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 8, 11:40 AM EST
Polymarket
This market refers to the doubles tennis match between Errani/Paolini and Dabrowski/Stefani in the China Open, originally scheduled for October 8, 2026 at 8:30AM ET. This market will resolve to 'Errani/Paolini' if the team of Errani/Paolini advances against Dabrowski/Stefani. This market will resolve to 'Dabrowski/Stefani' if the team of Dabrowski/Stefani advances against Errani/Paolini. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 22, 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 team advances due to the opponent's retirement, default, or disqualification, this market will resolve to the team who advances. If the match ends in a walkover (a team 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 doubles tennis match between Errani/Paolini and Dabrowski/Stefani in the China Open, originally scheduled for October 8, 2026 at 8:30AM ET. This market will resolve to 'Errani/Paolini' if the team of Errani/Paolini advances against Dabrowski/Stefani. This market will resolve to 'Dabrowski/Stefani' if the team of Dabrowski/Stefani advances against Errani/Paolini. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 22, 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 team advances due to the opponent's retirement, default, or disqualification, this market will resolve to the team who advances. If the match ends in a walkover (a team 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.
Currently, prediction market odds often reflect a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on team rankings and historical data, but this market allows for more dynamic adjustments based on a wider range of information and participant opinions. Discrepancies can arise from differing assessments of player form, potential upsets, or even external factors influencing the match. It's common to see prediction markets incorporate news and analysis more rapidly than sportsbooks, potentially leading to different probabilities being assigned to the same event outcome.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the likelihood of Errani/Paolini winning. The price of these shares directly reflects the implied probability of that outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the price adjusts to represent the collective wisdom of the crowd. The current price indicates what traders, as a group, believe is the fair chance of this specific result happening in the China Open doubles match.
This market resolves around Oct 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the China Open doubles match between Errani/Paolini and Dabrowski/Stefani, as declared by the tournament organizers. The winning team, as officially announced, will determine the outcome of this market. The platform will verify the results against trusted sources to ensure accuracy and transparency in the resolution process.
Several factors could significantly influence this market before the match takes place. Any news regarding player injuries or changes in team composition would likely cause movement. Updates on playing conditions, such as weather forecasts impacting the match schedule, could also shift the odds. Furthermore, significant shifts in public opinion, perhaps driven by expert analysis or unexpected practice results, could impact trading activity and therefore the price of shares in this market. Unexpected upsets in earlier rounds of the tournament could also indirectly affect the perceived chances of each team.