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 29, 5:10 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the second quarter of a college football game between North Carolina State and Virginia. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that quarter to determine the outcome.
These markets resolve based on the point differential in the second quarter of the North Carolina State vs Virginia college football game scheduled for August 29, 2026. For any market to resolve to 'Yes,' the specified team must win the second quarter by more than the stated point margin. Only points scored during the second 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 the 48-hour window, all markets resolve to a fair price. The markets cover a range of thresholds from over 2.5 to over 10.5 points for both teams, allowing for varied predictions of second-quarter performance.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official game statistics for the second quarter, specifically whether Virginia covers the set spread. Once the quarter ends and scores are reported, the market will close and settle based on those confirmed numbers.
Injuries, coaching strategies, and key player performance leading up to the game can shift expectations for the second quarter and move this market. Star player updates, recent form, and even weather conditions that might affect the game’s pace all influence trader sentiment. As the start date approaches, any significant news about either team’s readiness or tactics is likely to cause price swings, with higher trading volume reflecting increased certainty or debate among participants.