TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 4:28 PM EST
Kalshi
These markets evaluate different thresholds of points scored in the first quarter of a college football game between North Carolina State and Virginia. Each threshold represents a specific point total that, if exceeded, determines the outcome of that particular market.
All markets resolve based on the total points scored by both teams combined during the first quarter of the North Carolina State vs Virginia college football game scheduled for August 29, 2026. Each market has a unique threshold; if the combined score exceeds that threshold, the market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first quarter count toward these markets.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first quarter will be compared against the set total to determine whether the over or under hits. No additional analysis or interpretation is needed — the result is based solely on the official game data released after the quarter ends, ensuring a clear and objective resolution for all participants.
Several signals could shift this market before it resolves. Key starters or high-impact players being listed as questionable or out could lower expected scoring, pushing odds toward the under. Conversely, reports of strong recent form or aggressive offensive strategies from either team may increase scoring expectations and favor the over. Coaching comments hinting at fast-paced play, weather conditions affecting game flow, or even early in-game momentum once the first quarter begins can all cause rapid adjustments in pricing as traders react to new data.