TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 15, 2:17 PM EST
Polymarket
This market refers to the tennis match between Ayla Aksu and Elena Malygina in the Caldas da Rainha, originally scheduled for September 15, 2026 at 10:30AM ET. This market will resolve to 'Ayla Aksu' if Ayla Aksu advances against Elena Malygina. This market will resolve to 'Elena Malygina' if Elena Malygina advances against Ayla Aksu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 29, 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 Ayla Aksu and Elena Malygina in the Caldas da Rainha, originally scheduled for September 15, 2026 at 10:30AM ET. This market will resolve to 'Ayla Aksu' if Ayla Aksu advances against Elena Malygina. This market will resolve to 'Elena Malygina' if Elena Malygina advances against Ayla Aksu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 29, 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.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds due to varying information sources and incentives. Sportsbooks establish lines based on statistical models and expert analysis, while this market aggregates the opinions of many individual traders. If there's a significant discrepancy between the two, it could indicate that the market believes a sportsbook has mispriced the probability of a particular outcome. However, it’s important to remember that both represent probabilities and are subject to change as new information emerges.
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. As more traders participate and new information becomes available, the price will adjust to reflect the collective assessment of the likelihood of each outcome in the Aksu vs Malygina match. This dynamic pricing ensures that the market remains responsive to evolving perspectives.
This market resolves around Sep 22, 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 Aksu vs Malygina match, as determined by the governing body of the sport. Traders will be able to claim their winnings based on the final result, which will be reflected in the market’s settlement. The platform will verify the outcome against publicly available sources to ensure accuracy and fairness.
Several signals could influence this market before Sep 22, 2026. Any news regarding player form, injuries, or changes in coaching strategy for either Ayla Aksu or Elena Malygina could significantly shift the odds. Unexpected results in related matches or tournaments could also impact market sentiment. Furthermore, major shifts in public opinion, potentially driven by social media or expert analysis, could lead to increased trading volume and price adjustments in this market. Any developments affecting the perceived likelihood of either athlete winning will likely be reflected in the market prices.