What is the result of New Orleans vs Baltimore?

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 aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals freely trading based on their own analysis and information. As a result, you may find that the implied probabilities in this market diverge from those offered by sportsbooks, potentially offering value to informed traders. It's common to see prediction markets more accurately forecast outcomes, especially as event time approaches and more information becomes available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different passing attempt totals. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded, and those with inaccurate views may incur losses. This dynamic pricing mechanism aims to converge towards a fair and efficient assessment of the likely outcome, based on all available information and analysis.

This market resolves around Sep 20, 2026, with the outcome confirmed once the final official passing attempt count for the New Orleans versus Baltimore game is verifiable from credible public reporting. The resolution will be based on the official game statistics as recorded by the NFL. The market will determine which outcome – a specific passing attempt total – was the actual result of the game. Traders holding the winning contract will receive a payout based on the market price at resolution, while those holding losing contracts will forfeit their investment.

Several factors could influence the price movement of this market. Any news regarding injuries to key quarterbacks or wide receivers on either team would likely have a significant impact. Changes in weather forecasts, particularly conditions expected to favor either a passing or running game, could also shift expectations. Furthermore, late-breaking news about coaching strategies or adjustments to offensive schemes could influence trader sentiment. Finally, large volume trades on Kalshi itself can create momentum and drive price fluctuations as traders react to perceived information or shifts in market opinion.