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, 5:27 PM EST
Polymarket
This market refers to the tennis match between Tanisha Kashyap and Nourhan Amgad in the W15 Sharm ElSheikh, Qualifying, originally scheduled for October 26, 2026 at 3:30AM ET. This market will resolve to 'Tanisha Kashyap' if Tanisha Kashyap advances against Nourhan Amgad. This market will resolve to 'Nourhan Amgad' if Nourhan Amgad advances against Tanisha Kashyap. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Tanisha Kashyap and Nourhan Amgad in the W15 Sharm ElSheikh, Qualifying, originally scheduled for October 26, 2026 at 3:30AM ET. This market will resolve to 'Tanisha Kashyap' if Tanisha Kashyap advances against Nourhan Amgad. This market will resolve to 'Nourhan Amgad' if Nourhan Amgad advances against Tanisha Kashyap. 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Often, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks may initially set lines based on power rankings or expert analysis, while this market allows anyone to trade on their beliefs. If a significant number of traders believe a sportsbook is undervaluing a player, they can buy 'yes' shares, driving up the price and potentially signaling a different expectation than traditional betting venues. It's common to see discrepancies, especially before a lot of real-world information becomes available.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in the probability of each outcome. As more shares are traded, the price adjusts to reflect the collective sentiment. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a 'yes' share indicates the probability that Tanisha Kashyap will win, while the price of a 'no' share reflects the probability of Nourhan Amgad winning. The closer the price is to 100, the more confident traders are in that outcome.
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 Sharm ElSheikh tennis match between Tanisha Kashyap and Nourhan Amgad. The platform will verify the winner based on publicly available sources, such as official tournament websites or sports news outlets. The outcome will determine which shares pay out 100 tokens and which pay out 0 tokens.
Several factors could influence trading activity in this market. Any news regarding player form, injuries, or changes to playing conditions could shift expectations. For example, if reports emerge that Tanisha Kashyap is unwell, the price of 'no' shares (Nourhan Amgad winning) would likely increase. Similarly, strong performances in preceding matches or favorable head-to-head records could boost confidence in a particular player, impacting the market price. General tennis news and analysis could also play a role in moving this market.