TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 4:20 PM EST
Kalshi
An October 10, 2026 college football game features two teams battling for supremacy. The market resolves based solely on which team wins the match.
If North Carolina Central wins the William & Mary vs North Carolina Central college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If William & Mary wins the William & Mary vs North Carolina Central college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own analysis and aim to balance action on both sides, while this market allows anyone to trade on their beliefs. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can take a position in this market, driving the price towards their perceived fair value. This dynamic can lead to prediction market prices being more accurate than traditional odds, though discrepancies can occur based on differing information or risk assessment.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the William & Mary vs North Carolina Central game, as reported by a trusted sports news source. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. It’s important to monitor news sources as the event approaches to stay informed about any potential factors that could influence the result.
Several factors could influence the price of this market before Oct 10, 2026. Any significant news regarding team injuries, changes in coaching staff, or unexpected player performance could shift trader sentiment. Game-day weather conditions, especially if they heavily favor one team, might also impact the market. Furthermore, large volume trades from informed individuals or groups could cause noticeable price movements. Monitoring sports news and analyzing team statistics will be crucial for understanding potential catalysts that could move this market.