TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

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MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

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Sorana Cirstea vs Linda Noskova: Set 1 Winner
kalshi

Who will win set 1: Cirstea vs Noskova?

Volume:
$33,454

Sorana Cirstea

 - Kalshi

Sorana Cirstea - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 11:05 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

Sorana Cirstea

View
100%
Yes 100¢No 0¢
100¢
N/A
$23,319
N/A
N/A
$18,464
Settled
Yes
kalshi

Linda Noskova

0%
Yes 0¢No 100¢
100¢
N/A
$10,135
N/A
N/A
$6,803
Settled
No
Total markets: 2

Description

This event tracks the outcome of the first set in the professional tennis match between Sorana Cirstea and Linda Noskova at the 2026 Wimbledon Women's Singles Round of 32 on July 4. The winner of set 1 will be determined by standard tennis scoring rules.

Kalshi

The market resolves based on which player wins set 1 of the Sorana Cirstea vs Linda Noskova match at 2026 Wimbledon Women's Singles Round of 32. 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 Cirstea vs Noskova Set 1 winner market dashboard tracks real-time odds and historical price movements for this tennis matchup. The interface displays current implied probabilities for each player to win the opening set, along with 24-hour volume and trading activity. You can monitor how odds shift as match conditions evolve, review past price levels, and compare current sentiment against earlier trading sessions. This live data helps traders assess market confidence in either outcome and identify potential value before the set begins.

Prediction market odds and 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 like this one are driven by trader consensus and real-money conviction. Prediction markets can sometimes offer sharper pricing on niche events because participants are motivated purely by accuracy rather than managing liability. Comparing this market's odds to major sportsbooks can reveal where public perception differs and highlight potential edges for informed traders.

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 collective probability assigned by active traders; higher prices indicate stronger confidence in that player winning Set 1. Liquidity and trading volume influence how tightly bid-ask spreads trade, and large orders can move prices significantly. Real-time price discovery ensures the market adjusts quickly to new information, injuries, or shifts in trader sentiment.

This market resolves around Jul 4, 2026, once the Cirstea vs Noskova match concludes and the Set 1 winner is verified against credible public reporting. The outcome is determined by which player wins the first set according to official tennis scoring rules. No partial or disputed results affect the resolution; the market settles only when the set is definitively complete. Early resolution is not possible, as the outcome cannot be confirmed until the match is played.

Several factors can shift odds before the match begins. Player injury reports or withdrawal announcements would dramatically reprrice this market. Recent form, head-to-head records, and surface-specific performance data often influence trader positioning. Court conditions, weather forecasts, and official draw confirmations can also trigger price movement. Closer to match time, betting patterns from sharp bettors or sportsbook line moves may signal new information. Tournament momentum and player confidence levels, reflected in media commentary, can sway sentiment and adjust the implied probabilities for each outcome.