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Miami vs Chicago Fire: Total Goals
kalshi

How many total goals will Miami and Chicago Fire score?

Volume:
$711,179

Over 3.5 goals scored

 - Kalshi

Over 3.5 goals scored - Kalshi

1W

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Positive

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Vol.

·

Resolved Jul 23, 2026

Closed: Jul 22, 9:27 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Over 3.5 goals scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$258,555
N/A
N/A
$154,536
Settled
Yes
kalshi

Over 4.5 goals scored

100%
Yes 100¢No 0¢
100¢
N/A
$217,945
N/A
N/A
$86,410
Settled
Yes
kalshi

Over 2.5 goals scored

100%
Yes 100¢No 0¢
100¢
N/A
$60,659
N/A
N/A
$37,244
Settled
Yes
kalshi

Over 1.5 goals scored

100%
Yes 100¢No 0¢
100¢
N/A
$29,443
N/A
N/A
$17,524
Settled
Yes
kalshi

Over 5.5 goals scored

0%
Yes 0¢No 100¢
100¢
N/A
$104,816
N/A
N/A
$59,742
Settled
No
kalshi

Over 6.5 goals scored

0%
Yes 0¢No 100¢
100¢
N/A
$38,950
N/A
N/A
$23,043
Settled
No
kalshi

Over 7.5 goals scored

0%
Yes 0¢No 100¢
100¢
N/A
$810
N/A
N/A
$623
Settled
No
Total markets: 7

Description

This market tracks the total number of goals scored by both Miami and Chicago Fire combined during their MLS soccer match on July 22, 2026. Bettors can wager on whether the combined goal total will exceed various thresholds.

Kalshi

Resolution is based on the final goal count in the Miami vs Chicago Fire professional MLS soccer game originally scheduled for July 22, 2026, measured after 90 minutes plus stoppage time (excluding extra time or penalties). The event features tiered goal thresholds: markets resolve Yes if the combined total exceeds 1.5, 2.5, 3.5, or 4.5 goals respectively. Each threshold operates independently, allowing bettors to take positions on different scoring scenarios for the same match.

Frequently asked questions

On Kalshi, the Miami vs Chicago Fire total goals market dashboard tracks real-time odds and historical price movements for this matchup's combined goal count. The interface displays current market pricing, 24-hour volume of $701,464, and cumulative trading activity. Traders use this data to monitor how sentiment shifts as game day approaches, with the dashboard updating continuously to reflect new bets and market consensus on whether the total will land above or below the set threshold.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by trader belief and real-money commitment. Prediction markets can sometimes offer sharper, more efficient pricing because traders face direct financial consequences for accuracy. However, sportsbooks may move faster on late-breaking news. Comparing the two reveals how professional oddsmakers and decentralized crowds assess the same event differently.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers post bids and offers on the total goals outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective confidence of all active traders at any given moment. As new information emerges—team lineups, weather, injury reports—traders adjust their positions, moving the price up or down. This dynamic pricing model ensures the market stays responsive to real-world developments leading up to kickoff.

This market resolves around Jul 23, 2026, once the Miami vs Chicago Fire match concludes and the final goal tally is verified against credible public sources. The outcome is determined by the total number of goals scored by both teams combined during regulation time. No additional criteria or special conditions apply—only the official final score matters. Resolution typically occurs within hours of the match ending, allowing traders to settle their positions quickly.

Team news—injuries to key strikers or defensive players, lineup announcements, and tactical changes—can significantly shift expectations for goal output. Weather conditions on match day, such as heavy rain or wind, often reduce scoring. Recent form, head-to-head history, and any roster changes also influence trader positioning. Media reports, betting syndicates' moves, and late-breaking developments in the hours before kickoff typically trigger sharp price swings. Traders monitor all these factors to adjust their bets and capitalize on shifting probabilities.