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Closed: Sep 12, 11:28 PM EST
Kalshi
These markets focus on predicting the margin of victory in the fourth quarter of a college football game between Ohio State and Texas. Each outcome represents a different point differential threshold that must be exceeded for the market to settle positively.
All markets resolve based solely on points scored during the fourth quarter of play, excluding any overtime periods. For Ohio State markets, a 'Yes' outcome occurs if Ohio State wins the fourth quarter by more than the specified point margin (ranging from 2.5 to 10.5 points). For Texas markets, a 'Yes' outcome occurs if Texas wins the fourth quarter by more than the specified point margin (ranging from 2.5 to 10.5 points). If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the official final result. If the game fails to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds.
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 aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. Often, you'll find that prediction markets are more accurate than traditional point spreads, especially as the event draws closer and more information becomes available. However, sportsbook odds may move in response to changes in this market, and vice versa, creating a dynamic interplay between the two.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the fourth quarter. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. Traders are essentially betting on whether Ohio State will win by more or less than the specified spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates the market's collective expectation, and changes in price reflect new information or shifts in sentiment among traders. This dynamic pricing mechanism allows for a real-time assessment of the likely outcome.
This market resolves around Sep 13, 2026, with the outcome confirmed once the final point spread of the fourth quarter is verifiable from credible public reporting. The resolution will be based on the official result of the game as determined by the governing sports authority. Traders holding contracts on the correct spread will receive a payout of 100, while those holding contracts on the incorrect spread will receive nothing. It’s important to monitor the game closely as it progresses to understand how the outcome will impact this market.
Several signals could significantly move this market before resolution. Any news regarding injuries to key players on either Ohio State or Texas would likely impact the spread. Changes in weather forecasts, particularly if they suggest adverse conditions, could also influence trading activity. Furthermore, late-breaking news about team strategies or coaching decisions might prompt traders to adjust their positions. Public sentiment, as reflected in polls or expert analyses, could also play a role, though this market represents independent assessment. Monitoring these factors can help you understand potential shifts in the price of contracts.