TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
Heart of Midlothian vs St. Johnstone: First Half Spread
kalshi

Heart of Midlothian vs St. Johnstone: First Half Spread

Volume:
$1,699

Heart of Midlothian wins the 1H by more than 1.5 goals

 - Kalshi

Heart of Midlothian wins the 1H by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 29, 2026

Closed: Aug 29, 10:47 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Heart of Midlothian wins the 1H by more than 1.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,698
N/A
N/A
$448
Settled
Yes
kalshi

St. Johnstone wins the 1H by more than 1.5 goals

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

Description

This market assesses which team will dominate the first half of an upcoming soccer match by winning by a margin of more than 1.5 goals. It focuses specifically on the performance and scoring dynamics within the first 45 minutes of play, excluding any events from the second half.

Kalshi

The event determines whether either Heart of Midlothian or St. Johnstone will secure a decisive first-half victory in their scheduled match on August 29, 2026, winning by more than 1.5 goals. If Heart of Midlothian achieves this margin, the market resolves to Yes for the first outcome; if St. Johnstone does so, it resolves to Yes for the second. Only goals scored in the first half are considered. Should the match be canceled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price based on prevailing conditions and probabilities at that time.