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24H VOL:

$134,145,987

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$1,441,166,947

406,422

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30,383

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PLATFORM COVERAGE:

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Portland vs Salt Lake: Spread
kalshi

What is the goal differential in Portland vs Real Salt Lake?

Volume:
$159,268

Portland wins by more than 1.5 goals

 - Kalshi

Portland wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 26, 2026

Closed: Jul 26, 12:46 AM EST

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

Portland wins by more than 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$88,165
N/A
N/A
$41,070
Settled
No
kalshi

Salt Lake wins by more than 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$33,634
N/A
N/A
$21,592
Settled
No
kalshi

Portland wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$26,143
N/A
N/A
$16,247
Settled
No
kalshi

Salt Lake wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$11,327
N/A
N/A
$9,958
Settled
No
Total markets: 4

Description

This event covers the goal differential in the Portland vs Real Salt Lake MLS soccer match scheduled for July 25, 2026. Bettors can wager on whether either team will win by specific goal margins during the 90 minutes of regulation play plus stoppage time.

Kalshi

Resolution is based on the final goal differential in the Portland vs Real Salt Lake professional MLS soccer game originally scheduled for July 25, 2026, measured after 90 minutes plus stoppage time (excluding extra time and penalties). Outcomes include Portland winning by more than 1.5 or 2.5 goals, and Real Salt Lake winning by more than 1.5 or 2.5 goals. Each outcome resolves to Yes if the specified team achieves the required margin of victory, and No otherwise. Draws and victories not meeting the threshold margin resolve to No for all outcomes.

Frequently asked questions

The dashboard on Kalshi tracks real-time odds and historical price movement for the Portland vs Salt Lake spread market. You can monitor current implied probabilities, 24-hour volume of $149,074, and total volume of $159,268 to gauge trader activity and conviction. The interface displays how the spread odds have shifted over time, helping you identify trends and spot when significant money enters or exits the market. This data refreshes continuously, giving you a live window into how prediction market participants are pricing the expected point differential between these two teams.

Prediction market odds and 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 aggregate the beliefs of traders risking real capital. This market aggregates the collective forecast of participants who profit or lose based on accuracy, which can reveal signals that traditional sportsbooks lag to price in. Comparing the two can highlight where sharp traders see value or where public perception may be mispriced relative to fundamental expectations.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts tied to the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the collective probability estimate of all active traders at that moment. As new information emerges—injury reports, recent team performance, or betting market shifts—traders adjust their positions, moving the price up or down. This dynamic pricing ensures the market stays responsive to real-world developments and trader sentiment throughout the event window.

This market resolves around Jul 26, 2026, once the Portland versus Salt Lake game concludes and the final spread is verifiable from credible public sources. The outcome is determined by comparing the actual point differential to the spread specified in the market contract. Traders who correctly predicted whether the spread would fall above, below, or at the specified threshold receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours of the final whistle, pending confirmation of official game statistics.

Key catalysts include player injuries or roster changes announced before game time, which can shift team strength and expected scoring margins. Recent performance trends, head-to-head matchup history, and home-court advantage also influence trader positioning. Major betting market moves at sportsbooks can signal sharp action and prompt prediction market adjustments. Weather conditions, travel schedules, and back-to-back game fatigue are secondary factors that sophisticated traders monitor. As game day approaches, any breaking news about team health or lineup decisions typically triggers rapid repricing in this market.