TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

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30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

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39%

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Kalshi:

61%

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Elise Mertens vs Nikola Bartunkova: Set 2 Winner
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Elise Mertens vs Nikola Bartunkova: Set 2 Winner

Volume:
$24,617

Nikola Bartunkova

 - Kalshi

Nikola Bartunkova - Kalshi

1W

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Positive

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Neutral

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Vol.

·

Resolved Jun 17, 2026

Closed: Jun 17, 6:46 AM EST

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

Nikola Bartunkova

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,196
N/A
N/A
$7,920
Settled
Yes
kalshi

Elise Mertens

0%
Yes 0¢No 100¢
100¢
N/A
$14,421
N/A
N/A
$11,512
Settled
No
Total markets: 2

Description

This market tracks the outcome of the second set in the professional tennis match between Elise Mertens and Nikola Bartunkova at the 2026 Berlin Round of 16 on June 17. The winner of set 2 determines the market resolution.

Kalshi

The market resolves Yes if either Elise Mertens or Nikola Bartunkova wins set 2 of their 2026 Berlin Round of 16 match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If the match is postponed or delayed, the market remains open and closes after 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

The Mertens vs Bartunkova Set 2 market dashboard on Kalshi tracks real-time odds and historical price movements for this tennis matchup. You can monitor the current implied probability for each outcome, view 24-hour trading volume, and observe how odds shift as new information emerges. The dashboard displays the live order book, recent trades, and cumulative volume of $24,617 across all participants in this market. These tools help traders assess sentiment and liquidity before placing positions on who will win the second set.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms and participant bases. Sportsbooks set odds to balance their books and lock in profit margins, while prediction markets like this one are priced by traders who profit from accurate forecasts. This market aggregates distributed knowledge from many participants, which can sometimes reveal inefficiencies in traditional sportsbook pricing. Comparing the two can highlight where public perception, sharp money, or analytical models disagree on the likely outcome of the second set.

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 share reflects the collective belief in that outcome's probability, ranging from $0 to $1. Traders submit limit and market orders, and the spread between bid and ask prices tightens as liquidity increases. This continuous price discovery process means odds update in real time as new trades execute, allowing participants to enter or exit positions at transparent, market-determined rates.

This market resolves around Jun 17, 2026, once the second set of the Mertens vs Bartunkova match concludes and the result is verified against credible public sources. The outcome is determined by which player wins the set according to official tournament records or verified sports reporting. Until that point, traders can adjust positions as the match progresses and new information becomes available. Resolution is final once the event is confirmed and the platform processes the payout.

Several factors could shift odds in this market before resolution. Player form and recent match results, injury reports or fitness concerns, head-to-head history, and court conditions all influence trader sentiment. Real-time developments during the first set—such as momentum swings, break points, or tactical adjustments—often trigger repricing of the second set outcome. Media commentary, expert analysis, and betting action from sharp money can also move the market. As the match unfolds, traders update their models based on observed performance and adjust positions accordingly.