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Dallas vs Philadelphia: Weather Delay
kalshi

What is the result of Dallas vs Philadelphia?

Volume:
$78

Game to be delayed due to weather

 - Kalshi

Game to be delayed due to weather - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 26, 2026

Closed: Oct 26, 11:29 PM EST

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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

View
0%
Yes 0¢No 100¢
—
N/A
$78
N/A
N/A
$53
Settled
No
Total markets: 1

Description

This event involves a professional football game between two teams originally scheduled for a specific date. If the game experiences any postponement because of weather conditions, the event is considered to have occurred. The focus is on whether external weather factors impact the game's timing.

Kalshi

If there is any delay due to weather in the Dallas vs Philadelphia Pro Football game originally scheduled for Oct 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Cowboys-Eagles weather market displays the current price, a history of price movements, and 24-hour trading volume. Currently, the volume is $78 and the total volume traded to date is $78. You can see how the market is valuing the probability of a weather delay impacting the game. The dashboard provides a real-time view of where traders stand on this question, offering insight into collective expectations. This dynamic pricing reflects the latest information and sentiment surrounding potential weather conditions.

Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they do so through different mechanisms. Sportsbooks set odds based on their internal models and risk assessment, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. Discrepancies can arise due to differing information access, biases, or simply variations in opinion. It’s common to see prediction markets incorporate information more quickly than sportsbooks, especially regarding factors not traditionally considered in point spreads or over/unders. This can lead to differences in implied probabilities.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of a weather delay, and the price fluctuates based on supply and demand. As more traders believe a delay is likely, 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 price represents the market’s consensus expectation of whether the game will be delayed due to weather. This dynamic pricing mechanism allows for real-time adjustments based on new information and changing sentiment among traders. The current price reflects the aggregated assessment of all participants.

This market resolves around Oct 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether official sources confirm a delay of the Dallas versus Philadelphia game due to inclement weather. The determination will be based on official announcements from the NFL or relevant governing bodies. Any significant delay exceeding a specified timeframe, as determined by these sources, will trigger a positive resolution for the market. The precise definition of a 'delay' will be based on publicly available information.

Several factors could significantly impact this market. The most obvious is the release of updated weather forecasts, particularly those predicting severe conditions like heavy rain, thunderstorms, or high winds. Official statements from the NFL regarding potential contingency plans or adjustments to the game schedule would also be influential. News reports about stadium preparations or concerns expressed by team officials could also move the market. Any unexpected changes in the predicted weather patterns or official communications will likely lead to shifts in trading activity and price fluctuations.