TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Insights
Indices
API
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Elections
Crypto
Companies
Financials
Economics
Other
Entertainment
Science and Technology
New York City vs Montreal: First Half Spread
kalshi

New York City vs Montreal: First Half Spread

Volume:
$3,572

New York City wins the 1H by more than 1.5 goals

 - Kalshi

New York City wins the 1H by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 2:58 PM 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

New York City wins the 1H by more than 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$3,240
N/A
N/A
$1,694
Settled
No
kalshi

Montreal wins the 1H by more than 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$332
N/A
N/A
$332
Settled
No
Total markets: 2

Description

This market focuses on predicting which team will dominate the first half of an upcoming soccer match between New York City and Montreal by winning by a margin of more than 1.5 goals. It specifically tracks performance only during the initial 45 minutes of play, ignoring the final outcome of the full match.

Kalshi

The event determines whether either New York City or Montreal will secure a first-half victory with a goal differential exceeding 1.5 goals in their MLS match scheduled for October 31, 2026. Only goals scored before halftime are considered for resolution. If the match is cancelled or postponed for more than 48 hours, the market resolves at a fair price rather than defaulting to any pre-defined outcome. Both potential outcomes — New York City’s dominant first-half win or Montreal’s — are evaluated under identical structural rules, with the same conditions applying to game disruptions.