What is the result of Baltimore vs Indianapolis?

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and evolving information. Sportsbooks set lines based on statistical models and expert analysis, while this market incorporates a broader range of perspectives as traders buy and sell contracts. It's common to see discrepancies, especially as new information emerges closer to the game. However, as the event approaches, the prices in this market tend to converge with sportsbook odds, representing a collective assessment of the likely outcome.

On Kalshi, this market is priced through a continuous order book where traders can buy 'yes' contracts (believing the number of interceptions will be above a certain threshold) or sell 'no' contracts (believing it will be below). On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of these contracts fluctuates based on supply and demand, reflecting the collective predictions of all participants. As more traders buy 'yes' contracts, the price increases, and vice versa. This dynamic pricing mechanism aims to accurately represent the probability of different outcomes as perceived by the market participants.

This market resolves around Sep 13, 2026, with the outcome confirmed once the final number of passing interceptions thrown in the Baltimore versus Indianapolis game is verifiable from credible public reporting. The official game statistics, as reported by a recognized sports data provider, will determine the final result. Traders holding contracts corresponding to the correct outcome will receive a payout of 100, while those holding contracts on the incorrect outcome will forfeit their investment. The resolution process is designed to be transparent and based on objective data.

Several factors could influence the price of contracts in this market. Any news regarding injuries to key quarterbacks or wide receivers on either team would likely cause significant movement. Changes in weather forecasts, particularly those predicting adverse conditions like heavy rain or strong winds, could also impact the likelihood of interceptions. Additionally, late-breaking reports about defensive strategies or coaching decisions could shift market sentiment. Finally, large trading volume from informed participants could also signal a change in expectations and drive price fluctuations.