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Closed: Oct 17, 3:54 PM EST
Kalshi
In the Ohio St. vs Indiana college football game set for October 17, 2026, if neither team leads at the conclusion of the fourth quarter, the game will move into overtime. During overtime, both teams will alternate possessions aiming to score more points than their opponent until one team secures a lead that cannot be matched.
If at least 1 overtime period is played in the Ohio St. vs Indiana college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Generally, prediction markets like Kalshi often reflect information beyond what’s captured in traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the wisdom of the crowd. If sportsbook odds heavily favor one team, but volume in this market suggests a significant possibility of an upset or a close game leading to overtime, that could indicate differing expectations. It’s common to see prediction markets move differently than sportsbooks, especially as new information emerges closer to the event.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of the 'Game goes to overtime' outcome. As more people buy, the price increases, indicating a higher perceived chance of overtime. Conversely, more sellers drive the price down. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective belief of all participants on Kalshi, and can be interpreted as the market’s forecast for whether the game will extend beyond regulation time. The current price is determined by the last traded price.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the Ohio State vs Indiana game officially goes into overtime according to the game’s official results. The final score and official game statistics will be used to determine if the conditions for a payout are met. The platform will verify the outcome against these sources to ensure an accurate and transparent resolution process.
Several factors could influence trading activity in this market. Any news regarding key player injuries for either Ohio State or Indiana would likely have a significant impact, as would updates on weather conditions that could affect the game's style of play. Major shifts in public sentiment, perhaps driven by expert analysis or prominent sports commentators, could also move the market. Finally, as the game draws closer and more information becomes available, increased trading volume is expected, potentially leading to more pronounced price fluctuations.