TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Orange County vs El Paso Locomotive FC: First Half Spread
kalshi

Orange County vs El Paso Locomotive FC: First Half Spread

Volume:
$19

El Paso Locomotive FC wins the 1H by more than 1.5 goals

 - Kalshi

El Paso Locomotive FC wins the 1H by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 2, 2026

Closed: Aug 1, 10:54 PM EST

kalshi

Kalshi

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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

El Paso Locomotive FC wins the 1H by more than 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$14
N/A
N/A
$14
Settled
No
kalshi

Orange County wins the 1H by more than 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$5
N/A
N/A
$5
Settled
No
Total markets: 2

Description

This market focuses on predicting which team will dominate the first half of an upcoming soccer match by winning by a margin of more than 1.5 goals. It specifically tracks the performance of both teams during the initial 45 minutes of play, ignoring any events from the second half. The outcome depends solely on the goal difference within this timeframe.

Kalshi

The event determines whether either Orange County or El Paso Locomotive FC secures a first-half victory by more than a 1.5 goal margin in their scheduled match on August 1, 2026. If Orange County achieves this dominant first-half win, the market resolves positively for that outcome. Conversely, if El Paso Locomotive FC attains the same margin of victory in the first half, the market resolves positively for their outcome. Only goals scored before halftime contribute to the result. Should the match be canceled or rescheduled beyond 48 hours of the original date, the market resolves to a fair price, ensuring equitable treatment for all participants based on these conditions.