What is the result of Denver vs San Francisco?

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 need to account for a profit margin, while this market is driven purely by traders expressing their beliefs. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the price in this market will adjust accordingly. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams' capabilities. It's common to see prediction markets offer more accurate probabilities, especially closer to the event.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing different outcomes – in this case, the total number of passing completions. The price of each 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. As more traders participate and new information becomes available, the prices will fluctuate, providing a dynamic assessment of the likely result. The market depth shows the volume available at different price points, indicating the strength of conviction behind each potential completion total.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of passing completions achieved during the Denver versus San Francisco game will be the determining factor. This data will be sourced from official game statistics and verified against credible public sources to ensure accuracy. Traders holding contracts corresponding to the correct completion total will receive a payout, while those holding contracts on incorrect outcomes will not. The resolution process is designed to be transparent and based on objective data.

Several factors could influence the price movement in this market. Any news regarding injuries to key quarterbacks or wide receivers on either team would likely cause significant shifts. Changes in weather forecasts, particularly if they predict heavy rain or strong winds, could also impact the expected number of passing completions. Unexpected coaching decisions or strategic adjustments announced before the game could also move the market. Finally, late-breaking news about player availability or team dynamics could all contribute to price fluctuations as traders react to new information.