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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Dunfermline vs Ross County
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What is the result of Dunfermline vs Ross County?

Volume:
$5,387

Ross County advances

 - Kalshi

Ross County advances - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 15, 2026

Closed: Aug 15, 12:30 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

Ross County advances

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,834
N/A
N/A
$3,834
Settled
Yes
kalshi

Dunfermline advances

0%
Yes 0¢No 100¢
100¢
N/A
$1,553
N/A
N/A
$1,553
Settled
No
Total markets: 2

Description

The progression of a soccer tournament round hinges on which team advances from a tied match, reflecting the competitive balance between the two participants.

Kalshi

The markets resolve based on which team advances from the Dunfermline vs Ross County soccer tie in Round 2 of the Scottish League Cup. If Dunfermline advances, the 'Dunfermline advances' market resolves to Yes; if Ross County advances, the 'Ross County advances' market resolves to Yes. References to FIFA or the FIFA World Cup are descriptive and do not imply endorsement or affiliation.

Frequently asked questions

On Kalshi, the dashboard for the Dunfermline vs Ross County match outcome market tracks real-time odds, price history, and 24-hour volume. It shows how traders on Kalshi are pricing the likelihood of each possible result as the event approaches. The interface updates continuously to reflect market activity, giving users insight into betting sentiment and volume of $5,387 over time.

Prediction market odds in this market often differ from traditional sportsbook lines due to unique trader dynamics and liquidity conditions. While sportsbooks may reflect expert analysis and adjusted risks, prediction markets capture crowd-sourced expectations, which can lead to variations in implied probabilities. Traders should compare both sources to identify potential value shifts or divergent views on team performance.