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Chicago vs Seattle: Weather Delay
⌛Ending Soon
kalshi

What is the result of Chicago vs Seattle?

Oct 22, 2026, 1:15 PM EST - Nov 2, 2026, 11:15 PM EST
Total volume:
$26
Volume 24h:
$18N/A
Liquidity:
N/AN/A
Open interest:
$25
196%

Game to be delayed due to weather

 - Kalshi

Game to be delayed due to weather - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Time left: 03h:07m:26s

Chicago vs Seattle game to be delayed due to weather

1%chance
Amount

$

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Join Kalshi and score $25 for your first trade.At 26¢ buys you 385 shares | Odds: 1% Total Payout: $385 | Net Profit: $285 Multiplier: 3.85x | ROI: 285% | APY: N/A
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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game to be delayed due to weather

Trade
1%
Yes 26¢No 100¢
26¢
N/A
$26
159%
159%
$25
3h 7m
Active
Total markets: 1

Description

This event concerns a professional football game between two teams, originally scheduled for a specific date in November 2026. The outcome depends on whether weather conditions cause any postponement of the match. The focus is on the potential impact of adverse weather on the game's timing.

Kalshi

If there is any delay due to weather in the Chicago vs Seattle Pro Football game originally scheduled for Nov 2, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Chicago vs Seattle weather delay market displays the current price, price history, and 24-hour trading volume. Currently, the volume is $18 and the total volume for this market is $26. You can see how the price fluctuates as traders buy and sell contracts representing their beliefs about whether the game will be delayed due to weather conditions. The dashboard provides a real-time view of market sentiment and allows you to track changes in expectations leading up to the event.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the diverse perspectives of many individual traders. This can lead to differences in probabilities, especially when public sentiment strongly deviates from sportsbook expectations. It’s common to see this market incorporate information that isn’t fully priced into traditional betting lines, potentially offering a different perspective on the likelihood of a weather delay impacting the game.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts. The price of a contract represents the probability of the event occurring – in this case, a weather delay for the Chicago vs Seattle game. As more traders believe a delay is likely, the price will rise, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is driven entirely by supply and demand, reflecting the collective intelligence of the traders participating. The current price reflects the aggregated belief of all participants.

This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on whether the game between Chicago and Seattle experiences a delay of at least five minutes due to inclement weather, as determined by official game authorities. The final price of the contracts will reflect whether a delay occurred, with those who predicted a delay benefiting if it happens and those who predicted no delay facing a loss.

Several factors could significantly influence this market. Changes in the weather forecast for Chicago and Seattle are the most obvious catalyst; an increased probability of rain, thunderstorms, or high winds would likely drive up the price. Official announcements from the teams or the league regarding potential game adjustments due to weather conditions would also have a major impact. Even news reports about the potential for severe weather in the region could move the market as traders react to new information and adjust their predictions.