What is the result of Dallas vs Green Bay?

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional 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 trading based on their own information and analysis. If a significant number of traders believe a particular outcome is more likely than sportsbooks suggest, the price will move accordingly, potentially offering value to informed bettors. It’s common to see discrepancies, especially as new information emerges.

On Kalshi, this market is priced through a continuous order book, meaning traders buy and sell contracts representing the probability of the total points scored in the 2nd quarter falling within a certain range. The price of a contract reflects the market’s collective assessment of that probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the market believes is the fair value. The price is expressed as a value between 0 and 100, where 100 represents a 100% probability of the event occurring, and 0 represents a 0% probability.

This market resolves around Oct 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the total points scored in the 2nd quarter of the Dallas vs. Green Bay game will be used to determine the result. The official NFL game statistics will serve as the source for this information. Traders who correctly predicted the outcome will be paid out based on the final price of the contracts they held when the market closed. The resolution process is designed to be transparent and objective.

Several factors could influence the price of this market. Any news regarding key player injuries for either the Cowboys or the Packers would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions impacting scoring, could also shift the price. Furthermore, in-game performance during the first quarter – such as a dominant offensive showing or a series of turnovers – could lead traders to reassess their probabilities. Finally, even broader trends in NFL scoring or public sentiment could play a role in shaping the market’s direction.