TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 7, 4:40 AM EST
Polymarket
This market refers to the tennis match between Vaishnavi Adkar and Ying Zhang in the W50 Guiyang, Qualifying, originally scheduled for September 7, 2026 at 12:00AM ET. This market will resolve to 'Vaishnavi Adkar' if Vaishnavi Adkar advances against Ying Zhang. This market will resolve to 'Ying Zhang' if Ying Zhang advances against Vaishnavi Adkar. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 21, 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 Vaishnavi Adkar and Ying Zhang in the W50 Guiyang, Qualifying, originally scheduled for September 7, 2026 at 12:00AM ET. This market will resolve to 'Vaishnavi Adkar' if Vaishnavi Adkar advances against Ying Zhang. This market will resolve to 'Ying Zhang' if Ying Zhang advances against Vaishnavi Adkar. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 21, 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.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and risk management, while this market aggregates the views of many individuals. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the players’ form and potential. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges closer to the match.
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 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. The price fluctuates based on supply and demand; if more people believe Vaishnavi Adkar will win, the price of shares representing her victory will increase, and vice versa. This dynamic pricing ensures the market reflects the most up-to-date collective prediction.
This market resolves around Sep 14, 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 Guiyang W50 tennis match between Vaishnavi Adkar and Ying Zhang. The platform will verify the match result against official tournament data to determine the winning player. This ensures a transparent and objective resolution process, reflecting the actual outcome of the competition.
Several factors could influence trading activity in this market. Any news regarding player injuries, changes in playing conditions, or updates on their recent performance could shift expectations. Unexpected results in other matches involving these players, or even broader trends in the tennis world, might also impact the odds. Furthermore, large trades by influential market participants could create short-term price movements. Monitoring tennis news and observing trading volume on Polymarket can provide insights into potential catalysts.