TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 6, 2:14 AM EST
Polymarket
This market refers to the tennis match between Hanyu Guo and Aliona Falei in the Suzhou, originally scheduled for October 5, 2026 at 10:00PM ET. This market will resolve to 'Hanyu Guo' if Hanyu Guo advances against Aliona Falei. This market will resolve to 'Aliona Falei' if Aliona Falei advances against Hanyu Guo. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 19, 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 Hanyu Guo and Aliona Falei in the Suzhou, originally scheduled for October 5, 2026 at 10:00PM ET. This market will resolve to 'Hanyu Guo' if Hanyu Guo advances against Aliona Falei. This market will resolve to 'Aliona Falei' if Aliona Falei advances against Hanyu Guo. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 19, 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 offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, being driven by individual traders, tends to reflect a more pure assessment of probabilities, although biases can still emerge. It’s common to see differences in implied probabilities, especially as new information becomes available or as public sentiment shifts. Comparing these odds can be a useful exercise for informed decision-making.
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 reflects 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 an outcome is likely, the higher the price of its corresponding shares will climb. This dynamic pricing ensures that the market odds constantly adapt to new information and changing opinions, offering a real-time assessment of the event's potential results.
This market resolves around Oct 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Suzhou tennis match between Hanyu Guo and Aliona Falei, as reported by a recognized tennis authority. The platform will verify the result against publicly available sources to ensure accuracy and transparency. Traders will then be able to claim their winnings based on the final outcome of the match.
Several factors could influence the trading activity in this market. Any news regarding the players' form, potential injuries, or changes in playing conditions could significantly shift the odds. Unexpected upsets in other matches involving these players, or even broader trends in tennis performance, could also play a role. Public sentiment, as reflected in social media or expert analysis, can also impact trading behavior. Ultimately, any information that alters the perceived probability of either player winning will likely cause movement in this market.