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Green Bay vs New England: Weather Delay
kalshi

Will Green Bay vs New England be weather delayed?

Oct 27, 2026, 12:20 AM EST - Nov 8, 2026, 7:25 PM EST
Total volume:
$183
Volume 24h:
$32N/A
Liquidity:
N/AN/A
Open interest:
$7
73%

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 8, 2026

Time left: 06d:01h:35m

Green Bay vs New England game to be delayed due to weather

16%chance
Amount

$

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Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 55¢ buys you 182 shares | Odds: 16% Total Payout: $182 | Net Profit: $82 Multiplier: 1.82x | ROI: 82% APY not meaningful 6 days to resolution
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game to be delayed due to weather

Trade
16%
13%
Yes 55¢No 83¢
38¢
N/A
$183
21%
N/A
$7
6d 1h 35m
Active
Total markets: 1

Description

This market tracks whether weather conditions will cause any delay in the Green Bay vs New England Pro Football game scheduled for November 8, 2026. A delay includes changes to the start time or stoppages during play due to weather. Delays from non-weather causes do not count.

Kalshi

If there is any delay due to weather in the Green Bay vs New England Pro Football game originally scheduled for Nov 8, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Packers-Patriots weather market tracks the current odds, price history, and 24-hour trading volume. You’ll see how the implied probability of a weather delay shifts over time as traders buy and sell contracts. Currently, the 24-hour volume is $32, and the total volume traded to date is $183. This provides a real-time view of market sentiment regarding potential disruptions to the game due to weather conditions. The dashboard is a key tool for understanding how the market is interpreting forecasts and related news.

Typically, prediction market odds reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective forecast of informed traders. Often, prediction markets are more accurate than traditional betting markets, especially when forecasting probabilities. However, it’s common to see discrepancies, particularly in the early stages of trading, as the market digests information and establishes a consensus view. It's important to remember that this market is driven by participants’ beliefs about the likelihood of a weather delay, not necessarily the implied probabilities from sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders can buy and sell contracts representing their belief about whether a weather delay will occur during the Packers-Patriots game. The price of a contract reflects the probability of that outcome, with higher prices indicating a greater perceived chance. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its forecast accordingly. The current market reflects the aggregated intelligence of all participants.

This market resolves around Nov 9, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether a delay of at least five minutes is officially recorded during the Green Bay Packers versus New England Patriots game due to inclement weather. Official game reports and weather data will be used to determine if a qualifying delay occurred. The final price of the contracts will reflect the confirmed outcome, allowing traders to realize their gains or losses based on their predictions.

Several factors could significantly influence this market. Changes in the weather forecast are the most obvious catalyst; a shift towards a higher probability of rain, thunderstorms, or strong winds would likely increase the price of contracts predicting a delay. News reports about potential game-day conditions, such as stadium preparations for inclement weather, could also move the market. Unexpected announcements from the NFL regarding game scheduling or safety protocols could also play a role. Finally, any significant shifts in public sentiment or expert analysis regarding the weather’s impact on the game could influence trading activity.