TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

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MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

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Pablo Llamas Ruiz vs Zachary Svajda: Set 1 Winner
kalshi

Who will win set 1: Pablo Llamas Ruiz vs Zachary Svajda?

Volume:
$4,646

Zachary Svajda

 - Kalshi

Zachary Svajda - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 8:37 AM 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

Zachary Svajda

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,416
N/A
N/A
$3,909
Settled
Yes
kalshi

Pablo Llamas Ruiz

0%
Yes 0¢No 100¢
100¢
N/A
$230
N/A
N/A
$174
Settled
No
Total markets: 2

Description

This market determines the winner of the first set in the Pablo Llamas Ruiz vs Zachary Svajda 2026 Wimbledon first-round match. Whichever player wins set 1 will have their corresponding outcome resolve to Yes.

Kalshi

This event resolves based on which player wins set 1 of the Pablo Llamas Ruiz vs Zachary Svajda 2026 Wimbledon Men's Singles Round of 128 match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match finishes within two weeks. If a retirement occurs, markets that can be unconditionally settled based on completed play resolve accordingly; markets that cannot be unconditionally settled resolve to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the tennis set winner market dashboard tracks real-time odds and price movements for the opening set outcome between these two competitors. The interface displays current probabilities for each potential winner, along with historical price data and trading volume metrics. This allows traders to monitor how market sentiment shifts as match conditions evolve. The dashboard provides a transparent view of how participants are pricing the likelihood of each outcome, updated continuously throughout the trading window.

Prediction market odds often diverge from traditional sportsbook lines because they reflect real-time trader consensus rather than fixed bookmaker pricing. On platforms like Kalshi, odds adjust dynamically as new information emerges and traders adjust their positions. Sportsbooks typically build in margins and may move lines more conservatively. Prediction markets can sometimes offer sharper pricing because participants have direct financial incentive to identify mispricings. Comparing the two can reveal where the broader market sees value relative to professional oddsmakers.

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 aggregate belief of all active traders at any given moment. As new information surfaces or sentiment shifts, traders adjust their bids and asks, causing prices to move. This decentralized pricing model ensures that the odds remain responsive to real-world developments and trader conviction throughout the event window.

This market resolves around Jun 30, 2026, once the opening set concludes and the result is verifiable from credible public sources. The outcome is determined by which player wins the first set according to official match records. Resolution occurs shortly after the event concludes, allowing traders to settle their positions. The market's binary structure means one outcome will be confirmed as correct, with all shares in the winning outcome paying out at full value.

Several factors could shift odds before the match begins or during the opening set. Recent form and head-to-head records often influence early trading. Court surface, weather conditions, and player fitness updates can trigger repricing. In-play developments such as service breaks, momentum shifts, or visible injury concerns typically generate sharp price movements once the set is underway. News about player preparation, coaching changes, or mental state can also sway trader positioning. Real-time match statistics and set progression are the primary drivers of volatility in this market.