TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

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30,217

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MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

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Kalshi:

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Karolina Muchova vs Coco Gauff: Set 1 Winner
kalshi

Who will win set 1: Muchova vs Gauff?

Volume:
$416,875

Karolina Muchova

 - Kalshi

Karolina Muchova - Kalshi

1W

News

Positive

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Neutral

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Vol.

·

Resolved Jul 9, 2026

Closed: Jul 9, 9:24 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

Karolina Muchova

View
100%
Yes 100¢No 0¢
100¢
N/A
$263,463
N/A
N/A
$221,509
Settled
Yes
kalshi

Coco Gauff

0%
Yes 0¢No 100¢
100¢
N/A
$153,412
N/A
N/A
$103,971
Settled
No
Total markets: 2

Description

This market covers the first set of the 2026 Wimbledon Women's Singles Semifinal between Karolina Muchova and Coco Gauff on July 9. Bettors predict which player will win that specific set in this professional tennis match.

Kalshi

The market resolves based on which player wins set 1 of the Karolina Muchova vs Coco Gauff match at the 2026 Wimbledon Women's Singles Semifinal. 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 until 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 Muchova vs Gauff Set 1 winner market dashboard displays real-time odds for who will win the opening set of this matchup. The interface tracks the current price, historical price movements, and trading activity to help you monitor how sentiment shifts as the match approaches. You can view live bid-ask spreads, recent trade volume, and the probability implied by the market price. This dashboard gives traders a complete snapshot of liquidity and consensus odds in one place, updated continuously throughout the trading window.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets like this one are driven by trader consensus and real-money skin-in-the-game. Sportsbooks may move faster on breaking news, whereas prediction markets can be more efficient at pricing long-term uncertainty. Comparing this market's odds to major sportsbooks can reveal where the two communities disagree on the likely outcome, potentially highlighting value or consensus shifts.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers in real time. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the most recent trade and the current spread between the highest bid and lowest ask. As traders adjust their positions based on news, injury reports, or changing expectations, the price moves to equilibrate supply and demand. This mechanism ensures that the odds remain responsive to new information and market sentiment throughout the trading period.

This market resolves around Jul 9, 2026, once the first set of the Muchova vs Gauff match concludes and the outcome is verified against credible public sources. The winner of Set 1 will be confirmed through official match reporting and broadcast records. Until that point, traders can buy and sell positions based on their expectations. Resolution is binary: one player will be credited as the set winner, and the market will settle accordingly.

Several factors could shift odds in this market before it resolves. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent form updates, head-to-head records, and surface-specific performance data often influence trader positioning. Court conditions, weather forecasts, and match scheduling changes can also matter. Media coverage highlighting momentum or confidence in one player over the other may sway sentiment. As the match date approaches, any official lineup confirmations or last-minute developments typically generate trading volume and price movement.