TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 1:27 PM EST
Polymarket
This market tracks whether Maria Timofeeva will advance against Elise Mertens in their US Open WTA match, originally scheduled for September 3, 2026 at 11:00AM ET. Currently, Polymarket gives a 100.0% probability to the outcome of “US Open WTA: Completed Match: Maria Timofeeva vs Elise Mertens”. Resolution will be based on the official scores reported at https://www.wtatennis.com/scores. Keep an eye on the match itself, as the outcome will be determined by the completion of the fixture on or before the resolution date of September 10, 2026.
This market refers to the tennis match between Maria Timofeeva and Elise Mertens in the US Open WTA, originally scheduled for September 3, 2026 at 11:00AM ET. This market will resolve to 'Maria Timofeeva' if Maria Timofeeva advances against Elise Mertens. This market will resolve to 'Elise Mertens' if Elise Mertens advances against Maria Timofeeva. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 17, 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 collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their odds based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the same data. It's common to see prediction markets react more quickly to new information, as traders can instantly adjust their positions, unlike sportsbooks which update less frequently.
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 buy shares in a particular outcome, its price increases, reflecting a growing expectation of its likelihood. Conversely, selling pressure drives prices down. This dynamic process ensures the market price efficiently incorporates new information and reflects the collective forecast of the crowd.
This market resolves around Sep 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official result of the WTA US Open match between Maria Timofeeva and Elise Mertens, as reported by the official tournament organizers. The market will determine which player won the match according to standard tennis scoring rules. Traders will then be able to claim their winnings based on the final outcome and their positions in this market.
Several factors could influence the trading activity in this market leading up to Sep 10, 2026. Any news regarding player injuries, changes in playing conditions, or even pre-match analysis from tennis experts could shift market sentiment. Unexpected results in earlier rounds of the US Open involving either player could also impact the odds. Furthermore, significant betting activity from well-informed traders or large volume purchases could signal a change in expectations and cause the market price to move. Monitoring these signals will be key to understanding potential shifts in this market.