TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 23, 10:30 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Seattle or Tennessee specifically within the third quarter of their scheduled football game. Each market corresponds to a different point differential threshold that must be exceeded by the winning team during that quarter.
These markets resolve based on the point differential between Seattle and Tennessee exclusively during the third quarter of their Pro Football game scheduled for August 23, 2026. Each market has a specific threshold that the winning team must surpass for the market to resolve as 'Yes'. For markets where Tennessee is the potential winner, resolution occurs if Tennessee's third-quarter score exceeds Seattle's by more than 2.5, 3.5, 6.5, 7.5, or 10.5 points, respectively. Conversely, for markets where Seattle is the potential winner, resolution occurs if Seattle's third-quarter score exceeds Tennessee's by more than 2.5, 3.5, 6.5, 7.5, or 10.5 points, respectively. Only points scored during the third quarter count toward these outcomes. All markets are independent, meaning each resolves based solely on its specified threshold being met, regardless of the outcomes of other markets or the overall game result.
This market resolves around Aug 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The official game statistics will determine the point spread result for the third quarter, closing the market and finalizing all positions based on the recorded score difference.
Injuries, coaching strategies, and player rotations announced before the game can shift this market. Key practices, quarterback performance updates, and weather forecasts affecting the third quarter may also cause movement. As trading continues on Kalshi, any new information impacting the expected score differential will be reflected in real-time price adjustments.