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Green Bay vs New York J: 2nd Quarter Both Teams to Score
kalshi

Will both teams score in the 2nd quarter?

Volume:
$505

Both teams to score in the 2nd quarter

 - Kalshi

Both teams to score in the 2nd quarter - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Sep 20, 2026

Closed: Sep 20, 3:03 PM EST

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

Both teams to score in the 2nd quarter

View
100%
37%
Yes 100¢No 0¢
100¢
N/A
$505
N/A
N/A
$402
Settled
Yes
Total markets: 1

Description

Green Bay and New York J will battle in a football contest where each team must score points during the second quarter. Whether through touchdowns, field goals, or safeties, any scoring play before halftime will count towards meeting this requirement.

Kalshi

If Green Bay and New York J both score points in the 2nd quarter of the Green Bay vs New York J Pro Football game originally scheduled for Sep 20, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Packers-Jets 2nd quarter scoring market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $493, with a total volume of $505 traded to date. You can see how the price of a 'Yes' outcome—meaning both teams score in the 2nd quarter—has fluctuated over time, providing insight into how traders are assessing the likelihood of that event. This allows you to monitor market sentiment and potential trading opportunities related to this specific game segment.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning with—but sometimes diverging from—sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals expressing their beliefs about the probability of both the Packers and the Jets scoring in the second quarter. Differences can emerge due to varying information, biases, or simply differing interpretations of the teams’ performance and potential. It’s common to see prediction markets as a more accurate forecasting tool, especially closer to the event.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing a 'Yes' or 'No' outcome—in this case, whether both teams will score in the 2nd quarter of the Packers-Jets game. The price of these contracts fluctuates based on supply and demand, reflecting the collective belief of the traders. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders believe both teams will score, the price of the 'Yes' contract increases, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real-time.

This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether both the Green Bay Packers and the New York Jets score at least one point during the second quarter of their game. Official game statistics will be used to determine the final result. The market will then settle, and traders will receive payouts based on their positions and the final outcome of the game. It’s important to note that any scoring adjustments made after the quarter concludes will be considered.

Several signals could move this market before resolution. Any news regarding key player injuries for either the Packers or the Jets—particularly quarterbacks or offensive playmakers—would likely have a significant impact. Changes in weather forecasts, especially conditions that favor strong defense or limit offensive production, could also shift the market. Additionally, in-game performance during the first quarter, such as a dominant offensive showing by one team, could influence trader sentiment. Finally, any late-breaking news regarding coaching strategies or team morale could also contribute to price fluctuations in this market.