What is the result of Detroit vs Arizona?

Typically, prediction market odds reflect a different kind of wisdom than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, and may adjust lines to balance their risk. This market, however, is driven purely by the aggregate predictions of traders, representing what they believe is the true probability of various outcomes. While sportsbooks may initially set lines based on statistical models and expert analysis, this market evolves in real-time as new information and sentiment emerge, potentially offering a different perspective on the likely result.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more traders buy contracts for a particular outcome, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what the market believes is the fair value of each potential result, and is constantly updated as new trades are executed. This dynamic pricing mechanism allows for a real-time assessment of the event’s probabilities.

This market resolves around Oct 11, 2026, with the outcome confirmed once the final sack totals from the Detroit versus Arizona game are verifiable from credible public reporting. The market will settle based on the official statistics reported by the NFL, representing the total number of sacks recorded during the game. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. It’s important to monitor official sources for the final results as they become available.

Several factors could influence this market before resolution. Any news regarding injuries to key defensive players on either team – particularly pass rushers – would likely have a significant impact. Changes in weather conditions, such as strong winds or rain, could affect passing offenses and therefore the number of sacks. Furthermore, late-breaking reports on offensive line matchups or coaching strategies could shift trader sentiment. Unexpected changes in team performance during the game itself, even early in the first quarter, could also lead to substantial movement in this market.