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 26, 4:05 AM EST
Polymarket
This market refers to the tennis match between Aditi Rawat and Amodini Naik in the W15 Singapore, Qualifying, originally scheduled for October 25, 2026 at 11:00PM ET. This market will resolve to 'Aditi Rawat' if Aditi Rawat advances against Amodini Naik. This market will resolve to 'Amodini Naik' if Amodini Naik advances against Aditi Rawat. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 8, 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 Aditi Rawat and Amodini Naik in the W15 Singapore, Qualifying, originally scheduled for October 25, 2026 at 11:00PM ET. This market will resolve to 'Aditi Rawat' if Aditi Rawat advances against Amodini Naik. This market will resolve to 'Amodini Naik' if Amodini Naik advances against Aditi Rawat. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 8, 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.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert opinions, while this market allows anyone to express their belief, potentially leading to a more accurate forecast. If there's a significant discrepancy, it might indicate that the crowd perceives information differently than the sportsbook, or that one venue has identified a mispricing. It’s useful to compare both to form a well-rounded view of the likely outcome.
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 these shares fluctuates based on supply and demand, effectively creating a probability estimate. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The closer the match gets, the more responsive the price will be to new information and shifts in sentiment. This dynamic pricing reflects the collective intelligence of the traders participating in the market, and can change rapidly as new information becomes available.
This market resolves around Nov 2, 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 Aditi Rawat vs Amodini Naik tennis match in Singapore. Any official result published by the tournament organizers will be used to determine the winning outcome. Traders will be able to claim their winnings once the result is confirmed and the market is settled on Polymarket.
Several factors could influence this market before the match concludes. Any news regarding player injuries, changes in playing conditions, or even updated rankings could cause shifts in the odds. Unexpected weather forecasts impacting the match schedule could also be a catalyst. Furthermore, major upsets in other related tennis matches might influence perceptions of player form and confidence, leading to adjustments in trading activity and ultimately, the price of shares in this market. Monitoring these signals is key to understanding potential movements.