What is the result of Cal Poly vs Idaho St.?

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, while this market relies on individuals freely trading based on their own assessments. It's common to see discrepancies, particularly as new information emerges or public sentiment shifts. Often, prediction markets are considered more accurate than traditional polls, as traders have ‘skin in the game’ and are incentivized to be correct. However, sportsbook odds provide a valuable benchmark for comparison.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the final spread. The price of a contract reflects the probability of that spread occurring, as determined by supply and demand. As more traders buy contracts indicating a particular spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the event approaches, offering a real-time assessment of the likely outcome.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the Cal Poly vs Idaho State football game. The resolution will reflect the actual point difference between the two teams at the end of regulation play. Any overtime periods will be included in determining the final spread, and the result will be sourced from official game statistics and verified against credible public sources.

Several factors could influence trading activity and move this market. News regarding key player injuries for either Cal Poly or Idaho State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Unexpected coaching decisions or strategic adjustments announced by either team could also move the market. Finally, any significant public information released about team morale or preparation could influence trader behavior and alter the price of contracts in this market.