TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 18, 7:30 AM EST
Polymarket
This event group covers a professional tennis match between Federico Cina and Patrick Zahraj in the 2026 ATP Gstaad Swiss Open Qualification Round 1, scheduled for July 11, 2026 at 7:30 AM ET. Markets track both the match outcome (who advances) and whether the match is completed under normal play rules.
This market refers to the tennis match between Federico Cina and Patrick Zahraj in the Swiss Open, Qualification, originally scheduled for July 11, 2026 at 7:30AM ET. This market will resolve to 'Federico Cina' if Federico Cina advances against Patrick Zahraj. This market will resolve to 'Patrick Zahraj' if Patrick Zahraj advances against Federico Cina. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the ATP Tour. A consensus of credible reporting may also be used.
The market resolves based on which player wins set 2 in the Federico Cina vs Patrick Zahraj match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at Fair Market Price at the Exchange's discretion.
Prediction markets and sportsbooks price outcomes differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on trader consensus to discover prices. This market reflects what traders believe will happen, not what a bookmaker needs to charge to stay neutral. Prediction market odds often move faster and can diverge from sportsbook lines during high-conviction trading. For this qualifier, comparing this market's odds to major sportsbooks can reveal where public opinion and professional oddsmakers diverge most sharply.
Polymarket and Kalshi may price this qualifier differently due to variations in trader composition, liquidity depth, and market microstructure. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different user bases with distinct risk tolerances and information sets, so pricing can lag or lead depending on which venue sees fresh order flow first. Liquidity imbalances also matter: a platform with deeper order books may show tighter spreads and faster price discovery. Additionally, platform-specific rules around trading hours or settlement timing can create temporary arbitrage windows. Monitoring both venues helps you spot when one is pricing the match more efficiently than the other.