TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 19, 11:38 AM EST
Polymarket
This market refers to the tennis match between Carolina Cicu and Barbara Dessolis in the W35 Santa Margherita di Pula, Qualifying, originally scheduled for October 19, 2026 at 6:00AM ET. This market will resolve to 'Carolina Cicu' if Carolina Cicu advances against Barbara Dessolis. This market will resolve to 'Barbara Dessolis' if Barbara Dessolis advances against Carolina Cicu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 2, 2026, 11:59 PM ET (14 days after the scheduled start), 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 Carolina Cicu and Barbara Dessolis in the W35 Santa Margherita di Pula, Qualifying, originally scheduled for October 19, 2026 at 6:00AM ET. This market will resolve to 'Carolina Cicu' if Carolina Cicu advances against Barbara Dessolis. This market will resolve to 'Barbara Dessolis' if Barbara Dessolis advances against Carolina Cicu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 2, 2026, 11:59 PM ET (14 days after the scheduled start), 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.
Currently, prediction market odds often reflect a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while this market relies on the collective wisdom of traders. Discrepancies can arise from differing information, biases, or risk assessments. If sportsbooks heavily favor one player, but traders believe the match is closer, the odds on Polymarket will reflect that belief. Comparing these odds provides a fascinating insight into how different groups evaluate the potential outcomes.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe a particular outcome will happen, the higher the price of its corresponding shares will rise. This dynamic pricing reflects the aggregated predictions of all traders on the platform.
This market resolves around Oct 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Cicu vs Dessolis match will be used to determine the winning outcome. The platform will rely on official results and widely accepted sources to verify the final result. Traders holding shares in the winning outcome will be entitled to a payout, while those holding shares in the losing outcome will not.
Several signals could influence this market before resolution. Any news regarding player form, injuries, or changes in coaching strategy could significantly shift trader sentiment. Unexpected announcements about match conditions or venue changes could also impact the odds. Furthermore, major shifts in public opinion, perhaps driven by expert analysis or social media trends, could lead to increased trading volume and price fluctuations in this market. Monitoring these factors will be key to understanding potential movements.