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24H VOL:
$134,145,987
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2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 20, 5:15 AM EST
Polymarket
This market refers to the tennis match between Ruth Roura Llaverias and Marta Soriano Santiago in the ITF Women Madrid, originally scheduled for June 13, 2026 at 5:15AM ET. This market will resolve to 'Ruth Roura Llaverias' if Ruth Roura Llaverias advances against Marta Soriano Santiago. This market will resolve to 'Marta Soriano Santiago' if Marta Soriano Santiago advances against Ruth Roura Llaverias. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Ruth Roura Llaverias and Marta Soriano Santiago in the ITF Women Madrid, originally scheduled for June 13, 2026 at 5:15AM ET. This market will resolve to 'Ruth Roura Llaverias' if Ruth Roura Llaverias advances against Marta Soriano Santiago. This market will resolve to 'Marta Soriano Santiago' if Marta Soriano Santiago advances against Ruth Roura Llaverias. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate decentralized trader beliefs in real time. This market may show higher or lower implied probabilities than traditional sportsbooks, depending on which venue's participants have fresher information or stronger conviction. Comparing the two can reveal where smart money is positioning itself.
On Polymarket, traders set the odds by buying and selling shares that represent each possible outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective belief about that outcome's likelihood, with the total across all outcomes always summing to 100 percent. As new information emerges—player form, injury reports, or head-to-head history—traders adjust their positions, moving the price up or down. This continuous price discovery mechanism ensures the market stays responsive to changing conditions.
This market resolves around Jun 20, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome will reflect the official winner of the ITF Madrid match between these two players. Until that point, traders can continue to buy and sell shares as new developments unfold, allowing the market price to adjust based on the latest information and sentiment.
Several factors could shift this market significantly before resolution. Recent tournament performance, head-to-head records, and player rankings are key indicators traders monitor. Injury announcements or withdrawal news would trigger sharp repricing. Court conditions, weather forecasts, and draw positioning also influence expectations. Media coverage highlighting one player's form or momentum can sway sentiment. Additionally, live trading during the match itself—if enabled—would reflect real-time performance, with each set or break potentially moving odds substantially.