What will be the 4th quarter total?

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust prices based on their own analysis and information. If there’s a significant discrepancy, it may indicate disagreement between the public’s collective prediction and the sportsbook’s assessment. It’s common to see prediction markets more accurately forecast probabilities, especially as event time approaches, as they incorporate a wider range of perspectives.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of the event occurring. As more people buy contracts predicting a certain outcome, 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 price reflects the collective belief of all participants, creating a dynamic and real-time assessment of the likely outcome for the total points scored in the 4th quarter of the Notre Dame vs BYU game.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total points scored in the 4th quarter of the Notre Dame vs BYU game, as reported by official sources, will determine whether contracts settle at $100 or $0. The resolution process relies on publicly available data to ensure an objective and transparent outcome for all traders participating in this market.

Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either Notre Dame or BYU would likely cause significant movement. Changes in weather conditions, particularly if they are expected to affect scoring, could also impact trading activity. Additionally, any shifts in public perception, perhaps driven by expert analysis or updated statistical models, could lead to traders adjusting their positions and altering the market price. Game day developments, such as early scoring drives, will also have a substantial effect.