TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 12:14 AM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Bettors can choose from various thresholds to speculate on whether one team will establish a significant lead over the other before halftime.
All markets resolve based solely on points scored during the first half of the NC St. vs Stanford college football game scheduled for Oct 23, 2026. Each market has a specific point differential threshold; if the winning team exceeds that margin by the end of the first half, the market resolves to Yes, otherwise No. If the game is postponed but starts within 48 hours of the original time, betting continues and resolves based on the actual result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold chosen.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and often incorporate a profit margin, while this market is driven by individuals trading on their own beliefs. If a significant discrepancy exists between this market and sportsbook lines, it could indicate that traders believe the sportsbook is mispricing the probability of a particular outcome. It's important to remember that both represent probabilities, but are derived through different mechanisms.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the first half of the NC State versus Stanford game will be used to determine which contracts pay out. Successful contracts will be those predicting a spread that matches the actual result. The platform will verify the outcome against official game statistics to ensure accuracy and transparency.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the NC State or Stanford teams would likely cause significant movement. Changes in coaching strategies or unexpected weather conditions could also impact trader sentiment. Furthermore, as the game approaches, any public analysis or expert opinions that deviate from the current market consensus could lead to shifts in price. Monitoring these signals will be crucial for understanding potential market movements.