What is the result of Boise St. vs Washington 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 allows anyone to express their belief about the likely total points scored. Often, prediction markets are more accurate than sportsbook odds, especially when there's significant public interest and trading volume. However, it’s important to remember that both represent probabilities and are subject to change as new information becomes available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point totals for the Boise State vs. Washington State game. The price of each contract reflects the market’s expectation of whether the actual total points scored will be above or below that specific number. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the collective assessment of the likely outcome. This dynamic pricing mechanism allows for a real-time assessment of probabilities as new information emerges.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final points total scored in the Boise State vs. Washington State game will be used to determine which contracts pay out. Contracts predicting a total points value equal to or below the actual score will pay out $100, while those predicting a higher total will expire worthless. The resolution will be based on official game statistics as reported by a trusted source.

Several factors could influence the price of contracts in this market. Any news regarding injuries to key players on either the Boise State or Washington State teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable for high or low scoring, could also move the market. Late-breaking news about team strategies or coaching decisions might also cause shifts in sentiment. Finally, large trading volume from informed participants could signal new information or a change in expectations, thereby influencing the price.