What is the result of Arizona vs San Francisco?

Generally, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, while this market incorporates a broader range of information and perspectives from many traders. It’s common to see prediction market probabilities shift more dynamically in response to news or late-breaking information compared to sportsbook odds, which may be slower to adjust. While both aim to predict the outcome, the mechanisms and sources of information differ, leading to potential discrepancies in the perceived probabilities.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different outcomes for the total passing attempts. The price of each contract reflects the market’s collective belief about the probability of that outcome occurring. As more traders participate, the prices converge to represent a consensus view. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, displayed on the dashboard, shows the available buy and sell orders at different price points, giving traders insight into potential price movements and liquidity.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final passing attempts total from the Arizona versus San Francisco game, as reported by official league sources, will determine the winning outcome. The resolution will reflect the actual number of passing attempts recorded during the game, regardless of any pre-game expectations or predictions. Traders holding contracts corresponding to the correct outcome will receive a payout, while those holding losing contracts will forfeit their investment.

Several factors could influence the price of this market. Any news regarding injuries to key quarterbacks or wide receivers on either team would likely cause significant movement. Changes in weather forecasts, particularly conditions expected to favor either a passing or running game, could also impact trading activity. Late-breaking reports about team strategies or coaching decisions could also shift market sentiment. Finally, large volume trades from informed participants could also trigger price fluctuations as traders react to new information or adjust their positions.