4]. In past Gstaad tournaments, players with a 71% season win rate like Skatov (29–12 in 2026) have frequently overturned slight underdog status when facing opponents with lower recent form, though Collignon’s strong surface performance on Swiss clay often stabilises such probabilities [1][6].

Traders should monitor the official start time confirmation, as delays beyond 12:00 pm local time could shift liquidity toward the 50–50 cancellation clause if weather disrupts play [1]. Key catalysts include any pre-match injury reports from either player’s camp and the outcome of the first set, where Skatov’s tendency to dominate early (evidenced by his 6–4 first-set win in their prior meeting) could quickly alter the market’s trajectory [4]. No major campaign-finance or polling movements apply here, as this is a pure sports event; the primary driver remains real-time match performance and surface-specific form.

Sources: 1 · 2 · 3 · 4 · 5

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: Raphael Collignon vs Timofey Skatov 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

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.

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.

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.

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.