TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 6:08 PM EST
Kalshi
This set of markets focuses on predicting the point differential between UCF and Pittsburgh specifically during the second quarter of their college football game. Each market corresponds to a different threshold of points by which either team must win that quarter to settle the outcome.
These markets resolve based on the point differential between UCF and Pittsburgh exclusively during the second quarter of play in their college football game scheduled for September 12, 2026. Each market specifies a different point threshold that must be exceeded by either team to result in a 'Yes' outcome. Only points scored in the second quarter count toward these markets. If the game is postponed but commences within 48 hours of its original scheduled start time, the markets remain active and resolve according to the official result. Should the game fail to start within this 48-hour window, the markets will resolve to a fair price, ensuring equitable treatment for all participants.
Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially incorporating information and perspectives not fully captured by traditional sportsbooks. While sportsbooks set initial lines based on statistical models and expert analysis, this market allows a broader range of participants to express their beliefs, which can lead to differing probabilities. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Comparing this market to sportsbook odds can reveal interesting insights into where the crowd and the experts diverge in their assessments of the game’s likely outcome.
This market resolves around Sep 12, 2026, with the outcome confirmed once the final point spread for the second quarter of the UCF vs Pittsburgh 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 the spread. Traders should monitor official sources for the final results to understand how their contracts will be settled. The outcome will be determined by the actual point difference at the end of the second quarter.
Several factors could influence the price of this market before it resolves. Any news regarding key player injuries for either UCF or Pittsburgh would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s style of play, could also impact trading activity. Unexpected announcements about coaching strategies or team morale could also play a role. Finally, as the game draws closer, any shifts in public sentiment or expert analysis regarding the likely outcome could drive changes in the market price.