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$154.4b

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$235,918,089

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2,984,028,936

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$1,884,820,873

413,109

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40,428

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4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

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Seattle vs Tampa Bay: Spread
kalshi

What is the result of Seattle vs Tampa Bay?

Volume:
$60,679

Tampa Bay wins by over 1.5 goals

 - Kalshi

Tampa Bay wins by over 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 15, 2026

Closed: Oct 15, 10:21 PM EST

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

Tampa Bay wins by over 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$45,596
N/A
N/A
$29,702
Settled
No
kalshi

Seattle wins by over 1.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$5,020
N/A
N/A
$3,972
Settled
No
kalshi

Tampa Bay wins by over 2.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$4,152
N/A
N/A
$2,571
Settled
No
kalshi

Tampa Bay wins by over 3.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$2,430
N/A
N/A
$2,124
Settled
No
kalshi

Seattle wins by over 2.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$1,864
N/A
N/A
$1,785
Settled
No
kalshi

Tampa Bay wins by over 4.5 goals

View
0%
Yes 0¢No 100¢
—
N/A
$1,617
N/A
N/A
$1,617
Settled
No
Total markets: 6

Description

This market assesses different scoring margins in an upcoming NHL game between Seattle and Tampa Bay. It focuses on whether specific teams win by a margin exceeding various goal differentials. The outcomes depend entirely on the final score of the game as recorded by official NHL sources.

Kalshi

All markets resolve based on the official final score of the Seattle vs Tampa Bay NHL game scheduled for October 15, 2026. A win by Tampa Bay exceeding 2.5 goals or 1.5 goals resolves certain markets to Yes. Similarly, a Seattle win exceeding 1.5 or 2.5 goals resolves other markets to Yes. If the game is postponed but starts within 48 hours of its original time, markets remain open and resolve based on the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome conditions.

Frequently asked questions

On Kalshi, the dashboard for the NFL spread market tracks the current odds, price history, and 24-hour trading volume. You'll find a visual representation of how traders are pricing the likelihood of different point spreads in the Seattle versus Tampa Bay game. Currently, the total volume traded in this market is $60,546, with $60,450 traded in the last 24 hours. This provides a clear picture of market activity and sentiment surrounding the game’s expected outcome. The dashboard is a key resource for anyone looking to understand how the crowd is predicting the final score differential.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on their own models and may incorporate a margin for profit, while this market is driven by individuals trading based on their own information and beliefs. It’s common to see this market odds move in response to news, injuries, or shifts in public perception, potentially offering a different perspective than those found at sportsbooks. Discrepancies can arise due to differing levels of information and analytical approaches.

This market resolves around Oct 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the Seattle versus Tampa Bay game, as officially recorded by sports data providers, will determine the winning contracts. The resolution will be based on the official result of the game, ensuring a transparent and objective determination of the outcome. Traders will then be able to claim their winnings or adjust their strategies for future events based on the verified results.

Several signals or events could significantly move this market before resolution. Any news regarding key player injuries for either the Seattle or Tampa Bay teams would likely cause a shift in the odds. Changes in weather forecasts, particularly if they are expected to impact the game, could also influence trading activity. Unexpected news about team strategies or coaching decisions could also play a role. Finally, significant betting activity from informed traders could drive price movements, reflecting their assessment of the game’s likely outcome.