TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Carolina vs Green Bay: Safety
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What is the result of Carolina vs Green Bay?

Volume:
$5,145

Safety

 - Kalshi

Safety - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 30, 2026

Closed: Oct 30, 12:06 AM EST

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

Safety

View
0%
Yes 0¢No 100¢
—
N/A
$5,145
N/A
N/A
$4,355
Settled
No
Total markets: 1

Description

The event centers around a professional football game between two teams scheduled for a specific date in the future. The outcome hinges on whether either team scores a particular type of defensive play during the match. This defensive play is a rare and significant scoring method in the sport.

Kalshi

If Carolina or Green Bay record a safety in the Carolina vs Green Bay Pro Football game originally scheduled for Oct 29, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Carolina vs Green Bay safety market displays the current price, price history, and 24-hour trading volume. You can see how the market is valuing the probability of a safety occurring during the game. The current volume is $4,231, and the total volume traded to date is $5,145. This allows traders to monitor market activity and identify potential opportunities. The dashboard provides a real-time view of sentiment surrounding this specific event, offering insight into how predictions are evolving as new information becomes available.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the likelihood of a safety. Discrepancies can arise due to differing information, biases, or simply the dynamics of how each type of market operates. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges closer to the game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of a safety. The price of a contract ranges from 0 to 100, representing the implied probability of the event occurring. As more people buy contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Market participants are incentivized to provide accurate predictions, as profitable traders are rewarded and those with inaccurate beliefs may incur losses. This dynamic pricing mechanism aims to reflect the most up-to-date collective assessment of the event's likelihood.

This market resolves around Oct 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether a safety is officially recorded in the game statistics by the relevant governing body. The final result will be determined by official game data, ensuring a transparent and objective outcome. Traders will then be paid out or have their contracts adjusted based on whether a safety occurred during the Carolina vs Green Bay game, as determined by these official sources.

Several factors could influence the price of this market. News regarding injuries to key defensive players on either team could significantly shift expectations. Changes in weather conditions, such as heavy rain or strong winds, might increase the likelihood of a safety due to increased fumbles or defensive pressure. In-game events, like early turnovers or dominant defensive performances, could also cause rapid price adjustments. Finally, any significant public discussion or analysis predicting a higher or lower probability of a safety could impact trading activity and move the market.