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, 6:45 PM EST
Kalshi
This event determines which quarter of the North Carolina State versus Virginia college football game will see the highest combined score from both teams. Each quarter has its own market, and the outcome depends on where the most points are scored during regulation time.
If the 1st quarter is the highest scoring quarter in the North Carolina St. vs Virginia college football game originally scheduled for Aug 29, 2026, then the market resolves to Yes. If the 2nd quarter is the highest scoring quarter in the North Carolina St. vs Virginia college football game originally scheduled for Aug 29, 2026, then the market resolves to Yes. If the 3rd quarter is the highest scoring quarter in the North Carolina St. vs Virginia college football game originally scheduled for Aug 29, 2026, then the market resolves to Yes. If the 4th quarter (not including overtime) is the highest scoring quarter in the North Carolina St. vs Virginia college football game originally scheduled for Aug 29, 2026, then the market resolves to Yes.
Compared to traditional sportsbook odds, prediction market odds for this market often reflect a more nuanced outlook, incorporating a wider range of trader perspectives. While sportsbooks may lean on historical averages and public betting trends, the prediction market price adjusts dynamically with each new trade. This can lead to tighter spreads or sharper movements, especially as game-day analysis or injury reports surface.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score breakdown by quarter from the official game record determines which period produced the most points, settling all positions accordingly.
Key signals that could shift this market include injury updates to star players, changes in coaching strategy affecting offensive pace, weather conditions impacting gameplay, and any pre-game analyst commentary highlighting scoring potential. As these developments emerge, trader sentiment on Kalshi may adjust rapidly, moving implied probabilities toward the quarters seen as most vulnerable or explosive.