TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 7:13 AM EST
Polymarket
This market refers to the table tennis match between Kuksa Zdenek and Merkl Roman in Setka Cup Czechia Men, scheduled for October 31 at 5:00AM ET. This market will resolve to 'Kuksa Zdenek' if Kuksa Zdenek wins against Merkl Roman. This market will resolve to 'Merkl Roman' if Merkl Roman wins against Kuksa Zdenek. 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 for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
This market refers to the table tennis match between Kuksa Zdenek and Merkl Roman in Setka Cup Czechia Men, scheduled for October 31 at 5:00AM ET. This market will resolve to 'Kuksa Zdenek' if Kuksa Zdenek wins against Merkl Roman. This market will resolve to 'Merkl Roman' if Merkl Roman wins against Kuksa Zdenek. 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 for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in the outcome of the Kuksa vs. Merkl match. The price of these shares reflects the implied probability of that outcome. As more traders participate, the price adjusts to represent the collective assessment. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market's liquidity and volume influence how quickly prices respond to new information or shifts in sentiment. Essentially, the price of a share indicates how much it costs to bet on a particular result.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Kuksa vs. Merkl match, as reported by the governing body or official sources for the sport. Traders will then be paid out based on whether their shares correspond to the winning outcome. The platform will verify the result and distribute funds accordingly, ensuring a transparent and accurate resolution process.
Several signals or events could significantly move this market before Nov 7, 2026. Any news regarding player form, injuries, or changes in strategy for either Kuksa Zdenek or Merkl Roman would likely impact trading activity. Unexpected announcements about match conditions, referee assignments, or even weather forecasts (if applicable) could also cause shifts in the odds. Public sentiment, as reflected in social media or expert analysis, can also influence trader behavior and drive price fluctuations. Monitoring these factors can provide insights into potential market movements.