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400,720
Markets across
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MATCHED EVENTS:
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VS.
Kalshi:
61%
Closed: Sep 5, 3:24 PM EST
Kalshi
This market tracks which team will lead after the third quarter of a college football game between Kent State and South Carolina. It focuses solely on performance during that specific quarter, ignoring the overall game outcome. The resolution depends on the points scored by each team in the third quarter alone.
If South Carolina wins the 3rd quarter of the Kent St. vs South Carolina college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If Kent St. wins the 3rd quarter of the Kent St. vs South Carolina college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Kent St. vs South Carolina college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.
Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of each system. If there’s a significant difference between the implied probability from this market and sportsbook odds, it could signal an interesting opportunity for informed traders, though past performance is not indicative of future results.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the team leading at the end of the third quarter of the Kent State vs. South Carolina game will determine the winning outcome. The official game results, as reported by a trusted sports data source, will be used to verify the result. Traders will then be able to claim their winnings based on their positions in this market. The resolution process is designed to be transparent and based on objectively verifiable data.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Kent State or South Carolina teams could significantly shift expectations. Changes in weather forecasts, particularly if they are expected to impact the game's conditions, might also play a role. Furthermore, early performance in the first and second quarters of the game itself will undoubtedly have a substantial impact, as traders react to the unfolding events and adjust their predictions accordingly. Public sentiment and expert analysis could also contribute to price fluctuations.