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 26, 12:53 AM EST
Polymarket
This market refers to the tennis match between Panna Udvardy and Sinja Kraus in the Guangzhou Open, originally scheduled for October 26, 2026 at 10:00PM ET. This market will resolve to 'Panna Udvardy' if Panna Udvardy advances against Sinja Kraus. This market will resolve to 'Sinja Kraus' if Sinja Kraus advances against Panna Udvardy. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 9, 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 WTA Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Panna Udvardy and Sinja Kraus in the Guangzhou Open, originally scheduled for October 26, 2026 at 10:00PM ET. This market will resolve to 'Panna Udvardy' if Panna Udvardy advances against Sinja Kraus. This market will resolve to 'Sinja Kraus' if Sinja Kraus advances against Panna Udvardy. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 9, 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 WTA Tour. A consensus of credible reporting may also be used.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on expert analysis and incorporate a profit margin, while this market allows anyone to trade on their beliefs. If a significant discrepancy emerges between this market and sportsbook odds, it may indicate that the crowd perceives a different probability of a particular outcome than the bookmakers. It’s common to see convergence as the event approaches, with both reflecting updated information and sentiment.
On Polymarket, this market is priced through a continuous, decentralized exchange where traders buy and sell shares representing different outcomes. The price of each share directly reflects the market’s implied probability of that outcome occurring. As more traders buy shares in a particular outcome, its price increases, and the implied probability rises. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is determined solely by supply and demand among traders on Polymarket, creating a dynamic and responsive reflection of collective belief about the Udvardy vs Kraus match.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Udvardy vs Kraus match as declared by the official tournament organizers. The market will then settle, and traders will receive payouts based on the final outcome and their holdings in the corresponding shares. The precise timing of the resolution may vary slightly depending on the speed of official result publication.
Several factors could influence trading activity and move this market before the match takes place. Any news regarding player form, injuries to either Panna Udvardy or Sinja Kraus, or changes in playing conditions could all impact trader sentiment. Unexpected announcements about coaching changes or strategic shifts could also play a role. Furthermore, general shifts in public opinion, reflected in polls or expert analyses, could influence trading behavior and lead to price adjustments in this market.