TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Eala vs Mertens
kalshi

Eala vs Mertens

Volume:
$2,945,735

Elise Mertens

 - Kalshi

Elise Mertens - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 22, 2026

Closed: Jun 22, 3:31 PM EST

kalshi

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

Elise Mertens

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,068,170
N/A
N/A
$637,618
Settled
Yes
kalshi

Alexandra Eala

0%
Yes 0¢No 100¢
100¢
N/A
$1,877,565
N/A
N/A
$1,161,294
Settled
No
Total markets: 2

Intro

This market tracks the outcome of the professional tennis match between Alexandra Eala and Elise Mertens in the 2026 WTA Bad Homburg Round of 32. On Kalshi, Elise Mertens holds a 94.0% probability of winning, while Alexandra Eala stands at 6.0%. The market resolves based on the official match result from the WTA Bad Homburg tournament. Watch for the match on June 20, 2026, when play begins—once a ball has been played, the market will resolve to the actual winner.

Kalshi

This market covers the Eala vs Mertens professional tennis match in the 2026 WTA Bad Homburg Round of 32, requiring that a ball has been played for resolution. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks.

Frequently asked questions

The Eala vs Mertens tennis match dashboard on Kalshi tracks real-time odds and price movements for this professional tennis matchup. Traders can monitor current implied probabilities, 24-hour trading volume of $2,909,328, and total market depth of $2,945,735. The dashboard displays historical price charts, allowing you to see how market sentiment has shifted since the market opened. This live data helps traders identify momentum, spot value, and time their positions ahead of the match.

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 manage risk, while prediction markets like this one aggregate trader beliefs through continuous price discovery. Prediction markets can sometimes offer sharper odds because traders risk real capital on outcomes. Comparing this market's implied probabilities to major sportsbook lines reveals whether the crowd here is more or less bullish than professional oddsmakers on either player.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each player's chances of winning. 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 active traders, ranging from $0 to $1, where $1 represents certainty. As new information emerges or traders adjust their views, the bid-ask spread tightens or widens. This continuous pricing model ensures transparent, real-time odds that respond instantly to breaking news or shifting sentiment about either competitor.

This market resolves around Jun 22, 2026, once the tennis match concludes and the winner is verified against credible public sources. The outcome is determined by the official match result—whichever player wins the contest will be the correct resolution. No ambiguity exists in tennis match outcomes, making this a straightforward binary event. Traders should monitor the match schedule and any last-minute changes to ensure they understand the exact timing and conditions.

Several catalysts could shift odds before the match begins. Injury reports or fitness updates on either player often trigger sharp repricing. Recent tournament results, head-to-head records, and surface preference (clay, grass, hard court) influence trader positioning. Weather forecasts and court conditions can favor one style of play over another. Media commentary, betting syndicate activity, and late-breaking news about player form or mental state also drive volume and volatility. Traders monitoring these signals gain an edge in timing entries and exits.