TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 7, 12:26 AM EST
Polymarket
This market refers to the tennis match between Rebecca Sramkova and Claire Liu in the Suzhou, originally scheduled for October 6, 2026 at 10:00PM ET. This market will resolve to 'Rebecca Sramkova' if Rebecca Sramkova advances against Claire Liu. This market will resolve to 'Claire Liu' if Claire Liu advances against Rebecca Sramkova. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 20, 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 Rebecca Sramkova and Claire Liu in the Suzhou, originally scheduled for October 6, 2026 at 10:00PM ET. This market will resolve to 'Rebecca Sramkova' if Rebecca Sramkova advances against Claire Liu. This market will resolve to 'Claire Liu' if Claire Liu advances against Rebecca Sramkova. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 20, 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.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market represents the aggregated predictions of individuals trading on Polymarket. It’s common to see discrepancies, especially when public opinion strongly diverges from the sportsbook’s initial assessment. Examining these differences can reveal insights into where the crowd believes the value lies in this match.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the outcome of the Sramkova vs Liu match. The price of these shares directly reflects the implied probability of each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the market collectively believes is the true probability. This dynamic pricing ensures that the market remains responsive to new information and changing perceptions.
This market resolves around Oct 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Sramkova vs Liu match as reported by a recognized tennis authority. The platform will verify the result against these sources to determine which outcome is the winner. Traders holding shares in the winning outcome will be paid out according to the final market price at resolution.
Several factors could influence the price of this market before Oct 14, 2026. Any news regarding player form, injuries, or changes in playing conditions could significantly shift perceptions. Unexpected results in other matches involving either player might also impact confidence levels. Furthermore, major shifts in public opinion, perhaps driven by expert analysis or social media discussion, could lead to increased trading volume and price adjustments in this market.