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Petra Marcinko vs Sofia Kenin: Set 1 Winner
kalshi

Who will win set 1: Petra Marcinko vs Sofia Kenin?

Volume:
$9,363

Sofia Kenin

 - Kalshi

Sofia Kenin - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 7:14 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

Sofia Kenin

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,476
N/A
N/A
$2,621
Settled
Yes
kalshi

Petra Marcinko

0%
Yes 0¢No 100¢
100¢
N/A
$5,887
N/A
N/A
$5,699
Settled
No
Total markets: 2

Description

Petra Marcinko and Sofia Kenin compete in the first set of their 2026 Wimbledon Women's Singles Round of 128 match on June 30. The winner of set 1 will be determined by standard tennis scoring rules.

Kalshi

This market covers the first set of the Petra Marcinko vs Sofia Kenin professional tennis match at the 2026 Wimbledon Women's Singles Round of 128. Resolution is based on which player wins set 1 through standard play. 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 Marcinko vs Kenin Set 1 winner market displays real-time odds and price movements as traders buy and sell shares tied to each player's chances of winning the opening set. You can monitor the current implied probability for each outcome, view historical price charts, and track total trading activity. The interface updates continuously during market hours, letting you see how sentiment shifts in response to player form, court conditions, or other match-related developments leading up to the event.

Prediction market odds and sportsbook odds often diverge because they reflect different trader bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate beliefs from many independent traders with real money at stake. This market may show tighter or wider spreads than traditional sportsbooks depending on liquidity and the conviction of participants. Comparing the two can reveal where the crowd sees value or where consensus is weak, though each venue operates independently.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for 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 expectation of what will happen, with the sum of all outcome prices equaling one dollar. As new information emerges or trader sentiment shifts, prices adjust in real time. Higher prices indicate stronger perceived likelihood, while lower prices suggest lower conviction among the trading community.

This market resolves around Jun 30, 2026, once the first set of the match concludes and the winner is verified against credible public sources. The outcome is determined by which player wins the opening set according to official tournament records or widely recognized sports reporting. No further action is required from you; the platform will confirm the result and settle all positions automatically once the event is complete and the data is confirmed.

Several factors may shift odds before the match begins or during play. Recent form, head-to-head records, and injury reports can reshape trader expectations. Court surface preference, weather conditions, and player momentum going into the tournament also influence pricing. If either player withdraws or if unexpected news breaks, the market will react sharply. During the set itself, momentum swings, break points, and tie-break situations can cause rapid repricing as traders update their forecasts in real time based on live action.