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Dobrik / Sherry vs Foxx / Manasse
kalshi

Dobrik / Sherry vs Foxx / Manasse

Volume:
$267

David Dobrik and Ryan Sherry

 - Kalshi

David Dobrik and Ryan Sherry - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 20, 2026

Closed: Jun 19, 8:40 PM EST

kalshi

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

David Dobrik and Ryan Sherry

View
67%
Yes 67¢No 33¢
100¢
N/A
$260
N/A
N/A
$190
Settled
No
kalshi

Jamie Foxx and Matt Manasse

View
33%
Yes 33¢No 67¢
100¢
N/A
$7
N/A
N/A
$7
Settled
No
Total markets: 2

Description

A doubles pickleball match between David Dobrik and Ryan Sherry versus Jamie Foxx and Matt Manasse, scheduled for June 19, 2026, at Dobrik's home court in Los Angeles. The match will be played using standard rally scoring rules to 21 points with a win-by-2 requirement.

Kalshi

This doubles pickleball match will be contested to 21 points using rally scoring, with a requirement to win by 2 points. At 20-20, play freezes and the match must be decided on the serving team's next point (win on own serve). The match takes place at David Dobrik's pickleball court at his residence in Los Angeles, California. If the match does not commence due to player injury, walkover, forfeiture, or other cancellation occurring before play begins, the market will resolve to a fair price per standard procedures. Should the match be postponed or delayed, the market remains open and will close following completion of the rescheduled match, provided it occurs within two weeks of the original date.

Frequently asked questions

On Kalshi, the dashboard for this market displays real-time odds and price history for the Dobrik/Sherry vs Foxx/Manasse matchup. Traders can monitor how the implied probability shifts as new information emerges, along with 24-hour trading volume of $129 to gauge market activity and liquidity. The interface shows the current consensus price, historical price movements, and order book depth, enabling participants to track sentiment changes and make informed decisions about their positions throughout the trading window.

Prediction market odds reflect real-time aggregation of trader beliefs and financial incentives, often differing from traditional analyst forecasts. While analysts may rely on qualitative research and published reports, this market prices in live information and the collective judgment of participants with money at stake. Comparing the implied probability here to public expert commentary can reveal where the market consensus diverges from conventional wisdom, highlighting potential value or consensus blind spots in how this event is perceived.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the market's current probability estimate, ranging from $0 to $1, with the spread between bid and ask orders indicating liquidity and conviction. As new trades execute, the price adjusts in real time, allowing participants to enter or exit positions at the prevailing market rate.

This market resolves around Jun 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Traders should monitor official announcements and reliable news sources leading up to that date to understand how the result will be determined. The resolution hinges on the actual occurrence and outcome of the matchup, verified against established public records.

Key catalysts include official announcements about participant status, training updates, injury reports, or any public statements from the principals involved. Media coverage, social media activity, and betting patterns on related markets can also shift trader sentiment. Changes in perceived competitive advantage, rule clarifications, or unexpected withdrawals would likely trigger sharp price movements. Monitoring these signals helps traders anticipate market swings and adjust positions ahead of major developments.