Will both teams score in every quarter?

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which are set by oddsmakers. Sportsbooks may incorporate biases or seek to balance their risk, while this market aggregates the diverse perspectives of many traders. It’s common to see the prediction market odds adjust more rapidly to new information, such as injury reports or weather forecasts, than traditional sportsbook odds. However, as the event approaches, the two may converge as more information becomes public and the probabilities become clearer.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the ‘Yes’ outcome – that both teams will score in every quarter. The price of the contract fluctuates based on supply and demand, with higher prices indicating a greater perceived probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at different price points, giving traders insight into the current order flow and potential price movements. This dynamic pricing mechanism allows the market to efficiently reflect the collective beliefs of all participants.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether both the Minnesota Vikings and the New Orleans Saints score at least one point in each of the four quarters of the game. Official game statistics from a reputable sports data provider will be used to determine the final result. The market will then pay out to those who correctly predicted whether both teams would score in every quarter.

Several factors could significantly impact this market. Any news regarding key player injuries on either the Minnesota Vikings or the New Orleans Saints, particularly quarterbacks or key offensive players, would likely cause price fluctuations. Changes in weather forecasts, such as the prediction of heavy rain or strong winds, could also influence the market, as these conditions can affect scoring. Finally, any significant shifts in public perception, perhaps driven by expert analysis or media coverage, could also move the market as traders adjust their positions based on new information.