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$154.4b

24H VOL:

$235,918,089

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2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

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40,428

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4,364

PLATFORM COVERAGE:

5

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Minnesota vs Saint Louis: Spread
kalshi

What is the result of Minnesota vs Saint Louis?

Volume:
$152,180

Saint Louis wins by more than 1.5 goals

 - Kalshi

Saint Louis wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:38 PM EST

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

Saint Louis wins by more than 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$63,350
N/A
N/A
$26,181
Settled
No
kalshi

Saint Louis wins by more than 2.5 goals

0%
Yes 0¢No 100¢
—
N/A
$52,042
N/A
N/A
$36,353
Settled
No
kalshi

Minnesota wins by more than 1.5 goals

0%
Yes 0¢No 100¢
—
N/A
$24,174
N/A
N/A
$11,826
Settled
No
kalshi

Minnesota wins by more than 2.5 goals

0%
9%
Yes 0¢No 100¢
—
N/A
$10,007
N/A
N/A
$6,504
Settled
No
kalshi

Saint Louis wins by more than 3.5 goals

0%
Yes 0¢No 100¢
—
N/A
$2,608
N/A
N/A
$2,367
Settled
No
Total markets: 5

Description

The spread outcome for Minnesota against Saint Louis will depend on which team secures a dominant victory. Strategic adjustments by coaches could significantly influence the size of the winning margin in this clash.

Kalshi

Markets resolve to 'Yes' if Minnesota wins by more than 2.5 goals or by more than 1.5 goals, and separately if Saint Louis wins by more than 1.5 goals or by more than 2.5 goals, all in the same game scheduled for Oct 17, 2026, after 90 minutes plus stoppage time. Extra time and penalties are excluded. Each market is evaluated independently based on the final win margin.

Frequently asked questions

On Kalshi, the dashboard for the Minnesota vs Saint Louis spread tracks the current price of contracts representing whether the final point spread will be above or below a certain value. You can view the historical price action, allowing you to analyze how traders’ expectations have shifted over time. The dashboard also displays the 24-hour trading volume of $147,501 and the total volume traded to date of $151,667. This provides insight into market activity and interest in the Minnesota vs Saint Louis spread.

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 to balance action, while this market represents a broader range of opinions. If a significant discrepancy exists between the two, it may signal an opportunity for informed traders. However, it’s important to remember that both represent probabilities of an outcome, and neither is guaranteed to be correct. Examining these differences can be a useful part of your overall analysis.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of a particular outcome occurring. As more people buy contracts predicting a certain spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, reflecting the collective intelligence of those trading. This creates a real-time assessment of the likely outcome of the Minnesota vs Saint Louis game.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Minnesota vs Saint Louis game, as reported by a major sports data provider, will determine the winning contracts. Traders who correctly predicted the spread will receive a payout based on the contract price at resolution. It’s important to monitor the event closely as the resolution date approaches to understand any potential factors that could influence the final result.

Several signals could significantly move this market. Any news regarding injuries to key players on either the Minnesota or Saint Louis teams would likely impact the spread. Changes in coaching strategies, weather forecasts for the game day, or even significant shifts in public perception based on pre-game analysis could all influence trading activity. Unexpected news about team morale or internal conflicts could also play a role, as traders adjust their predictions based on the latest information available before Oct 18, 2026.