TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 7:11 PM EST
Kalshi
This set of markets tracks how many points are scored in the final quarter of a college football game between Virginia and Wake Forest. Each market has a different threshold for the total points scored by both teams combined during that specific period. The outcomes depend solely on the game's fourth-quarter performance, excluding any overtime scoring.
All markets resolve based on the total points scored by both teams combined during the fourth quarter (excluding overtime) of the Virginia vs Wake Forest college football game scheduled for October 31, 2026. Each market has a specific numerical threshold; if the combined fourth-quarter points exceed 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 during regulation fourth-quarter play count—overtime points are excluded from all calculations.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on models and internal analysis, while this market’s prices are driven by actual money being wagered. This can lead to discrepancies, especially when there’s significant public information or a strong consensus forming. It’s common to see prediction markets react more quickly to new information and potentially provide more accurate probabilities as the event approaches, though sportsbooks have the advantage of established risk management practices.
This market resolves around Oct 31, 2026, with the outcome confirmed once the final score of the 4th quarter of the Virginia vs Wake Forest game is verifiable from credible public reporting. The resolution will be based on the official game statistics, and the market will pay out to those who correctly predicted whether the total points scored in the 4th quarter will be above or below the relevant threshold. The final score will be sourced from official sports data providers and widely available sports news outlets.
Several factors could influence the price of this market. Any news regarding key player injuries for either Virginia or Wake Forest would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring a high- or low-scoring game, could also impact trading activity. In-game performance during the first three quarters, especially if one team establishes a substantial lead, might lead traders to adjust their predictions. Finally, any late-breaking news or analysis regarding team strategies or matchups could also contribute to price fluctuations.