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, incorporating a profit margin. This market, however, is driven by individuals trading on their own beliefs, leading to potentially more accurate probabilities, especially as the event approaches. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of a continuously updating market compared to the static nature of sportsbook lines.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different total point outcomes. The price of a contract indicates the probability of that outcome occurring, with higher prices suggesting a greater likelihood. 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 inaccurate predictions can lead to losses. This dynamic creates a market-driven assessment of the game's likely total points, reflecting the collective intelligence of participants.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total points scored in the Cal Poly vs Idaho State game will be used to determine which contracts pay out. Contracts predicting a total points value at or below the actual score will pay $100, while those predicting a higher total will expire worthless. The resolution will be based on official game statistics and will be publicly available following the conclusion of the game.

Several factors could influence this market before the game concludes. News regarding key player injuries for either Cal Poly or Idaho State would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring high or low scoring, could also impact trading activity. Late-breaking news about coaching strategies or team morale might also play a role. As the game approaches, any information that alters perceptions of the likely total points scored will likely be reflected in the price of contracts within this market.