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406,065
Markets across
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events
MATCHED EVENTS:
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PLATFORM COVERAGE:
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VS.
Kalshi:
61%
Closed: Aug 13, 9:28 PM EST
Kalshi
This market focuses on determining which team will score the most points in a specific quarter of an upcoming football game between Detroit and Cincinnati. The outcome depends solely on the performance of each team during that quarter, with a separate outcome for a tie if both teams finish the quarter with equal scores.
If Cincinnati wins the 3rd Quarter of the Detroit vs Cincinnati Pro Football game originally scheduled for Aug 13, 2026, then the market resolves to Yes. If Detroit wins the 3rd Quarter of the Detroit vs Cincinnati Pro Football game originally scheduled for Aug 13, 2026, then the market resolves to Yes. If neither team wins the 3rd Quarter of the Detroit vs Cincinnati Pro Football game originally scheduled for Aug 13, 2026, then the market resolves to Yes.
Compared to traditional sportsbook lines, prediction market odds for this market often reflect a different risk assessment because they are driven by trader sentiment rather than set by oddsmakers. While sportsbooks may incorporate broader factors like team form and injuries, prediction markets can shift more quickly based on real-time news or weather updates that might affect the third quarter specifically.
This market resolves around Aug 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner is determined by which team is leading on the scoreboard at the end of the third quarter of play. No additional analysis or interpretation is needed — the result is simply a matter of public record once the game concludes.
Several signals could shift this market before it resolves: key player injuries or substitutions, weather interruptions that affect momentum, coaching strategies tailored to the third quarter, and even early scoring patterns that hint at which team may maintain control. Any sudden change in game dynamics — such as an early lead or a turnover — may cause rapid adjustments in trader sentiment and market pricing.