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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MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

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Alejandro Davidovich Fokina vs Fabian Marozsan: Set 1 Winner
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Who will win Set 1: Davidovich Fokina vs Marozsan?

Volume:
$5,339

Alejandro Davidovich Fokina

 - Kalshi

Alejandro Davidovich Fokina - Kalshi

1W

News

Positive

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Neutral

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Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 8:42 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alejandro Davidovich Fokina

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,739
N/A
N/A
$2,194
Settled
Yes
kalshi

Fabian Marozsan

0%
Yes 0¢No 100¢
100¢
N/A
$2,601
N/A
N/A
$2,599
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the 2026 Wimbledon Men's Singles Round of 64 match between Alejandro Davidovich Fokina and Fabian Marozsan on July 1. Bettors predict which player will win that specific set.

Kalshi

The market resolves based on which player wins set 1 of the professional tennis match. If the match does not commence due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to fair price. For postponements or delays, the market remains open until the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled from completed play resolve accordingly; those that cannot are settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Davidovich Fokina vs Marozsan Set 1 market displays real-time odds and pricing for who will win the opening set of this tennis matchup. Traders can monitor live price movements, historical charts, and cumulative trading activity to assess market sentiment. The interface shows current bid-ask spreads, allowing participants to enter positions at competitive rates. You can also track 24-hour volume and other liquidity metrics to gauge market depth and participation levels throughout the trading session.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market aggregates real-money positions from traders who profit by accurately forecasting the set winner, potentially offering a less biased view than traditional betting lines. Comparing the two can reveal where consensus differs and highlight potential value opportunities.

On Kalshi, this market is priced through an 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 outcome reflects the collective confidence of market participants, with shares trading between 0 and 100 cents. As new information emerges or trader sentiment shifts, prices adjust dynamically. Liquidity and trading volume influence how quickly prices move, and wider spreads may appear during lower-activity periods.

This market resolves around Jul 1, 2026, once the tennis match concludes and the set winner is verifiable from credible public sources. The outcome is determined by which player wins the first set according to official match records. Resolution typically occurs shortly after the event concludes, pending confirmation from reliable sports reporting. Traders should monitor the match schedule to anticipate resolution timing and plan their positions accordingly.

Several factors could shift odds in this market before resolution. Recent player form, head-to-head records, and court surface preference may influence trader positioning. Injury reports or last-minute lineup changes could trigger sharp price movements. Pre-match analysis from tennis experts and betting syndicates often impacts sentiment. Weather conditions, player fatigue from prior rounds, and betting action from professional traders can also drive volatility. Monitoring sports news and social media discussion around both competitors helps anticipate potential market swings.