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Pablo Llamas Ruiz vs Zachary Svajda: Game Spread
kalshi

Will Pablo Llamas Ruiz beat Zachary Svajda by more than the spread?

Volume:
$2,197

Zachary Svajda -3.5 games

 - Kalshi

Zachary Svajda -3.5 games - Kalshi

1W

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Positive

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Vol.

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Resolved Jun 30, 2026

Closed: Jun 30, 9:43 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Zachary Svajda -3.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,303
N/A
N/A
$1,262
Settled
Yes
kalshi

Zachary Svajda -6.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$745
N/A
N/A
$574
Settled
Yes
kalshi

Pablo Llamas Ruiz -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$149
N/A
N/A
$149
Settled
No
Total markets: 3

Description

This market measures the game differential between the two players across the full match at the 2026 Wimbledon Men's Singles Round of 128. It determines whether one player wins by a margin greater than the specified threshold, reflecting the competitive balance and dominance in the match.

Kalshi

The event resolves based on the game differential across the full match between Pablo Llamas Ruiz and Zachary Svajda at the 2026 Wimbledon Men's Singles Round of 128, with outcomes measuring whether Zachary Svajda wins by more than 6.5 or 3.5 games, or whether Pablo Llamas Ruiz wins by more than 1.5 games. 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 and closes after the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play will resolve accordingly; those that cannot be settled will resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Llamas Ruiz vs Svajda tennis match displays real-time odds and price movements as traders buy and sell shares tied to the game spread outcome. You can monitor the current implied probability of each side, view the order book depth, and track 24-hour trading activity. The interface shows historical price charts so you can see how market sentiment has shifted leading up to the match. This live data helps traders assess whether current odds reflect their own view of the likely spread result.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders risking real capital. This market may price the spread differently than traditional sportsbooks, particularly if one venue attracts sharper or more specialized tennis bettors. Comparing the two can reveal where consensus is strongest or where informed traders see value relative to conventional betting lines.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and asks for shares representing each spread 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 collective belief of active traders about the likelihood of that result. As new information emerges—such as player form, injury reports, or court conditions—traders adjust their positions, moving the price up or down. This dynamic pricing mechanism means the odds you see are always current and responsive to market participants' latest assessments.

This market resolves around Jun 30, 2026, once the match concludes and the final spread is confirmed. The outcome is verified against credible public sources reporting the official result. Until that time, traders can continue to buy and sell shares as new developments unfold. Early resolution is possible if the match is cancelled or postponed under circumstances that make the spread unverifiable, though standard completion will settle based on the actual game spread.

Several catalysts can shift this market significantly before Jun 30, 2026. Injury announcements or changes to player availability will alter perceived match dynamics and expected spread. Recent form, head-to-head records, and surface suitability can prompt repricing as traders reassess competitive balance. Court conditions, weather, and tournament context may also influence expectations. Media coverage, expert commentary, and betting action on external sportsbooks can signal new information that traders incorporate into their positions, causing price swings.