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 7, 9:01 AM EST
Polymarket
This market refers to the tennis match between Gabriela Paun and Katherine Hui in the W35 Reus, Qualifying, originally scheduled for September 7, 2026 at 6:15AM ET. This market will resolve to 'Gabriela Paun' if Gabriela Paun advances against Katherine Hui. This market will resolve to 'Katherine Hui' if Katherine Hui advances against Gabriela Paun. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 21, 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 Gabriela Paun and Katherine Hui in the W35 Reus, Qualifying, originally scheduled for September 7, 2026 at 6:15AM ET. This market will resolve to 'Gabriela Paun' if Gabriela Paun advances against Katherine Hui. This market will resolve to 'Katherine Hui' if Katherine Hui advances against Gabriela Paun. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 21, 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.
Generally, prediction market odds often reflect information and insights beyond those considered by traditional sportsbooks. While sportsbooks set lines based on statistical models and expert opinions, this market incorporates the wisdom of the crowd, potentially identifying undervalued or overvalued outcomes. Discrepancies can arise due to differing risk assessments, access to information, or simply varying levels of public interest. It's common to see prediction markets move faster than sportsbooks to incorporate new information, especially in dynamic situations. Examining both can provide a more comprehensive view of the likely result.
This market resolves around Sep 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the Gabriela Paun versus Katherine Hui match as reported by a recognized tennis authority. The platform will verify the result against these sources to determine which outcome corresponds to the actual event result. Traders holding shares in the winning outcome will be entitled to a payout, while those holding shares in the losing outcome will forfeit their investment.
Several factors could influence trading activity and move this market before resolution. Any news regarding player form, injuries, or changes in playing conditions could significantly impact the perceived probabilities. Unexpected results in preceding matches for either player, or shifts in expert analysis, could also drive price movements. Major upsets in other related tournaments, or even weather forecasts affecting the match location, might also play a role. Increased media attention or social media buzz surrounding the match could also lead to greater trading volume and price volatility.