TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 3:46 AM EST
Polymarket
This market refers to the tennis match between Tatiana Prozorova and Joanna Garland in the Guangzhou Open, Qualification, originally scheduled for October 25, 2026 at 1:00AM ET. This market will resolve to 'Tatiana Prozorova' if Tatiana Prozorova advances against Joanna Garland. This market will resolve to 'Joanna Garland' if Joanna Garland advances against Tatiana Prozorova. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 8, 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 WTA Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Tatiana Prozorova and Joanna Garland in the Guangzhou Open, Qualification, originally scheduled for October 25, 2026 at 1:00AM ET. This market will resolve to 'Tatiana Prozorova' if Tatiana Prozorova advances against Joanna Garland. This market will resolve to 'Joanna Garland' if Joanna Garland advances against Tatiana Prozorova. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 8, 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 WTA Tour. A consensus of credible reporting may also be used.
Typically, prediction market odds reflect a wisdom-of-the-crowd approach, often differing from initial sportsbook odds which are set by analysts. Sportsbooks may incorporate factors like public bias or promotional considerations, while this market aggregates the views of many individual traders. If there’s a significant discrepancy, it could indicate that the market believes the sportsbook is mispricing the probability of a particular outcome. It’s common to see convergence as the event approaches, with both sets of odds becoming more aligned as more information becomes available.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the likelihood of a specific outcome. The price of these shares directly reflects the implied probability of that outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe a particular player will win, the higher the price of shares representing that outcome will rise, and vice versa. This dynamic pricing ensures the market reflects the collective intelligence of all participants.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Guangzhou Open qualification match between Tatiana Prozorova and Joanna Garland, as reported by an official tournament source. The player who wins the match will determine the winning outcome in this market. The platform will verify the result against reliable sources to ensure an accurate and fair settlement.
Several factors could influence the price movement of this market. News regarding player form, such as injury updates or recent match results, would likely have a significant impact. Any changes in public perception, perhaps driven by expert analysis or social media discussion, could also shift the odds. Unexpected weather conditions at the tournament venue, or even a change in playing surface, could also be catalysts. Ultimately, any information that alters the perceived probability of either player winning could cause trading activity and move this market.