TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Portland vs Colorado: Spread
kalshi

What is the result of Portland vs Colorado?

Volume:
$38,199

Portland wins by more than 1.5 goals

 - Kalshi

Portland wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:38 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¢
—
N/A
$19,248
N/A
N/A
$7,580
Settled
No
kalshi

Portland wins by more than 2.5 goals

0%
Yes 0¢No 100¢
—
N/A
$9,561
N/A
N/A
$6,232
Settled
No
kalshi

Colorado wins by more than 2.5 goals

0%
Yes 0¢No 100¢
—
N/A
$5,206
N/A
N/A
$5,194
Settled
No
kalshi

Colorado wins by more than 1.5 goals

0%
Yes 0¢No 100¢
—
N/A
$4,184
N/A
N/A
$3,742
Settled
No
Total markets: 4

Description

In an upcoming MLS match, Portland and Colorado will compete. The outcome depends on the margin of victory for either team, with specific thresholds defining success for each side.

Kalshi

All markets resolve based on the goal differential in the Portland vs Colorado MLS game scheduled for October 17, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. A 'Yes' outcome occurs if Portland wins by more than 2.5 goals, Portland wins by more than 1.5 goals, Colorado wins by more than 1.5 goals, or Colorado wins by more than 2.5 goals. Kalshi disclaims any official affiliation with the league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Portland vs Colorado spread tracks the current price of the spread, the 24-hour trading volume of $37,749, and the total volume traded to date, which is currently $38,199. You can also view a price history chart to see how the market has moved over time. This allows traders to analyze the market's sentiment and potential future movements. The dashboard provides a clear and concise overview of all key data points for this specific market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a sportsbook’s line is inaccurate, the prediction market price will move in the opposite direction. It’s common to see discrepancies, especially before a lot of money has been traded on Kalshi, as the market discovers a true price.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the outcome of the Portland vs Colorado spread. The price of these contracts fluctuates based on supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their predictions are correct and lose if they are wrong. This dynamic pricing mechanism aims to reflect the collective intelligence of the market participants, resulting in a real-time assessment of probabilities.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the actual point difference between the Portland and Colorado scores at the conclusion of the game. The market will then pay out to those who correctly predicted whether the actual spread would be over or under the final price on Kalshi. This ensures a transparent and objective resolution process.

Several factors could influence the price of this market before Oct 18, 2026. Any news regarding injuries to key players on either the Portland or Colorado teams would likely cause significant movement. Changes in team performance, coaching decisions, or even weather forecasts could also impact trader sentiment. Unexpected announcements related to the game, such as a change in venue or starting lineup, could also lead to price fluctuations. Monitoring these signals can help traders make informed decisions.