TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Donna Vekic vs Alexandra Eala: Set 1 Winner
kalshi

Donna Vekic vs Alexandra Eala: Set 1 Winner

Volume:
$32,763

Alexandra Eala

 - Kalshi

Alexandra Eala - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 17, 2026

Closed: Jun 17, 6:22 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alexandra Eala

View
100%
Yes 100¢No 0¢
100¢
N/A
$21,104
N/A
N/A
$12,715
Settled
Yes
kalshi

Donna Vekic

0%
Yes 0¢No 100¢
100¢
N/A
$11,659
N/A
N/A
$7,232
Settled
No
Total markets: 2

Description

This market determines the winner of the first set in the professional tennis match between Donna Vekic and Alexandra Eala at the 2026 Berlin tournament Round of 32 on June 15. The set winner is determined by standard tennis scoring rules.

Kalshi

Resolution depends on the outcome of 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 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 Vekic vs Eala Set 1 winner market dashboard tracks real-time odds and historical price movements for this tennis matchup. The interface displays current implied probabilities for each player to win the opening set, along with 24-hour trading volume and depth-of-book data. You can monitor how sentiment shifts as match conditions evolve, review past price action, and compare intraday volatility. This dashboard provides the core metrics needed to assess market confidence in either competitor's ability to capture the first set before the event concludes.

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 like this one are driven by trader conviction and real-money risk. Prediction market participants typically have stronger informational edges or longer time horizons, which can lead to sharper pricing on niche events. For a tennis set winner, comparing this market's implied probability to major sportsbook spreads can reveal where professional traders and casual bettors disagree most.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts 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 contract reflects the collective belief in that player's likelihood of winning Set 1, ranging from near-zero to near-100 cents. As new information emerges—player form, court conditions, or injury reports—traders adjust their bids and offers, moving the price in real time. Liquidity and trading volume directly influence how quickly prices respond to news and how tight the bid-ask spread remains.

This market resolves around Jun 15, 2026, once the Vekic vs Eala match is completed and the Set 1 winner is verified against credible public sources. The outcome is determined by which player wins the first set according to official match records. No further action is required from traders after the set concludes; the platform automatically settles all positions based on the verified result. Early resolution is possible if the match is abandoned or the set is voided under tournament rules.

Several catalysts can shift odds before the match begins or during Set 1. Pre-match factors include official lineup confirmations, recent player performance trends, head-to-head records, and court surface conditions. During the set, real-time momentum—break points, service holds, and tactical adjustments—often triggers sharp repricing as traders react to live play. Injury reports, weather delays, or unexpected form swings can also create volatility. Close set scores typically keep this market competitive and fluid, while dominant play by one player may compress odds toward one side.