Who has the longest rush?

Often, 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 risk management, while this market aggregates the opinions of many individual traders. If a significant number of traders believe a sportsbook is undervaluing or overvaluing a player’s chances, the prediction market prices will adjust accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts, offering potential value for informed traders.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief in whether a specific player will have the longest rush. As more people buy a contract for a player, the price increases, reflecting a higher perceived probability of that outcome. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a contract represents the probability of that player having the longest rush, scaled between 0 and 100. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities in real time.

This market resolves around Sep 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The player with the longest single rushing attempt, as officially recorded by the NFL, will determine the winning contract. The official NFL game statistics will be used to verify the outcome. Traders holding contracts for the player with the longest rush will receive a payout, while those holding contracts for other players will not. The resolution process ensures a fair and transparent outcome based on official data.

Several signals could significantly impact this market. Any news regarding player injuries, changes in team strategy, or weather conditions could shift trader sentiment. A key running back being ruled out with an injury would likely increase the probabilities for other players. Additionally, pre-game reports about expected play calling or defensive matchups could influence trading activity. Unexpected news or developments leading up to the game are likely to cause fluctuations in the prices within this market, as traders react to the latest information.