What is the result of Green Bay vs Minnesota?

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. As more information emerges – such as injury reports or weather forecasts – both sets of odds will adjust. However, prediction markets often become more accurate closer to the event, potentially offering a more refined probability assessment than traditional sportsbooks. It’s common to see differences in implied probabilities.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime happening. The price of a contract ranges from 0 to 100, representing the implied probability of the event occurring. As more traders buy contracts, the price increases, indicating a higher perceived chance of overtime. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price reflects the collective judgment of all participants, and the platform facilitates price discovery through this dynamic interaction. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the Green Bay Packers and Minnesota Vikings game goes into overtime, as determined by official NFL game results. The final score and official game statistics will be used to verify the outcome. The market will then settle based on whether overtime occurred during the game, providing a clear and objective result for all participants.

Several factors could significantly impact this market. News regarding key player injuries for either the Packers or Vikings would be a major catalyst. Changes in weather forecasts, particularly conditions that favor a more conservative, field-position-oriented game, could also shift expectations. Unexpected coaching decisions or strategic adjustments announced before the game could also influence trader sentiment. Finally, any significant shifts in public perception or expert analysis regarding the teams’ chances of winning could drive movement in the market.