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New York City vs Chicago Fire: First Half Total
kalshi

Will the first half total exceed 0.5 goals in NYC vs Chicago Fire?

Volume:
$21,354

Over 2.5 1H goals scored

 - Kalshi

Over 2.5 1H goals scored - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 26, 2026

Closed: Jul 25, 8:35 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

Over 2.5 1H goals scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,464
N/A
N/A
$5,604
Settled
Yes
kalshi

Over 0.5 1H goals scored

100%
Yes 100¢No 0¢
100¢
N/A
$5,691
N/A
N/A
$5,250
Settled
Yes
kalshi

Over 1.5 1H goals scored

100%
Yes 100¢No 0¢
100¢
N/A
$5,200
N/A
N/A
$3,415
Settled
Yes
Total markets: 3

Description

This event covers combined first-half goal totals in the New York City vs Chicago Fire MLS soccer match scheduled for July 25, 2026. Bettors can wager on whether the combined goal count exceeds 0.5, 1.5, or 2.5 goals during the first 45 minutes of play.

Kalshi

Resolution is based on the total goals scored by both New York City and Chicago Fire combined during the first half of their professional MLS soccer game originally scheduled for July 25, 2026. Only goals scored during the first half count toward this event. The event encompasses three distinct outcomes: total goals exceeding 0.5, exceeding 1.5, and exceeding 2.5. If the game is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.

Frequently asked questions

On Kalshi, the dashboard for the NYCFC vs Chicago Fire first half total displays real-time odds and price history for this soccer matchup. Traders use this market to predict the combined number of goals scored by both teams during the opening 45 minutes. The interface shows current pricing, recent trading activity, and 24-hour volume of $19,914 to help you assess market sentiment. This prediction market lets you track how odds shift as kickoff approaches and new information emerges about team lineups or conditions.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one aggregate the collective beliefs of traders who have real money at stake. For this market, prediction market participants may price the first half total differently than sportsbooks, particularly as game time nears and new information surfaces. Comparing the two can reveal where one venue perceives greater or lesser probability than the other.

On Kalshi, this market is priced through a continuous order book where traders buy and sell shares representing different first half goal totals. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective willingness of traders to accept that result, with higher prices indicating greater perceived likelihood. As new information arrives—such as team news or weather updates—traders adjust their positions, moving prices in real time. This mechanism ensures that the market price continuously incorporates available information and trader conviction.

This market resolves around Jul 26, 2026, once the first half of the match concludes and the final goal count is verified. The outcome is confirmed against credible public sources reporting the official match result. Until that time, prices may fluctuate as traders reassess probabilities based on in-game developments, team performance, and other emerging signals. Resolution is automatic once the event is complete and the data is finalized.

Several factors could shift prices before kickoff and during the first half. Team news—such as key player injuries, lineup changes, or tactical adjustments—often triggers significant repricing. Weather conditions, pitch quality, and referee assignments may also influence scoring expectations. Early match momentum, such as an early goal or a red card, typically causes sharp price moves as traders update their forecasts. Additionally, historical performance data and recent form comparisons between the two sides can drive trading activity as new analysis emerges.