TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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30,097

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MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

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Sabalenka vs Alexandrova
kalshi

Sabalenka vs Alexandrova

Volume:
$1,371,426

Aryna Sabalenka

 - Kalshi

Aryna Sabalenka - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 17, 2026

Closed: Jun 17, 1:05 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

Aryna Sabalenka

View
100%
Yes 100¢No 0¢
100¢
N/A
$842,925
N/A
N/A
$601,257
Settled
Yes
kalshi

Ekaterina Alexandrova

0%
Yes 0¢No 100¢
100¢
N/A
$528,501
N/A
N/A
$330,169
Settled
No
Total markets: 2

Intro

This market tracks the outcome of the Round of 16 tennis match between Aryna Sabalenka and Ekaterina Alexandrova at the 2026 Berlin tournament. On Kalshi, Sabalenka is priced at 85.0% to win the match, while Alexandrova stands at 17.0%. The market resolves based on the official result once a ball has been played in the professional tennis match. Watch for the match completion on or around June 17, 2026, when the Round of 16 contest is scheduled to conclude.

Kalshi

Resolution requires that a ball be played in the match, confirming it has officially started. If the match does not occur before play begins due to injury, walkover, forfeiture, or other cancellation, the market resolves to a fair price. Should the match be postponed or delayed, the market remains open and closes only after the rescheduled match concludes, provided this occurs within two weeks of the original date.

Frequently asked questions

On Kalshi, the dashboard for the Sabalenka vs Alexandrova tennis match displays real-time odds and price movements as traders buy and sell shares tied to each player's chances of winning. You can monitor the current implied probability for each outcome, review historical price charts, and track trading activity. The interface shows how market sentiment shifts as new information emerges—whether that's player form, injury updates, or court conditions. This live data helps you understand how the prediction market is valuing each competitor's likelihood of victory heading into the match.

Prediction markets and sportsbooks price outcomes differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market reflects what thousands of participants collectively believe will happen, often incorporating real-time information faster than traditional sportsbooks adjust their lines. Comparing this market's implied probability to sportsbook odds can reveal where consensus diverges, though both sources offer valuable perspectives on the match outcome.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing each player's victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome fluctuates based on supply and demand—when more traders believe one player will win, that share's price rises, and the competing outcome's price falls accordingly. Prices always sum to $1.00, so if one player's implied probability increases, the other's decreases proportionally. This continuous repricing ensures the market reflects the latest consensus among active traders.

This market resolves around Jun 17, 2026, once the match concludes and the winner is verified against credible public reporting. The outcome is determined by which player wins the match in regulation play. No special conditions or tiebreaker rules apply—the market simply confirms the official result from the tennis governing body or authoritative sports data provider. Traders holding shares in the winning player receive their payout, while losing shares expire worthless.

Several factors can shift trader sentiment and move prices before the match begins. Injury announcements or fitness updates about either player will trigger immediate repricing. Recent tournament results, head-to-head records, and surface-specific performance data influence positioning. Court conditions, weather forecasts, and draw analysis also matter. Media coverage highlighting momentum or form changes can sway the crowd. Even scheduling delays or last-minute lineup changes could spark volatility. Traders continuously reassess probabilities as new information emerges, so watch for official announcements and credible sports reporting in the lead-up to the event.