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2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

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2,632

PLATFORM COVERAGE:

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Rafael Jodar vs Pablo Carreno Busta: Total Games
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How many games will be played in Jodar vs Carreno Busta?

Volume:
$8,223

Over 34.5 games

 - Kalshi

Over 34.5 games - Kalshi

1W

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Positive

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 9:46 AM EST

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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
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Over 34.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,142
N/A
N/A
$3,821
Settled
Yes
kalshi

Over 39.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$2,355
N/A
N/A
$2,166
Settled
Yes
kalshi

Over 44.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$726
N/A
N/A
$726
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the first-round Wimbledon match between Rafael Jodar and Pablo Carreno Busta on July 1, 2026. Bettors predict whether the match will extend beyond various game thresholds, with longer matches indicating closer competition or extended rallies.

Kalshi

Resolution is based on the total number of completed games across the full match at the 2026 Wimbledon Men's Singles Round of 64. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to fair price. Postponed or delayed matches remain open until the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Jodar vs Carreno Busta total games market displays real-time odds, historical price movements, and current trading volume. Traders use this interface to monitor how the market is pricing the total number of games in the match between Rafael Jodar and Pablo Carreno Busta. The platform aggregates all buy and sell orders to establish a live probability estimate, allowing participants to track sentiment shifts as new information emerges. Volume data helps traders gauge liquidity and the strength of conviction behind each outcome.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms and participant bases. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one aggregate trader beliefs through continuous price discovery. Traders betting real money on the total games outcome may incorporate unique insights or statistical models that differ from traditional oddsmakers. Comparing the two can reveal where the market perceives edge or mispricing relative to conventional sports betting lines.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buyers and sellers continuously, and the last traded price reflects the consensus probability at any moment. As new information surfaces—such as player form, injury reports, or head-to-head history—traders adjust their positions, moving the price. This dynamic pricing ensures the market remains responsive to real-world developments leading up to the match.

This market resolves around Jul 2, 2026, once the Jodar vs Carreno Busta match concludes and the total number of games is verified against credible public sources. The outcome is determined by the final game count from the completed match. Traders holding positions will see their contracts settle based on whether the actual total falls above or below the threshold specified in the market. Resolution typically occurs within hours of the match ending, pending confirmation from official match records.

Several factors could shift this market before resolution. Injury announcements or withdrawal news involving either player would significantly impact expectations for match length. Recent performance trends, head-to-head history, and surface conditions at the venue may influence trader estimates of game duration. Court scheduling changes or tournament format updates could also affect the match structure. Additionally, real-time match developments—such as early set scores or player fatigue—would drive repricing as traders update their forecasts during play.