TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 27, 2:40 AM EST
Polymarket
This market refers to the tennis match between Chiara Di Genova and Olivia Dorner in the W15 Sumter, SC, Qualifying, originally scheduled for October 26, 2026 at 1:00PM ET. This market will resolve to 'Chiara Di Genova' if Chiara Di Genova advances against Olivia Dorner. This market will resolve to 'Olivia Dorner' if Olivia Dorner advances against Chiara Di Genova. 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 Chiara Di Genova and Olivia Dorner in the W15 Sumter, SC, Qualifying, originally scheduled for October 26, 2026 at 1:00PM ET. This market will resolve to 'Chiara Di Genova' if Chiara Di Genova advances against Olivia Dorner. This market will resolve to 'Olivia Dorner' if Olivia Dorner advances against Chiara Di Genova. 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.
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. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy shares in a particular outcome, the price increases, reflecting growing confidence. Conversely, selling pressure drives the price down. The current price reflects the aggregated assessment of all traders participating in the market, providing a dynamic and real-time estimate of the likelihood of each player winning the Sumter tennis match.
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 Sumter tennis match between Chiara Di Genova and Olivia Dorner. The platform will verify the winner based on publicly available sources such as official tournament websites and sports news outlets. The outcome will be determined by which player is officially declared the winner of the match, with no subjective interpretation involved in the resolution process.
Several factors could influence the odds in this market before the match concludes. Any news regarding player injuries, changes in playing conditions (like weather impacting an outdoor court), or even updates on player form could shift trader sentiment. Unexpected announcements about coaching changes or strategic adjustments could also play a role. Furthermore, significant betting activity – a large influx of trades on Polymarket favoring one player – would likely cause the odds to move. Monitoring these signals can provide insight into how the market is reacting to new information and evolving expectations.