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: Nov 1, 6:30 PM EST
Polymarket
This market refers to the tennis match between Liana Cammilleri and Klara Blazkova in the W35 Liberec, Qualifying, originally scheduled for November 1, 2026 at 8:00AM ET. This market will resolve to 'Liana Cammilleri' if Liana Cammilleri advances against Klara Blazkova. This market will resolve to 'Klara Blazkova' if Klara Blazkova advances against Liana Cammilleri. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 15, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Liana Cammilleri and Klara Blazkova in the W35 Liberec, Qualifying, originally scheduled for November 1, 2026 at 8:00AM ET. This market will resolve to 'Liana Cammilleri' if Liana Cammilleri advances against Klara Blazkova. This market will resolve to 'Klara Blazkova' if Klara Blazkova advances against Liana Cammilleri. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 15, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief about the outcome of the Liberec tennis match. The price of a share directly reflects 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. As more traders participate and new information becomes available, the price of shares will adjust accordingly, providing a real-time assessment of the likely winner. The current implied probability of a particular player winning is reflected in the share price.
This market resolves around Nov 8, 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 Liberec tennis match between Liana Cammilleri and Klara Blazkova. The player who wins the match, as determined by the official tournament organizers, will be declared the winner of this market. Any potential delays or disputes will be handled according to Polymarket’s standard procedures for event resolution.
Several factors could influence the price of shares in this market before the Liberec tennis match takes place. Any news regarding player injuries, changes in playing conditions, or updated rankings could shift the perceived probabilities. Unexpected upsets in other matches leading up to this one might also impact the market, as traders adjust their expectations. Furthermore, large trades on Polymarket could cause significant price movements, especially if they represent a strong conviction about a particular outcome. Monitoring these signals can help you understand how the market is reacting to new information.