TOTAL VOLUME:

$146.7b

24H VOL:

$162,970,420

24H TRANSACTIONS:

2,781,800,361

OPEN INTEREST:

$1,740,912,349

501,518

Markets across

37,286

events

MATCHED EVENTS:

2,933

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

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CHI Bears vs GB Packers
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What is the result of CHI Bears vs GB Packers?

Volume:
$14,340,362

Green Bay

 - Kalshi

Green Bay - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 11, 2026

Closed: Oct 11, 4:07 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Green Bay

View
100%
53%
Yes 100¢No 0¢
—
N/A
$5,267,374
N/A
N/A
$3,462,026
Settled
Yes
kalshi

Chicago

0%
53%
Yes 0¢No 100¢
—
N/A
$9,072,988
N/A
N/A
$5,726,823
Settled
No
Total markets: 2

Intro

This market tracks whether the Green Bay Packers will win their professional football game against the Chicago Bears. Currently, Kalshi gives Green Bay a 99.0% probability of winning, while Chicago is at 1.0%. The market resolves based on the outcome of the CHI Bears vs GB Packers Pro Football game originally scheduled for Oct 11, 2026, as determined by the official game results. Keep an eye on the game itself on October 11, 2026, as the final score will determine the market’s resolution.

Kalshi

If Green Bay wins the CHI Bears vs GB Packers Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If Chicago wins the CHI Bears vs GB Packers Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Bears-Packers game tracks the current odds, price history, and 24-hour trading volume. You can see how the market is valuing different outcomes for this matchup in real time. Currently, the total volume traded on this market is $14,340,362, with $13,044,830 traded in the last 24 hours. This provides a clear picture of market activity and sentiment surrounding the game. The dashboard is your central hub for monitoring the evolving probabilities as traders react to news and information.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds to balance action and ensure profit, while this market represents the collective belief of traders who are incentivized to be accurate. You may find that this market’s probabilities shift more dynamically in response to late-breaking news or changes in public perception than traditional sportsbook odds. Discrepancies can arise due to differing information access or risk assessment among participants.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information, leading to a dynamic pricing mechanism. The more traders believe an outcome is likely, the higher its contract price will climb, and vice versa. This creates a real-time assessment of probabilities for the Bears-Packers game.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Bears-Packers game as determined by official league sources. The market will then settle, and traders will receive payouts based on their positions. It’s important to monitor news sources leading up to the resolution date to stay informed about any factors that could influence the final result.

Several factors could significantly impact this market. Any news regarding key player injuries for either the Bears or the Packers would likely cause shifts in probabilities. Major coaching changes, unexpected weather forecasts for the game day, or even significant changes in team performance during other games could also influence trading activity. Public sentiment, as reflected in media coverage and social media, can also play a role, though informed traders often prioritize concrete information over general opinion. Keep an eye on these signals as the game approaches.