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: Jul 9, 6:00 AM EST
Polymarket
A Wimbledon 2026 WTA women's doubles match between the team of Katerina Siniakova and Taylor Townsend against Hao-Ching Chan and Clara Tauson, scheduled for July 2, 2026 at 6:00 AM ET in the Round of 64. The event group contains markets tracking both the match winner and whether the match completes under normal play conditions.
This market refers to the doubles tennis match between Siniakova/Townsend and Chan/Tauson in the Wimbledon WTA, originally scheduled for July 2, 2026 at 6:00AM ET. This market will resolve to 'Siniakova/Townsend' if the team of Siniakova/Townsend advances against Chan/Tauson. This market will resolve to 'Chan/Tauson' if the team of Chan/Tauson advances against Siniakova/Townsend. 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 team advances due to the opponent's retirement, default, or disqualification, this market will resolve to the team who advances. If the match ends in a walkover (a team 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.
Resolution depends on which team wins the match after play has begun. The market resolves Yes for whichever team achieves victory once a ball has been played in the match. If the match fails to occur before play begins due to injury, walkover, forfeiture, or other cancellation, the market resolves to a fair price per standard rules. Should the match be postponed or delayed, the market remains open and closes following the rescheduled match completion, provided this occurs within two weeks.
Prediction markets like Polymarket and Kalshi operate on peer-to-peer trading rather than fixed odds set by a sportsbook. Traders buy and sell shares representing each outcome, with prices reflecting live supply and demand. Sportsbooks, by contrast, set odds to balance their book and lock in profit margins. Prediction market prices often converge toward true probabilities over time because traders profit by identifying mispriced outcomes. However, sportsbook odds may incorporate sharper professional analysis and real-time injury or weather data. Comparing the two can reveal where public sentiment diverges from professional assessment, offering strategic insight for informed bettors.
Polymarket and Kalshi attract different trader demographics, regulatory frameworks, and liquidity pools, which can cause price divergence on the same event. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. One platform may have more volume concentrated on a particular outcome, pushing its price higher or lower than the other. Differences in market structure—such as order-book depth, fee schedules, and settlement speed—also influence how quickly each platform incorporates new information. Additionally, traders may hold stronger convictions on one platform based on local user behavior or platform-specific incentives. These gaps typically narrow as the event date approaches and arbitrageurs exploit mispricings, but they can persist if liquidity remains thin.