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 28, 4:58 AM EST
Polymarket
This market refers to the tennis match between Paula Badosa and Sinja Kraus in the Guangzhou Open, originally scheduled for October 27, 2026 at 10:00PM ET. This market will resolve to 'Paula Badosa' if Paula Badosa advances against Sinja Kraus. This market will resolve to 'Sinja Kraus' if Sinja Kraus advances against Paula Badosa. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 10, 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 Paula Badosa and Sinja Kraus in the Guangzhou Open, originally scheduled for October 27, 2026 at 10:00PM ET. This market will resolve to 'Paula Badosa' if Paula Badosa advances against Sinja Kraus. This market will resolve to 'Sinja Kraus' if Sinja Kraus advances against Paula Badosa. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 10, 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.
Currently, prediction market odds often reflect a different perspective than those found at traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, incorporating a 'vig' or commission. This market, however, is driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the players' form and potential. It’s common to see prediction markets offer more nuanced probabilities, particularly in situations where public sentiment strongly favors one outcome.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing their belief in the likelihood of a particular outcome. As more shares are purchased for a specific outcome, its price increases, reflecting a higher implied probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a share directly corresponds to the probability of that outcome occurring, with the platform ensuring that the total probability across all outcomes sums to 100%. This dynamic pricing system allows the market to quickly incorporate new information and adjust expectations.
This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Guangzhou Open match between Paula Badosa and Sinja Kraus. The platform will verify the result against widely available sources to ensure accuracy and transparency. Traders who correctly predicted the outcome will be entitled to a payout based on the final market prices at the time of resolution.
Several factors could influence the price of this market before the match concludes. Any news regarding player injuries, changes in playing conditions, or updates on their recent performance could shift trader sentiment. Unexpected results in other matches involving these players could also impact perceptions of their form and ability. Furthermore, significant betting activity or large trades on Polymarket could also cause noticeable price movements, reflecting a change in collective belief about the likely winner of the Badosa vs Kraus match.