What is the result of Notre Dame vs BYU?

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 participants to freely express their beliefs, potentially leading to more accurate probabilities. Discrepancies can arise due to differing levels of information, biases, or simply variations in how each assesses the likelihood of different outcomes. It’s common to see this market adjust more rapidly to new information than sportsbook lines, as it’s driven by continuous trading activity.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the Notre Dame and BYU team totals. The price of a contract reflects the probability of that specific outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the market collectively believes is the true probability. Traders can take either the 'buy' (yes) or 'sell' (no) side of the market, effectively making a prediction and taking on risk based on their conviction. The market dynamically adjusts based on supply and demand.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both Notre Dame and BYU will be sourced from official game statistics. The resolution will determine whether the contracts predicting specific team totals settle at $100 or $0, based on whether the actual totals align with the contract’s prediction. It’s important to note that the resolution is based on the officially recorded game results and not on any subjective interpretation.

Several factors could significantly influence this market. Any news regarding key player injuries for either Notre Dame or BYU would likely cause price fluctuations. Changes in weather forecasts, particularly if they suggest conditions favoring one team's style of play, could also move the market. Unexpected coaching decisions or shifts in team strategy announced before the game could also impact trading activity. Finally, any significant public sentiment shifts, perhaps driven by expert analysis or widespread betting patterns, could contribute to changes in the price of contracts.