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410,833
Markets across
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MATCHED EVENTS:
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PLATFORM COVERAGE:
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Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 9:38 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the third quarter of a college football game between Arkansas and Vanderbilt. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that quarter to resolve as a win.
These markets resolve based on the point differential exclusively within the third quarter of the Arkansas vs Vanderbilt college football game scheduled for October 17, 2026. Each market has a specific threshold that must be exceeded by either team—for example, Vanderbilt winning by more than 10.5 points or Arkansas winning by more than 2.5 points—to resolve as 'Yes.' Only points scored during the third quarter count toward these outcomes. If the game is postponed but commences within 48 hours of its original start time, the markets remain active and resolve according to the official result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's ultimate status.
Prediction market odds often reflect the collective wisdom of informed traders, and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines to balance action and ensure profit, while this market is driven by individuals predicting the outcome. Discrepancies can emerge due to differing information, biases, or simply varying interpretations of the teams' strengths. It’s common to see prediction markets move more quickly to incorporate new information, such as injury reports or weather forecasts, compared to sportsbook adjustments. Analyzing these differences can be a valuable strategy for informed betting.
This market resolves around Oct 18, 2026, with the outcome confirmed once the final score of the 3rd quarter of the Arkansas versus Vanderbilt football game is verifiable from credible public reporting. The resolution will be based on the official game statistics, determining whether Vanderbilt won the 3rd quarter by more than 3.5 points. Any adjustments or corrections to the official score will be taken into account to ensure an accurate and fair resolution of this market.
Several factors could influence the price of this market leading up to the game. Significant news regarding player injuries to key offensive or defensive players on either team would likely cause movement. Changes in weather forecasts, particularly if they suggest adverse conditions impacting the passing or running game, could also shift the market. Unexpected coaching decisions or strategic adjustments announced before kickoff might also play a role. Finally, any late-breaking news related to team morale or internal conflicts could affect trader sentiment and move the price.