TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Ymer vs Skatov
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Ymer vs Skatov

Volume:
$227,511

Timofey Skatov

 - Kalshi

Timofey Skatov - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 12:20 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

Timofey Skatov

View
100%
Yes 100¢No 0¢
100¢
N/A
$123,913
N/A
N/A
$86,097
Settled
Yes
kalshi

Elias Ymer

0%
Yes 0¢No 100¢
100¢
N/A
$103,598
N/A
N/A
$59,743
Settled
No
Total markets: 2

Description

Elias Ymer and Timofey Skatov compete in the 2026 Wimbledon Men's Singles Qualification Final. The winner of this professional tennis match will be determined after play begins.

Kalshi

Resolution requires that a ball be played in the match. If the match does not occur before play begins due to injury, walkover, forfeiture, or other 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

On Kalshi, the dashboard for the Ymer vs Skatov 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 implied probability for each player, review the 24-hour trading volume, and track how sentiment has shifted since the market opened. The interface shows historical price data, allowing you to see how confidence in each outcome has evolved over time. This live tracking helps you understand market consensus and identify potential trading opportunities before the match concludes.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance their book and manage risk, while prediction markets like this one aggregate the collective beliefs of traders who have real money at stake. Prediction markets can sometimes offer sharper, more efficient pricing because participants are directly rewarded for accuracy rather than betting against a fixed line. Comparing this market's odds to major sportsbooks can reveal whether traders are pricing the outcome differently than professional oddsmakers.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares 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 share reflects the marginal probability traders assign to that outcome, ranging from $0 to $1. As new information emerges or sentiment shifts, traders adjust their orders, and the price updates in real time. This continuous price discovery process ensures the market reflects the most current expectations about the match result.

This market resolves around Jun 24, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official match result, with no ambiguity about the winner. Until that time, traders can continue to buy and sell shares as new developments or pre-match analysis influence their views. Resolution is automatic once the event is finalized and reported by authoritative sports sources.

Several factors could shift trader sentiment before the match. Recent form, head-to-head records, and injury updates for either player are key catalysts. Court surface preference, weather conditions on match day, and any pre-match statements or confidence indicators from the players themselves can influence odds. Betting activity from professional syndicates or sharp money may also signal new information. Social media momentum, expert commentary, and betting line movements at major sportsbooks can trigger repricing as traders react to external signals and adjust their positions accordingly.