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, 6:40 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either North Carolina State or Virginia in the second half of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the second half to resolve as 'Yes'.
The markets resolve based on the point differential in the second half (excluding overtime) of the North Carolina State vs. Virginia college football game scheduled for August 29, 2026. If the game is postponed but starts within 48 hours of the original time, it remains active and resolves according to the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the second half count toward the outcome. Each market specifies a different point threshold, with 'Yes' resolving if the winning team's margin exceeds that threshold.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the price for this market based on their expectations of Virginia’s second-half performance relative to the spread. The current top outcome reflects the aggregate sentiment of participants, with volume of $24,646 indicating overall interest. Prices update dynamically as new trades occur, allowing for a fluid representation of market confidence leading up to Aug 29, 2026.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score differential for the second half will be compared against the spread to determine whether Virginia covers or not, finalizing the market result based on officially recorded game data.
Injuries to key players, coaching adjustments, or weather conditions affecting the second half could shift expectations and move this market. Strong performance by either team in the first half may also influence trader sentiment, as could pre-game analyst forecasts or changes in starting lineups. Any development that impacts scoring potential or defensive effectiveness late in the game can cause rapid price changes as participants reassess probabilities.