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Washington St. vs Oregon St.: 2nd Quarter Total
kalshi

What is the result of Washington St. vs Oregon St.?

Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result

Description

This event tracks the total points scored by both teams during the second quarter of a college football game. Participants predict whether the combined score will exceed specific thresholds, offering various levels of difficulty for forecasting offensive performance in a single quarter.

Kalshi

All markets resolve based on the combined points scored by Washington State and Oregon State during the second quarter of their game scheduled for October 17, 2026. Each market has a different threshold, ranging from 2.5 to 27.5 points, with higher thresholds representing more challenging predictions. Points from other quarters or overtime periods do not count. If the game is postponed but starts within 48 hours of the original time, the market remains active and resolves based on the actual second-quarter score. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants. The markets operate independently, meaning the resolution of one threshold does not affect others.

Frequently asked questions

On Kalshi, the dashboard for the Washington State vs Oregon State game tracks the current price of contracts representing predictions on the 2nd Quarter Total. You can view the historical price movement of this market, allowing you to analyze how predictions have shifted over time. The dashboard also displays the 24-hour trading volume, currently at $23,187, and the total overall volume traded, which is $26,165. This provides insight into the level of interest and activity surrounding this particular event.

Generally, prediction market odds often reflect a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds to ensure profitability, which can sometimes skew the perceived probabilities. This market, driven by the collective wisdom of traders, aims to represent the true probability of an outcome as perceived by the crowd. It's common to see differences emerge, especially as new information becomes available or public sentiment shifts leading up to the event. These discrepancies can present opportunities for informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the 2nd Quarter Total in the Washington State vs Oregon State game. The price of a contract ranges from 0 to 100, representing the probability of the 'Yes' outcome. As more traders buy 'Yes' contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market efficiently aggregates information as traders react to news, analysis, and each other's actions, resulting in a dynamic and real-time assessment of the likely outcome.

This market resolves around Oct 18, 2026, with the outcome confirmed once the final 2nd Quarter Total of the Washington State vs Oregon State game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a recognized sports data provider. The market will determine whether the total points scored in the 2nd quarter fall above or below the threshold defined by the 'Yes' and 'No' outcomes represented by the contracts traded on Kalshi.

Several factors could influence the price of this market before it resolves. Any significant news regarding player injuries, changes in coaching strategies, or even weather forecasts could impact trader sentiment. Unexpected shifts in public opinion, as reflected in polls or expert analysis, could also drive price movements. Furthermore, large-volume trades on Kalshi could quickly alter the price, especially if they signal a strong conviction about the likely outcome of the Washington State vs Oregon State game. Monitoring these signals is key to understanding potential shifts in this market.