TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 6, 6:00 AM EST
Polymarket
This event group covers the Wimbledon WTA tennis match between Ann Li and Zeynep Sonmez, originally scheduled for June 29, 2026. Two prediction markets track the match outcome (winner), while a third tracks whether the match is completed through normal play.
This market refers to the tennis match between Ann Li and Zeynep Sonmez in the Wimbledon WTA, originally scheduled for June 29, 2026 at 6:00AM ET. This market will resolve to 'Ann Li' if Ann Li advances against Zeynep Sonmez. This market will resolve to 'Zeynep Sonmez' if Zeynep Sonmez advances against Ann Li. 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 will resolve to "Ann Li" if Ann Li defeats Zeynep Sonmez in their Wimbledon match originally scheduled for June 29, 2026, 09:03 UTC. It will resolve to "Zeynep Sonmez" if Zeynep Sonmez defeats Ann Li. For the purposes of this market, a player officially declared the winner of the match will be considered to have defeated the opponent, including in cases of walkover, retirement, withdrawal, default, or disqualification.
Polymarket and Limitless can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Both platforms host the same event, but trader composition, liquidity depth, and fee structures vary. Limitless and Polymarket attract different user bases—some traders specialize on one platform, while others split capital across both. Liquidity imbalances mean large trades move prices more on the thinner book. Platform-specific rules, settlement timing, and withdrawal friction also influence how quickly arbitrage traders close price gaps. Monitoring both venues helps you identify mispricings and understand which platform's consensus may be more reliable for this particular matchup.
Several catalysts can shift odds before the match. Recent form, head-to-head records, and injury updates for either player will influence trader sentiment. Court conditions, draw positioning, and seeding strength matter in Grand Slam contexts. Media coverage and expert commentary often trigger repricing as new information surfaces. Betting action on external sportsbooks can signal sharp money and prompt arbitrage traders to rebalance here. Weather delays or scheduling changes may also affect player momentum. Monitor tennis news outlets and platform activity closely—large volume spikes often precede significant price moves.