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$134.1b

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2,388,728,490

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$1,436,095,462

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Perez / Schuurs vs Aoyama / Liang E-
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Who will win the Perez/Schuurs vs Aoyama/Liang match?

Volume:
$39,715

Shuko Aoyama / En-Shuo Liang

 - Kalshi

Shuko Aoyama / En-Shuo Liang - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 8, 2026

Closed: Jul 8, 11:29 AM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Shuko Aoyama / En-Shuo Liang

View
100%
Yes 100¢No 0¢
100¢
N/A
$18,872
N/A
N/A
$10,681
Settled
Yes
kalshi

Ellen Perez / Demi Schuurs

0%
Yes 0¢No 100¢
100¢
N/A
$20,843
N/A
N/A
$12,655
Settled
No
Total markets: 2

Description

This event covers the 2026 Wimbledon Women's Doubles Quarterfinal match between the team of Ellen Perez and Demi Schuurs against the team of Shuko Aoyama and En-Shuo Liang, scheduled for July 8. The outcome depends on which team wins the professional tennis match.

Kalshi

Resolution requires that a ball be played in the match, establishing that competition has actually commenced. If the match does not occur before play begins—due to player injury, walkover, forfeiture, or other cancellation—the market resolves to a fair price rather than to either team. Should the match be postponed or delayed, the market remains open and resolves only after the rescheduled match concludes, provided this occurs within two weeks of the original date.

Frequently asked questions

On Kalshi, the dashboard for the Perez/Schuurs vs Aoyama/Liang tennis match displays real-time odds reflecting trader sentiment on the match outcome. The interface shows current pricing, historical price movements, and 24-hour trading volume to help you monitor market activity and liquidity. You can track how odds shift as new information emerges about player form, conditions, or other match-relevant factors. The dashboard updates continuously during the trading window, allowing you to compare current prices against your own assessment and execute trades when conditions align with your prediction.

Prediction market odds and sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set odds to balance their book and manage risk, while prediction markets like this one are priced by traders expressing genuine beliefs about outcomes. Traders here have direct financial incentive to price accurately, since they profit from correct predictions. Comparing this market's odds to major sportsbooks can reveal inefficiencies or consensus shifts. However, sportsbooks may move faster on breaking news, whereas prediction markets aggregate information over time as traders continuously adjust positions.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the current odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices reflect the collective judgment of active traders, with each transaction updating the market level. Higher trading volume typically narrows the spread between bid and ask, making it easier to enter or exit positions at fair prices. As match-day approaches or new information surfaces, traders adjust their positions, causing prices to shift dynamically until the market resolves.

This market resolves around Jul 8, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by which team wins the match according to official tournament records. Until that point, you can trade your position at any time, allowing you to lock in gains, cut losses, or adjust your exposure based on evolving circumstances. Early resolution is possible if the match is cancelled or forfeited under official rules.

Several factors can shift odds before resolution. Player injuries, withdrawals, or fitness updates about any of the four competitors will likely trigger sharp price moves. Recent tournament performance, head-to-head records, and court-surface suitability can influence trader positioning. Weather conditions on match day may affect play style and outcomes. Betting-market activity and social media sentiment can also sway prediction traders. Major upsets in earlier rounds or unexpected lineup changes could alter perceived match dynamics, prompting traders to reassess probabilities and reposition accordingly.