Will both teams score in every quarter?

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set lines to balance action and incorporate a profit margin, while this market allows traders to express their own independent assessments of the game's outcome. As more information becomes available – such as team news or weather forecasts – the prediction market may adjust more rapidly than traditional sportsbooks. It's common to see discrepancies, especially before a significant amount of trading volume occurs.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing a 'Yes' or 'No' outcome – in this case, whether both Buffalo and Los Angeles will score in every quarter. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price moves based on supply and demand; increased buying pressure drives the price up, while increased selling pressure drives it down. This dynamic pricing mechanism allows the market to efficiently aggregate information and forecast the event's outcome.

This market resolves around Oct 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on official game statistics confirming whether both the Buffalo and Los Angeles teams scored in each of the four quarters of the game. The final score will be the determining factor, and the outcome will be based on official data sources. Traders will then be paid out or have their contracts settled based on whether their prediction aligned with the actual game results.

Several factors could influence the price of this market. Any news regarding key player injuries for either the Buffalo or Los Angeles teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to high-scoring offenses, could also impact trading activity. Unexpected coaching decisions or shifts in team strategies could also play a role. Finally, as the game approaches, any public statements from players or coaches regarding their offensive approach might influence traders' expectations and move the market.