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Giovanni Mpetshi Perricard vs Alexander Bublik: Game Spread
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Giovanni Mpetshi Perricard vs Alexander Bublik: Game Spread

Volume:
$10,718

Alexander Bublik -1.5 games

 - Kalshi

Alexander Bublik -1.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 12, 2026

Closed: Jun 12, 11:24 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
kalshi

Alexander Bublik -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$8,527
N/A
N/A
$5,930
Settled
Yes
kalshi

Giovanni Mpetshi Perricard -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$1,110
N/A
N/A
$1,110
Settled
No
kalshi

Alexander Bublik -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$1,081
N/A
N/A
$1,081
Settled
No
Total markets: 3

Description

This market measures the game differential between Giovanni Mpetshi Perricard and Alexander Bublik across their entire ATP Stuttgart Quarterfinal match on June 12, 2026. Different thresholds track whether one player dominates in total games won or if the match remains competitive.

Kalshi

Resolution is based on the net game differential across the full match, calculated as the difference in total games won by each player. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If postponed or delayed, the market remains 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 resolved to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Perricard vs Bublik tennis match displays real-time odds and historical price movements for this game spread market. Traders can monitor current contract prices, 24-hour trading volume, and open interest to gauge market sentiment on the expected margin of victory. The interface allows you to review how odds have shifted over time, helping identify momentum and liquidity trends. This live data feed enables informed decision-making as the match approaches and unfolds.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets price outcomes through continuous trader participation and real-money stakes. This market aggregates the collective judgment of traders betting their own capital, which can sometimes lead to more efficient pricing than fixed sportsbook spreads. Comparing the two can reveal where consensus differs and highlight potential value.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts based on their belief in the game spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Contract prices range from $0 to $1, with the spread between bid and ask reflecting market uncertainty and liquidity depth. As new information emerges—player form, injury reports, or betting action—traders adjust positions, moving prices dynamically. The continuous auction process ensures prices adapt to evolving expectations right up to market close.

This market resolves around Jun 12, 2026, once the match concludes and the final game spread is verifiable from credible public sources. The outcome is determined by the official recorded margin of victory in the specified game, confirmed through established sports data providers. Resolution occurs after all relevant match data is finalized and any official reviews or corrections are complete. Traders should monitor for any delays or disputes that might affect the settlement timeline.

Key catalysts include player injury announcements, recent form and head-to-head records, court surface conditions, and pre-match betting action from professional syndicates. Weather forecasts and scheduling changes can also shift expectations. As the match date approaches, media coverage and expert analysis may influence trader positioning. During live play, real-time performance—breaks of serve, set momentum, and tactical adjustments—will drive rapid repricing. Late-breaking news about player fitness or mental state can trigger sharp moves in the final hours before the match begins.