TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 27, 6:38 AM EST
Polymarket
This market refers to the tennis match between Linang Xiao and Jie Cui in the Ningbo, originally scheduled for October 26, 2026 at 10:00PM ET. This market will resolve to 'Linang Xiao' if Linang Xiao advances against Jie Cui. This market will resolve to 'Jie Cui' if Jie Cui advances against Linang Xiao. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 9, 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 ATP Tour. A consensus of credible reporting may also be used.
This market refers to the tennis match between Linang Xiao and Jie Cui in the Ningbo, originally scheduled for October 26, 2026 at 10:00PM ET. This market will resolve to 'Linang Xiao' if Linang Xiao advances against Jie Cui. This market will resolve to 'Jie Cui' if Jie Cui advances against Linang Xiao. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 9, 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 ATP Tour. A consensus of credible reporting may also be used.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Discrepancies can arise due to differing information, biases, or simply the varying motivations of participants. It’s common to see prediction markets move independently of sportsbook odds, especially as new information emerges.
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 implied probability of that outcome occurring. As more traders participate, the price adjusts to reflect the collective assessment. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the aggregate sentiment of those trading on Polymarket regarding the likelihood of a particular result in the Linang Xiao vs Jie Cui match.
This market resolves around Nov 3, 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 Linang Xiao vs Jie Cui match as reported by a recognized sports authority. Traders will then be able to claim their winnings or adjust their positions based on the settled outcome. The platform will verify the result against publicly available information to ensure accuracy and fairness.
Several factors could influence trading activity in this market leading up to Nov 3, 2026. Any news regarding player injuries, changes in match conditions, or updated performance statistics for Linang Xiao or Jie Cui could shift trader sentiment. Unexpected announcements about team strategies or coaching decisions might also play a role. Furthermore, large trading volumes from informed participants could signal new information or a change in market expectations, causing the odds to adjust accordingly.