TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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Marcos Giron vs Alexander Zverev: Set 2 Winner
kalshi

Who will win set 2: Giron vs Zverev?

Volume:
$224,008

Alexander Zverev

 - Kalshi

Alexander Zverev - Kalshi

1W

News

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Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 12:00 PM EST

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Kalshi

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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

Alexander Zverev

View
100%
Yes 100¢No 0¢
100¢
N/A
$148,683
N/A
N/A
$88,784
Settled
Yes
kalshi

Marcos Giron

0%
Yes 0¢No 100¢
100¢
N/A
$75,325
N/A
N/A
$40,917
Settled
No
Total markets: 2

Description

This market tracks the outcome of the second set in the professional tennis match between Marcos Giron and Alexander Zverev at the 2026 Wimbledon Men's Singles Round of 32 on July 4. Bettors predict which player will win that specific set.

Kalshi

The market resolves based on which player wins set 2 of the Giron vs Zverev match at 2026 Wimbledon Men'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 settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Giron vs Zverev Set 2 winner market dashboard tracks real-time odds and price movements for this tennis matchup. The interface displays current probabilities for each player to win the second set, along with historical price charts and trading volume data. You can monitor how sentiment shifts as the match progresses and new information emerges. The dashboard also shows your position, profit or loss, and available liquidity for entering or exiting trades on this market.

Prediction market odds and traditional 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 aggregate the collective beliefs of traders risking real capital. This market may show tighter or wider spreads than sportsbooks depending on trading activity and information flow. Comparing the two can reveal where professional bettors and casual traders disagree on the likely outcome of the second set.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the real-time probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can enter or exit positions at any time before the market closes, and the price reflects the marginal agreement between the last matched orders. As new match data, player form, or injury news surfaces, traders adjust their positions, causing the odds to move. Liquidity and trading volume influence how quickly prices respond to incoming information.

This market resolves around Jul 4, 2026, once the second set of the Giron vs Zverev match concludes and the winner is verified against credible public reporting. The outcome is determined by which player wins the set according to official match records. Until that time, traders can continue to buy and sell positions as odds shift in response to live match developments. Early resolution may occur if the match is abandoned or the set is not completed under standard conditions.

Several factors can shift odds in this market before resolution. Early performance in the first set often influences expectations for the second, especially if one player establishes dominance or faces unexpected fatigue. Injury reports, weather delays, or court conditions may alter momentum and player confidence. Serve efficiency, break-point conversion, and mental composure during critical moments all drive real-time trading activity. Traders also react to commentary from analysts and live match statistics that suggest one player is gaining control of the set.