TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 4:18 AM EST
Polymarket
This market refers to the tennis match between Sofia Kenin and Kamilla Rakhimova in the Wuhan Tennis Open, Qualification, originally scheduled for October 10, 2026 at 12:30AM ET. This market will resolve to 'Sofia Kenin' if Sofia Kenin advances against Kamilla Rakhimova. This market will resolve to 'Kamilla Rakhimova' if Kamilla Rakhimova advances against Sofia Kenin. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 24, 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 Sofia Kenin and Kamilla Rakhimova in the Wuhan Tennis Open, Qualification, originally scheduled for October 10, 2026 at 12:30AM ET. This market will resolve to 'Sofia Kenin' if Sofia Kenin advances against Kamilla Rakhimova. This market will resolve to 'Kamilla Rakhimova' if Kamilla Rakhimova advances against Sofia Kenin. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 24, 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.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to express their own independent assessments of the likely outcome. If a significant discrepancy exists between this market and sportsbook odds, it could indicate that the crowd believes the sportsbook has mispriced the event. It’s common to see prediction markets outperform traditional odds-makers, especially when there's strong public interest or access to specialized information.
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 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 Sofia Kenin will win, the higher the price of shares representing her victory will climb, and vice versa for Kamilla Rakhimova. This dynamic pricing reflects the collective intelligence of the traders on the platform.
This market resolves around Oct 17, 2026, with the outcome confirmed once the result of the Kenin vs Rakhimova match is verifiable from credible public reporting. The resolution will be based on the official result declared by the tournament organizers. The winner of the match, as officially recorded, will determine which outcome resolves positively. Traders holding shares in the winning outcome will receive a payout, while those holding shares in the losing outcome will not.
Several factors could influence the price movement of this market. Any news regarding player form, injuries, or changes to playing conditions could significantly shift expectations. For example, if Sofia Kenin were to withdraw from the match due to injury, the probability of Kamilla Rakhimova winning would likely increase substantially. Furthermore, updates on head-to-head records, recent match performances, or even weather forecasts could all contribute to price fluctuations in this market as traders adjust their predictions.