TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
This market refers to the tennis match between Ksenia Zaytseva and Storm Hunter in the China Open, Qualification, originally scheduled for September 28, 2026 at 11:00PM ET. This market will resolve to 'Ksenia Zaytseva' if Ksenia Zaytseva advances against Storm Hunter. This market will resolve to 'Storm Hunter' if Storm Hunter advances against Ksenia Zaytseva. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 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 Ksenia Zaytseva and Storm Hunter in the China Open, Qualification, originally scheduled for September 28, 2026 at 11:00PM ET. This market will resolve to 'Ksenia Zaytseva' if Ksenia Zaytseva advances against Storm Hunter. This market will resolve to 'Storm Hunter' if Storm Hunter advances against Ksenia Zaytseva. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 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 traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market incorporates a broader range of information and opinions. It's common to see discrepancies between the two, especially early in the market's lifecycle, as prediction markets can quickly adjust to new information or changing sentiment. Examining these differences can be insightful when evaluating the potential outcome.
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 these shares directly reflects 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 traders participate, the price converges towards what the market collectively believes is the true probability. The current price is determined by the forces of supply and demand, with buyers driving the price up and sellers driving it down. This dynamic pricing ensures the market remains responsive to new information.
This market resolves around Oct 6, 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 China Open qualification match between Ksenia Zaytseva and Storm Hunter. The platform will rely on widely available and trusted sources to determine the winner, ensuring a fair and accurate settlement. Traders will then be able to claim their winnings or adjust their strategies for future markets.
Several factors could influence the price of this market before resolution. Any news regarding player form, injuries, or changes in playing conditions could significantly shift trader sentiment. Unexpected upsets in other matches within the China Open could also affect perceptions of the players' chances. Furthermore, major shifts in public opinion, reflected in social media or expert analysis, could lead to increased trading volume and price movement. Monitoring these signals will be key to understanding how this market evolves.