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$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

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MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

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Kalshi:

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Jaqueline Cristian vs Iva Jovic: Set 1 Winner
kalshi

Who will win set 1: Cristian vs Jovic?

Volume:
$6,611

Iva Jovic

 - Kalshi

Iva Jovic - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 29, 2026

Closed: Jun 29, 7:26 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

Iva Jovic

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,793
N/A
N/A
$1,509
Settled
Yes
kalshi

Jaqueline Cristian

0%
Yes 0¢No 100¢
100¢
N/A
$4,818
N/A
N/A
$4,122
Settled
No
Total markets: 2

Description

This market covers the first set of the professional tennis match between Jaqueline Cristian and Iva Jovic at the 2026 Wimbledon Women's Singles Round of 128 on June 29. The winner of set 1 will be determined by standard tennis scoring rules.

Kalshi

Resolution is based on which player wins set 1 in the specified match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a 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 Cristian vs Jovic 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 the order book depth, and track historical price data. The interface also shows recent trade activity and volume trends, giving you a complete picture of how market sentiment has shifted since the market opened. This data helps traders assess whether current prices align with their own assessment of the match.

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 purely by trader belief and capital allocation. Prediction markets can sometimes offer sharper, more efficient pricing because traders have direct financial exposure and no house edge to protect. However, sportsbooks may move faster on breaking news or injury reports. Comparing this market's odds to major sportsbooks can reveal value opportunities, though liquidity differences mean prediction market prices may be less stable during low-volume periods.

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 belief of all active traders at that moment, ranging from $0 to $1. When you buy shares at a lower price, you're betting that outcome will occur; selling at a higher price lets you lock in gains or hedge exposure. Kalshi's transparent, real-time pricing means you can enter or exit positions instantly at posted prices, and the market naturally adjusts as new information emerges or trader conviction shifts.

This market resolves around Jun 29, 2026, once the first set of the Cristian vs Jovic match concludes and the winner is verified against credible public sources. The outcome is determined by which player wins the set according to official match records or recognized tennis reporting. Until that point, prices will fluctuate based on pre-match analysis, player form, court conditions, and any other factors traders believe influence the result. After resolution, all winning shares pay out at full value and losing shares expire worthless.

Several factors could shift prices before the match begins. Recent tournament results, head-to-head records, and current ranking changes for either player often trigger trading activity. Injury reports or withdrawal news would cause sharp repricing. Court surface preference, weather forecasts, and draw position relative to other matches can also influence trader positioning. Closer to match time, betting patterns from sportsbooks or social media sentiment may signal shifting expectations. Lineup confirmations and warm-up match results in the days before play could prompt final adjustments. Any unexpected news about either player's fitness or mental state typically generates immediate volume and price movement.