TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 22, 7:53 AM EST
Polymarket
This market refers to the tennis match between Isabella Maria Serban and Aneta Laboutkova in the Tolentino, originally scheduled for September 22, 2026 at 6:00AM ET. This market will resolve to 'Isabella Maria Serban' if Isabella Maria Serban advances against Aneta Laboutkova. This market will resolve to 'Aneta Laboutkova' if Aneta Laboutkova advances against Isabella Maria Serban. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 6, 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 Isabella Maria Serban and Aneta Laboutkova in the Tolentino, originally scheduled for September 22, 2026 at 6:00AM ET. This market will resolve to 'Isabella Maria Serban' if Isabella Maria Serban advances against Aneta Laboutkova. This market will resolve to 'Aneta Laboutkova' if Aneta Laboutkova advances against Isabella Maria Serban. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 6, 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 those offered by sportsbooks. Sportsbooks set lines to balance their risk and incorporate a profit margin, while this market represents the collective belief of traders. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the price will move accordingly. It’s common to see discrepancies, especially before major events or when new information emerges, offering potential value for informed traders.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the likelihood of each 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 participate and new information becomes available, the prices adjust to reflect the evolving consensus. This dynamic pricing allows for a real-time assessment of expectations surrounding the Tolentino tennis match.
This market resolves around Sep 29, 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 Tolentino tennis match between Isabella Maria Serban and Aneta Laboutkova, as reported by a recognized tennis authority. The platform will verify the result against publicly available data to determine which outcome corresponds to the actual event result, and shares will be settled accordingly.
Several factors could influence the price of shares in this market. Any news regarding player form, injuries, or changes in playing conditions could significantly shift expectations. Unexpected results in preceding matches for either player, or even broader tournament upsets, might also impact trading activity. Furthermore, public sentiment and analysis from tennis experts could sway traders' beliefs, leading to price movements as they adjust their positions based on new information.