TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 5:10 PM EST
Kalshi
These markets evaluate different scoring thresholds for the first half of a college football game between North Carolina State and Virginia. Each threshold represents a specific point total that, if exceeded by both teams combined in the first half, determines the outcome of that particular market.
All markets resolve based on the total points scored by both teams during the first half of the North Carolina State vs Virginia college football game scheduled for August 29, 2026. For each market, if the combined first-half score exceeds the specified threshold (e.g., 2.5, 6.5, 9.5 points, etc.), the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count toward these outcomes.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through continuous bidding, with the current top outcome reflecting collective expectations for the first half scoring range. The market’s probability distribution adjusts dynamically based on new information, such as lineup changes or early-game momentum, offering a real-time barometer of how participants view scoring potential before halftime.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score at halftime determines whether the over or under hits, closing the market based on official box scores and game records.
Injuries to key players, weather conditions affecting pace, and coaching strategies that open or slow scoring can all shift expectations and move this market. Any last-minute roster changes or high-profile performance trends leading up to the game may cause traders to adjust their bets, impacting the odds as kickoff approaches.