What will be the 2nd quarter total?

Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance betting action, while this market is driven purely by individuals expressing their beliefs about the most likely outcome. Generally, you may find that this market incorporates information and perspectives not fully captured by sportsbooks, potentially leading to different probabilities assigned to various point totals. It is common to see discrepancies, especially as new information emerges closer to game time.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. Each contract represents a specific total points range for the 2nd quarter. The price of a contract indicates the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a particular outcome, the price increases, and vice-versa. This dynamic pricing mechanism allows the market to quickly adjust to new information and reflect the evolving expectations of those trading it.

This market resolves around Oct 18, 2026, with the outcome confirmed once the total points scored in the 2nd quarter of the Notre Dame vs BYU game is verifiable from credible public reporting. The final score, as reported by official sources, will determine the winning contract. The resolution process is designed to be objective and transparent, ensuring that the market settles accurately based on the actual event results. Traders will be able to view the resolution details on Kalshi once the event has concluded and the data is verified.

Several factors could influence the price of this market before it resolves. Any news regarding key player injuries for either Notre Dame or BYU would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also move the market. Furthermore, in-game performance during the 1st quarter, such as a dominant offensive showing by one team, could shift expectations and alter the probabilities reflected in the contract prices. Unexpected coaching decisions or strategic adjustments could also play a role in how this market evolves.