TOTAL VOLUME:
$154.8b
24H VOL:
$260,393,102
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,894,304,386
408,643
Markets across
39,771
events
MATCHED EVENTS:
4,493
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 6:16 AM EST
Polymarket
This market refers to the tennis match between Kaitlin Quevedo and Jil Teichmann in the Guangzhou Open, originally scheduled for October 30, 2026 at 2:30AM ET. This market will resolve to 'Kaitlin Quevedo' if Kaitlin Quevedo advances against Jil Teichmann. This market will resolve to 'Jil Teichmann' if Jil Teichmann advances against Kaitlin Quevedo. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 13, 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 Kaitlin Quevedo and Jil Teichmann in the Guangzhou Open, originally scheduled for October 30, 2026 at 2:30AM ET. This market will resolve to 'Kaitlin Quevedo' if Kaitlin Quevedo advances against Jil Teichmann. This market will resolve to 'Jil Teichmann' if Jil Teichmann advances against Kaitlin Quevedo. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 13, 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 initial lines based on their own models and risk assessment, while this market evolves as individuals trade based on their own research and insights. It’s common to see discrepancies between the two, especially as new information emerges or public sentiment shifts. Comparing the odds can be a useful exercise for informed decision-making, but remember that each represents a distinct form of forecasting.
On Polymarket, this market is priced through a continuous trading mechanism where participants buy and sell shares representing their belief in the outcome. The price of these shares directly reflects 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 an outcome is likely, the higher the share price will rise, and vice versa. This creates a dynamic pricing system that adjusts in real-time based on supply and demand, offering a unique view of expectations for the Guangzhou Open match.
This market resolves around Nov 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 Guangzhou Open match between Kaitlin Quevedo and Jil Teichmann, as reported by a recognized sports authority. The platform will verify the result against these sources to determine which outcome corresponds to the actual event result. Traders holding shares in the winning outcome will be entitled to a payout based on the final market price.
Several factors could influence trading activity in this market before the match concludes. Any news regarding player injuries, changes in playing conditions, or significant shifts in player form could impact the perceived probabilities. Unexpected announcements about player strategies or team dynamics might also cause movement. Furthermore, large trading volume from informed participants could signal new information or a change in sentiment, potentially leading to price fluctuations. Monitoring these signals can help you understand the evolving dynamics of this market.