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Catherine McNally vs Petra Marcinko: Set 2 Winner
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Catherine McNally vs Petra Marcinko: Set 2 Winner

Volume:
$42,686

Catherine McNally

 - Kalshi

Catherine McNally - Kalshi

1W

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Positive

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Vol.

·

Resolved Jun 25, 2026

Closed: Jun 25, 1:35 PM 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

Catherine McNally

View
100%
Yes 100¢No 0¢
100¢
N/A
$19,621
N/A
N/A
$11,440
Settled
Yes
kalshi

Petra Marcinko

0%
Yes 0¢No 100¢
100¢
N/A
$23,065
N/A
N/A
$16,161
Settled
No
Total markets: 2

Description

Catherine McNally and Petra Marcinko compete in the second set of their 2026 WTA Eastbourne Quarterfinal tennis match on June 25. The market determines which player wins that specific set.

Kalshi

This market resolves based on the outcome of set 2 in the professional tennis match between Catherine McNally and Petra Marcinko at the 2026 WTA Eastbourne Quarterfinal. If the match does not begin due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. Should the match be postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. If a player retires, any set already completed unconditionally resolves accordingly; sets that cannot be definitively settled based on completed play resolve to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the McNally vs Marcinko Set 2 winner market dashboard displays real-time odds and price movements for this tennis matchup. Traders can monitor the current probability assigned to each player winning the second set, along with 24-hour volume and historical price charts. The dashboard updates continuously as new trades execute, allowing participants to track how market sentiment shifts in response to live match developments, player performance, and other relevant factors throughout the trading period.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance their books and guarantee profit margins, while prediction markets like this one are driven by traders seeking to profit from accurate forecasting. This market aggregates the collective wisdom of many independent participants, which can sometimes identify value that traditional sportsbooks miss. Comparing the two can reveal where public opinion or sharp traders see opportunity in the McNally versus Marcinko matchup.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts 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 contract reflects the collective assessment of all active traders, with bids and asks adjusting in real time as new information emerges. Participants can enter limit or market orders to express their view on who will win Set 2, and the market price converges toward the true probability as more capital flows into the most likely outcome.

This market resolves around Jun 25, 2026, once the second set of the McNally versus Marcinko match concludes. The outcome is determined by verifying the official result against credible public sources, confirming which player won Set 2. All open positions settle based on the verified winner, with traders holding the correct outcome receiving their payout and those on the losing side forfeiting their stake.

Several factors can shift prices in this market before it resolves. Live match performance during Set 1 will influence trader expectations for Set 2, particularly if one player demonstrates superior form or tactical advantage. Injury reports, player fatigue, or momentum swings can trigger rapid repricing. Weather conditions, court surface conditions, and serve-return statistics may also prompt traders to adjust their positions. Real-time commentary and expert analysis shared during the match can catalyze significant volume and price movement as new information becomes available.