TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 26, 6:32 AM EST
Polymarket
This market refers to the table tennis match between Moulis Pavel and Krutina Lukas in Setka Cup Czechia Men, scheduled for October 26 at 4:00AM ET. This market will resolve to 'Moulis Pavel' if Moulis Pavel wins against Krutina Lukas. This market will resolve to 'Krutina Lukas' if Krutina Lukas wins against Moulis Pavel. 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 Moulis Pavel and Krutina Lukas in Setka Cup Czechia Men, scheduled for October 26 at 4:00AM ET. This market will resolve to 'Moulis Pavel' if Moulis Pavel wins against Krutina Lukas. This market will resolve to 'Krutina Lukas' if Krutina Lukas wins against Moulis Pavel. 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 reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy shares in a particular outcome, its price increases, and vice versa. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s efficiency stems from the fact that traders are incentivized to accurately assess the probability of the event to profit from correct predictions.
This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Pavel vs. Krutina match will be used to determine the winning outcome in this market. Resolution will be based on the officially recorded result of the match, as reported by a trusted sports authority. The platform will verify the outcome against these sources to ensure an accurate and transparent settlement process for all participants.
Several factors could influence the price action in this market leading up to Nov 2, 2026. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift trader sentiment. Unexpected announcements about either Pavel or Krutina's form or fitness would likely cause significant movement. Public polls or expert predictions, while not directly impacting the market, could also influence trader behavior. Monitoring these signals will be key to understanding potential shifts in the probabilities reflected in this market.