TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 20, 7:42 PM EST
Polymarket
This market refers to the table tennis match between Pavlik Adam and Kalensky Stepan in Setka Cup Czechia Men, scheduled for October 20 at 5:10PM ET. This market will resolve to 'Pavlik Adam' if Pavlik Adam wins against Kalensky Stepan. This market will resolve to 'Kalensky Stepan' if Kalensky Stepan wins against Pavlik Adam. 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 Pavlik Adam and Kalensky Stepan in Setka Cup Czechia Men, scheduled for October 20 at 5:10PM ET. This market will resolve to 'Pavlik Adam' if Pavlik Adam wins against Kalensky Stepan. This market will resolve to 'Kalensky Stepan' if Kalensky Stepan wins against Pavlik Adam. 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 implied probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people trade, the price adjusts to reflect the collective forecast. The market's efficiency depends on the participation and information available to traders, and the current price reflects the aggregated view of those participating in this specific market.
This market resolves around Oct 27, 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 Adam vs. Kalensky match, as reported by recognized sports authorities. The platform will verify the result against these sources to determine which outcome will be declared the winner. Traders who held shares in the winning outcome will be paid out according to the final market price at resolution.
Several factors could influence trading activity in this market before Oct 27, 2026. Any news regarding player injuries, changes in training regimens, or tactical adjustments could shift expectations and impact the odds. Unexpected announcements about the match schedule or venue could also create volatility. Furthermore, public sentiment, reflected in media coverage and social media discussions, can influence trader behavior and drive price movements. Monitoring these signals can help you understand potential shifts in the market's forecast.