TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
New York City vs Toronto: First Half Spread
kalshi

What is the result of New York City vs Toronto?

Volume:
$14,558

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 Aug 1, 2026

Closed: Jul 31, 8:35 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¢
100¢
N/A
$14,463
N/A
N/A
$7,702
Settled
No
kalshi

Toronto wins the 1H by more than 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$95
N/A
N/A
$95
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 Toronto. It specifically evaluates whether either team secures a decisive lead, defined as more than a one-goal advantage, before halftime. The outcome hinges purely on first-half performance, ignoring the final result of the full game.

Kalshi

The event determines whether either New York City or Toronto achieves a first-half victory margin exceeding 1.5 goals in their scheduled MLS match on July 31, 2026. If New York City wins the first half by at least 2 goals (e.g., 2-0, 3-1), the market resolves positively for the first rule. Conversely, if Toronto secures a comparable lead (e.g., 2-0, 3-1), the second rule triggers a positive resolution. Only goals scored before halftime are counted. Should the match be canceled or postponed by more than two weeks, the market resolves at a fair price, ensuring equitable treatment for all participants based on prevailing conditions and probabilities at that time.

Frequently asked questions

On Kalshi, the dashboard for the NYC vs Toronto first-half spread market tracks real-time odds, price history, and 24-hour volume of $14,529. It shows how traders on Kalshi are pricing the likelihood of New York City covering the spread against Toronto in the first half, with updates reflecting market sentiment and trading activity.

On Kalshi, this market reflects trader sentiment rather than traditional sportsbook lines. Prediction market odds often diverge from sportsbook odds due to different participant motivations and information sources. Traders may price in factors beyond standard betting metrics, such as perceived momentum shifts or weather conditions. This can lead to variations in implied probabilities. The dynamics of this market allow for rapid adjustments based on real-time data inputs, whereas sportsbooks may update less frequently. Understanding these differences helps traders gauge market sentiment and potential value opportunities.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders actively set the odds through buying and selling contracts, which determines the current price. The platform’s pricing mechanism reflects the collective assessment of participants about which team is more likely to lead at halftime. Factors influencing price include recent team performance, player injuries, and tactical analysis. Volume of $14,558 and recent 24-hour volume of $14,529 indicate liquidity and trader interest. As the event approaches, shifts in public sentiment or new information can cause significant price movements.

This market resolves around Aug 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official game statistics for the first-half spread, which are checked against the market’s defined parameters after the match concludes.

Several key signals could impact this market before Aug 1, 2026. Injuries to star players, changes in coaching strategy, or weather conditions affecting game play may shift trader expectations. Performance in earlier matches or recent form can also influence odds. Media coverage highlighting tactical advantages for either team might drive volume and price changes. As the match date nears, any last-minute roster updates or strategic announcements could cause rapid adjustments. Traders should monitor these developments to anticipate potential market movements.