TOTAL VOLUME:
$147.7b
24H VOL:
$131,901,170
24H TRANSACTIONS:
2,799,919,006
OPEN INTEREST:
$1,774,922,189
501,089
Markets across
37,703
events
MATCHED EVENTS:
2,845
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
This market refers to the table tennis match between Akopyan Artur and Müller Patrik in Setka Cup Czechia Men, scheduled for October 22 at 9:05AM ET. This market will resolve to 'Akopyan Artur' if Akopyan Artur wins against Müller Patrik. This market will resolve to 'Müller Patrik' if Müller Patrik wins against Akopyan Artur. 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 Akopyan Artur and Müller Patrik in Setka Cup Czechia Men, scheduled for October 22 at 9:05AM ET. This market will resolve to 'Akopyan Artur' if Akopyan Artur wins against Müller Patrik. This market will resolve to 'Müller Patrik' if Müller Patrik wins against Akopyan Artur. 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 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 shares bought for a particular outcome, the higher its price rises, reflecting increased confidence. This dynamic pricing ensures that the market efficiently aggregates information and provides a real-time assessment of the event’s potential results.
This market resolves around Oct 29, 2026, with the outcome confirmed once the result of the Akopyan vs. Müller match is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing body of the sport. Traders will then be able to claim their winnings based on the final outcome. It’s important to monitor official sources as the event approaches to understand the specific criteria used to determine the winner of the match.
Several factors could significantly influence this market before Oct 29, 2026. Any news regarding injuries to either Akopyan or Müller would likely cause a shift in the odds. Changes in rankings, recent performance in other matches, or even weather conditions (if the match is outdoors) could also impact trader sentiment. Public statements from coaches or players, or even significant betting activity from informed individuals, could all serve as catalysts for price movement in this market. Monitoring these signals is key to understanding potential shifts in the prediction landscape.