What is the result of Washington vs San Francisco?

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust prices based on their own analysis and information. This can lead to discrepancies, particularly as new information emerges or public sentiment shifts. It's common to see prediction markets more accurately reflect true probabilities, especially closer to the event, as they aggregate diverse perspectives and are incentivized to be accurate. However, sportsbook odds still provide a useful benchmark for comparison.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different rushing yard totals. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of traders about the likely outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can place limit orders to buy or sell at specific prices, or market orders to execute trades immediately at the best available price. The goal is to profit by correctly predicting whether the actual rushing yard total will be above or below the price point represented by the contracts you hold.

This market resolves around Oct 20, 2026, with the outcome confirmed once the final official rushing yard total for the Washington versus San Francisco game is verifiable from credible public reporting. The official NFL statistics will be used to determine the total rushing yards achieved by both teams combined. The market will then pay out to traders who correctly predicted whether the actual total was above or below the contract prices they traded, based on the final verified statistics. All contracts will be settled at this time.

Several factors could significantly impact this market. Any news regarding injuries to key running backs on either the Washington or San Francisco teams would likely cause substantial price movement. Changes in weather forecasts, particularly if rain or snow is predicted, could also influence the market, as inclement weather typically favors a more passing-oriented game plan. Furthermore, any updates on team strategies or coaching decisions related to running the ball could shift trader sentiment and affect the prices within this market. Game day performance during the first half could also lead to rapid adjustments.