TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:25 PM EST
Kalshi
This market tracks whether North Carolina will win its college football game against Pittsburgh. Currently, Kalshi gives North Carolina a 61.0% probability of winning, while Pittsburgh is at 38.0%. The market will resolve based on the outcome of the North Carolina vs Pittsburgh game originally scheduled for October 10, 2026, as determined by the official result of that game. Keep an eye on the game itself on October 10, 2026, as the final score will determine the resolution of this market.
If Pittsburgh wins the North Carolina vs Pittsburgh college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If North Carolina wins the North Carolina vs Pittsburgh college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to continuously adjust probabilities based on new information and their own analysis. If sportsbook odds strongly disagree with this market, it could suggest a potential opportunity for informed traders. However, it’s important to remember that both represent probabilities of an outcome, and discrepancies can arise due to differing perspectives and risk assessments.
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 North Carolina vs Pittsburgh game, as reported by a trusted sports authority. The platform will verify the result against these sources to determine the winning outcome. Traders holding contracts for the winning outcome will be paid out according to the final market price at resolution.
Several factors could influence this market before resolution. Any significant news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could all shift trader sentiment. Major upsets in other games involving these teams, or updated statistical analysis, could also lead to price movements. Public perception and media coverage surrounding the game could also play a role, as traders react to evolving narratives and expectations. Monitoring these signals can help to understand potential shifts in the market.