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$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
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Polymarket:
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VS.
Kalshi:
63%
Closed: Oct 31, 5:31 PM EST
Kalshi
This event involves a college football game between two teams scheduled for a specific date. The outcome depends on whether the game extends beyond the regular time through additional playing periods. The focus is on the duration of the contest rather than the final score or participants.
If at least 1 overtime period is played in the Kansas St. vs Colorado college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for profit margins, while this market is driven purely by traders expressing their beliefs about the likelihood of overtime. If a significant number of traders believe a sportsbook is undervaluing the chance of overtime, they can buy 'yes' contracts, driving up the price and potentially creating a discrepancy. It’s common to see prediction markets offer more accurate probabilities, especially as the event approaches.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of the game going to overtime. The price of a contract ranges from 0 to 100, where a price of 50 indicates a 50% implied probability. As more people buy contracts predicting overtime, 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 dynamically adjusts to reflect the collective expectations of all participants, providing a real-time assessment of the likelihood of the event occurring.
This market resolves around Nov 1, 2026, with the outcome confirmed once the result of the Kansas State vs Colorado game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into overtime according to the official game statistics. The platform will verify the outcome against these sources to determine whether contracts will pay out at $1 per contract for those who predicted overtime, or $0 for those who did not.
Several factors could influence the price of this market. Any news regarding key player injuries for either Kansas State or Colorado would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is expected, could also shift expectations. Furthermore, late-breaking news about team strategies or coaching decisions might cause traders to reassess the probability of a close game that extends into overtime. Public sentiment, reflected in social media and sports news, can also contribute to price movements in this market.