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Closed: Oct 24, 2:04 AM EST
Kalshi
An upcoming college football game features two teams competing against each other, and if the match extends beyond the regular playing time due to tied scores, an additional period will be added to determine a winner. This potential extension of play adds an element of uncertainty and excitement to the contest. The outcome of whether extra time is required will depend on the performance of both teams during the game.
If at least 1 overtime period is played in the NC St. vs Stanford college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of the game going to overtime. The price of a contract reflects the market's collective assessment of that probability, ranging from 0 to 100. As more traders participate and place orders, the price fluctuates, providing a real-time indication of expectations. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what traders are willing to pay to own a contract that pays out if overtime occurs, and what they are willing to accept for a contract that pays out if it does not.
This market resolves around Oct 24, 2026, with the outcome confirmed once the result of the NC State vs Stanford game is verifiable from credible public reporting. Resolution will be based on whether the game officially goes into overtime according to the official game results. The final score and official game statistics will be used to determine if overtime occurred, and the market will settle accordingly. Traders holding contracts representing the correct outcome will receive a payout based on the final market price.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either NC State or Stanford would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring a lower-scoring, tighter game, could also shift expectations. Furthermore, any shifts in public sentiment, perhaps driven by expert analysis or social media discussion, could impact trading activity and alter the odds. Unexpected developments during the game itself, such as a series of close calls or a dramatic shift in momentum, could also lead to rapid price changes.