TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

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MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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Kalshi:

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Aryna Sabalenka vs Ekaterina Alexandrova: Set 1 Winner
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Aryna Sabalenka vs Ekaterina Alexandrova: Set 1 Winner

Volume:
$39,948

Aryna Sabalenka

 - Kalshi

Aryna Sabalenka - Kalshi

1W

News

Positive

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Vol.

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Resolved Jun 17, 2026

Closed: Jun 17, 12:21 PM 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

Aryna Sabalenka

View
100%
Yes 100¢No 0¢
100¢
N/A
$26,369
N/A
N/A
$20,484
Settled
Yes
kalshi

Ekaterina Alexandrova

0%
Yes 0¢No 100¢
100¢
N/A
$13,579
N/A
N/A
$12,664
Settled
No
Total markets: 2

Description

This market tracks the outcome of the first set in the professional tennis match between Aryna Sabalenka and Ekaterina Alexandrova at the 2026 Berlin Round of 16 on June 17. The winner of set 1 determines the market resolution.

Kalshi

The market resolves Yes if either Aryna Sabalenka or Ekaterina Alexandrova wins set 1 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

On Kalshi, the Sabalenka vs Alexandrova Set 1 market dashboard displays real-time pricing and historical odds for who will win the opening set of this matchup. The interface shows current contract prices, 24-hour trading volume, and a price chart tracking how trader sentiment has shifted since the market opened. You can monitor the implied probability of each outcome and see order book depth to understand liquidity. This live data helps traders gauge consensus expectations and spot movement driven by recent news, player form, or court conditions before the match begins.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are driven by trader consensus and real-money risk. Prediction markets tend to incorporate breaking news and sentiment shifts faster than traditional sportsbooks update their lines. For a tennis set winner, comparing this market's implied probability to major sportsbook odds can reveal whether traders are pricing in factors like recent form, head-to-head history, or court surface preference differently than bookmakers.

On Kalshi, this market is priced through a continuous 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 outcome's probability, ranging from $0 to $1. When you place an order, you're matched against other traders willing to take the opposite side. Kalshi's pricing is transparent and updates in real time as new trades execute, allowing you to see exactly what other participants are willing to pay or accept for exposure to either player winning the first set.

This market resolves around Jun 17, 2026, once the Sabalenka vs Alexandrova match is complete and the first set result is verified against credible public sources. The outcome is determined by which player wins the opening set according to official tournament records or widely reported match data. No ambiguity typically surrounds set winners in professional tennis, so resolution is usually straightforward and occurs shortly after the match concludes. Traders should monitor the match schedule and any potential delays or postponements that might affect the resolution timeline.

Several factors could shift odds before the match begins. Injury announcements or withdrawal news involving either player would trigger sharp repricing. Recent tournament results, head-to-head records, and surface-specific form matter significantly in tennis; a strong warm-up performance by one player could move the market. Court conditions, weather forecasts, and draw announcements may also influence trader positioning. Betting syndicates and sharp money often enter late, creating sudden volume spikes and price movement. Media narratives around player momentum or psychological factors can sway retail traders, adding volatility in the hours leading up to the opening serve.