TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 1:41 AM EST
Polymarket
This market refers to the tennis match between Daria KHOMUTSIANSKAYA and Sijia Wei in the W15 Shenzhen, Main Draw, originally scheduled for October 17, 2026 at 10:00PM ET. This market will resolve to 'Daria KHOMUTSIANSKAYA' if Daria KHOMUTSIANSKAYA advances against Sijia Wei. This market will resolve to 'Sijia Wei' if Sijia Wei advances against Daria KHOMUTSIANSKAYA. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 31, 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 Daria KHOMUTSIANSKAYA and Sijia Wei in the W15 Shenzhen, Main Draw, originally scheduled for October 17, 2026 at 10:00PM ET. This market will resolve to 'Daria KHOMUTSIANSKAYA' if Daria KHOMUTSIANSKAYA advances against Sijia Wei. This market will resolve to 'Sijia Wei' if Sijia Wei advances against Daria KHOMUTSIANSKAYA. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 31, 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.
Generally, prediction market odds often reflect a wisdom-of-the-crowd effect, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market relies on the collective predictions of traders. If a significant discrepancy emerges between this market and sportsbook odds, it could indicate that traders possess information or insights not fully incorporated into the sportsbook’s assessment. It’s important to note that both represent probabilities, but are derived through different mechanisms.
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 more traders who believe a particular player will win, the higher the price of shares representing that outcome will climb, and vice versa. This dynamic pricing ensures the market reflects the aggregated intelligence of all traders.
This market resolves around Oct 25, 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 Shenzhen tennis match between Daria KHOMUTSIANSKAYA and Sijia Wei. The platform will verify the winner against widely available and reliable sources to ensure an accurate and transparent outcome. Traders will then be able to claim their winnings or adjust their strategies based on the final result.
Several factors could influence the price movement of this market. News regarding player injuries, changes in playing conditions, or even updated rankings could all shift trader sentiment. Unexpected results in other matches involving these players, or even broader trends in women’s tennis, might also play a role. Any information that alters the perceived probability of either player winning is likely to cause fluctuations in the market, as traders adjust their positions accordingly. Monitoring these signals is key to understanding potential shifts.