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For the college football game between TCU and Arizona, this event determines if the game extends into overtime. It will resolve positively if any overtime period begins, regardless of how brief or how many possessions occur, as long as play officially starts beyond regulation time.
If at least 1 overtime period is played in the TCU vs Arizona college football game originally scheduled for Nov 6, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and need to account for profit margins, while this market represents the collective belief of traders. If a significant number of people believe overtime is likely, the price will move in that direction, potentially diverging from the sportsbook’s initial assessment. It's common to see prediction markets more accurately forecast probabilities as the event approaches, especially when volume is high.
On Kalshi, this market is priced as a continuous contract, meaning the price fluctuates based on supply and demand from traders. Buyers and sellers set the odds by placing orders at different price points. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price represents the probability of overtime happening, scaled to a value between 0 and 100. As more traders buy contracts, the price increases, indicating a higher perceived chance of overtime. Conversely, increased selling pressure lowers the price, suggesting a lower probability.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either TCU or Arizona would likely cause significant movement. Changes in betting trends at sportsbooks could also impact trader sentiment. Furthermore, any updates on weather conditions that might affect the game's style or pace could play a role. Even public perception, fueled by social media or expert analysis, can contribute to shifts in the market price as traders react to new information.