TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Dallas vs Green Bay: 2nd Quarter Winner
kalshi

What is the result of Dallas vs Green Bay?

Volume:
$128,910

Green Bay

 - Kalshi

Green Bay - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 10:17 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%
Yes 100¢No 0¢
—
N/A
$74,750
N/A
N/A
$36,316
Settled
Yes
kalshi

Dallas

0%
44%
Yes 0¢No 100¢
—
N/A
$30,512
N/A
N/A
$16,882
Settled
No
kalshi

Tie

0%
13%
Yes 0¢No 100¢
—
N/A
$23,648
N/A
N/A
$16,623
Settled
No
Total markets: 3

Description

This market determines which team will score the most points in a specific quarter of an upcoming football game between Dallas and Green Bay. It focuses solely on performance during the second quarter, ignoring the overall game result or other quarters.

Kalshi

If Green Bay wins the 2nd Quarter of the Dallas vs Green Bay Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes. If Dallas wins the 2nd Quarter of the Dallas vs Green Bay Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes. If neither team wins the 2nd Quarter of the Dallas vs Green Bay Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Cowboys vs Packers 2nd quarter market provides a real-time view of how traders are pricing the potential outcomes. You’ll find the current odds for each team to win the second quarter, along with a price history chart illustrating how those odds have shifted over time. The dashboard also displays the 24-hour trading volume, currently at $127,687, and the total overall volume traded in this market, which is $128,910. This allows you to gauge market sentiment and activity surrounding the game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on models and internal analysis, while this market is driven by individuals actively trading and expressing their beliefs about the game’s outcome. Often, prediction markets are considered more accurate forecasters than traditional methods, especially when there is significant public interest. However, sportsbook odds can provide a useful benchmark for comparison, and discrepancies may present opportunities for informed traders.

On Kalshi, this market is priced through a continuous auction mechanism. Traders buy and sell contracts representing each possible outcome—in this case, either the Cowboys or the Packers winning the second quarter. The price of each contract reflects the probability of that outcome, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time assessment of the game’s potential trajectory. The market efficiently incorporates diverse perspectives and data points.

This market resolves around Oct 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the Dallas vs Green Bay game will be declared the winner of this market. Official game statistics and results from reputable sports news sources will be used to determine the final result. Traders will then be able to claim their winnings based on the final outcome and their positions in the market.

Several factors could influence trading activity in this market. News regarding injuries to key players on either the Cowboys or the Packers would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s style of play, could also impact the market. Unexpected announcements about coaching strategies or team morale could also play a role. Finally, any significant public sentiment shifts, perhaps driven by pre-game analysis or expert opinions, could move this market.