TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 6, 6:00 AM EST
Polymarket
This market refers to the tennis match between Mimi Xu and Daria Kasatkina in the Wimbledon WTA, originally scheduled for June 29, 2026 at 6:00AM ET. This market will resolve to 'Mimi Xu' if Mimi Xu advances against Daria Kasatkina. This market will resolve to 'Daria Kasatkina' if Daria Kasatkina advances against Mimi Xu. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, 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 Mimi Xu and Daria Kasatkina in the Wimbledon WTA, originally scheduled for June 29, 2026 at 6:00AM ET. This market will resolve to 'Mimi Xu' if Mimi Xu advances against Daria Kasatkina. This market will resolve to 'Daria Kasatkina' if Daria Kasatkina advances against Mimi Xu. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, 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 and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven purely by trader belief and capital allocation. Prediction markets can sometimes offer sharper, more efficient pricing because traders risk real money on accuracy rather than volume. However, sportsbooks may occasionally price matches more aggressively due to their professional oddsmaking teams. Comparing this market's odds to major sportsbooks can reveal arbitrage opportunities or signal where smart money is positioning itself.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective belief in that outcome's probability; as new information surfaces or sentiment shifts, traders adjust their positions, moving the odds in real time. Liquidity and order flow directly influence how quickly prices respond to news. Markets with higher trading volume typically show tighter spreads and more efficient pricing, while lower-volume periods may see wider bid-ask gaps. Your ability to enter or exit a position depends on available liquidity at any given moment.
This market resolves around Jul 6, 2026, once the match concludes and the winner is verified against credible public sources. The outcome is determined by the official result of the Wimbledon WTA match between Mimi Xu and Daria Kasatkina. No ambiguity typically surrounds tennis match outcomes, as the winner is immediately clear from tournament records and major sports reporting. Traders should monitor the official Wimbledon schedule and any last-minute changes such as withdrawals or postponements that could affect resolution timing.
Several catalysts can shift odds before the match concludes. Recent player performance, injury reports, or fitness updates about either competitor will likely trigger repricing. Court conditions, weather forecasts, and draw positioning can influence trader expectations. Head-to-head history and playing style matchups often surface as new analysis emerges. Betting syndicates or professional traders entering the market with large positions may create sudden momentum. Media coverage, expert predictions, and social sentiment can also sway retail traders. Finally, odds on related markets—such as tournament winner or set outcomes—may provide leading signals about how this specific matchup is being valued by the broader market.