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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Siniakova vs Yuan
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Siniakova vs Yuan

Volume:
$241,223

Katerina Siniakova

 - Kalshi

Katerina Siniakova - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 15, 2026

Closed: Jun 15, 8:20 AM 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

Katerina Siniakova

View
100%
Yes 100¢No 0¢
100¢
N/A
$129,897
N/A
N/A
$54,595
Settled
Yes
kalshi

Yue Yuan

0%
Yes 0¢No 100¢
100¢
N/A
$111,326
N/A
N/A
$45,378
Settled
No
Total markets: 2

Description

This market predicts the overall winner of the professional tennis match between Katerina Siniakova and Yue Yuan at the 2026 Berlin Qualification Round 1 on June 13. The match winner is determined by standard tennis match rules once play has begun.

Kalshi

The market resolves to Yes for whichever player wins the match, contingent on at least one ball being played. 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 until the rescheduled match concludes within two weeks.

Frequently asked questions

On Kalshi, the dashboard for the Siniakova vs Yuan tennis match displays real-time odds and price movements as traders buy and sell shares tied to the match outcome. You can monitor the current probability implied by the market, review historical price charts, and track trading volume to gauge market sentiment. The platform shows cumulative volume of $241,223 across all trading activity, with $80,108 in the last 24 hours, helping you assess liquidity and conviction among participants.

Prediction market odds and 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 aggregate the beliefs of traders risking real capital. This market may show higher or lower implied probabilities than traditional sportsbooks, depending on whether informed traders see value the books have missed. Comparing the two can reveal where consensus differs and highlight potential opportunities.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks, and the spread between them reflects real-time supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see is the last executed trade, and it updates instantly as new orders are filled. Wider spreads typically indicate lower liquidity or higher uncertainty, while tight spreads suggest strong consensus and active trading.

This market resolves around Jun 15, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome is determined by which player wins the match according to official tournament records or verified sports data sources. Until that point, prices will fluctuate based on pre-match analysis, player form, odds shifts, and trader positioning.

Key catalysts include recent performance by both players, head-to-head records, court surface preferences, injury reports, and ranking changes. Tournament seeding and draw positioning can also shift sentiment. Closer to the match date, warm-up tournament results, weather forecasts, and betting-market moves at major sportsbooks often trigger repricing. Real-time match commentary and live odds from other venues may influence trader behavior as the event approaches.