TOTAL VOLUME:
$154.1b
24H VOL:
$185,665,189
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,833,875,329
407,365
Markets across
40,470
events
MATCHED EVENTS:
4,365
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 9:54 PM EST
Kalshi
This event tracks the total points scored by both teams during the third quarter of a college football game. Participants can speculate on whether the combined score will exceed various thresholds. The outcome depends solely on the official game result.
The event resolves based on the total points scored by both teams in the third quarter of the Syracuse vs North Carolina college football game scheduled for October 24, 2026. Each market corresponds to a specific point threshold, and the market resolves to 'Yes' if the combined third-quarter points exceed that threshold. Only points scored during the third quarter count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks set lines to balance betting action, while this market allows traders to freely express their beliefs about the likely outcome. It's common to see discrepancies, especially before significant events or when new information emerges. Examining these differences can provide insights into where the market believes sportsbooks may be mispricing the probability of a particular result in the Syracuse vs North Carolina game.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the 3rd quarter of the Syracuse vs North Carolina game will be used to determine whether the total points scored were over or under the specified threshold. The resolution will be based on official game statistics, ensuring an objective and transparent result. Traders will then be paid out based on their positions in the market, reflecting the accuracy of their predictions.
Several factors could influence trading activity in this market. Any news regarding player injuries to key players on either the Syracuse or North Carolina teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also shift the market. Furthermore, in-game performance during the first half, and any adjustments to team strategies, could lead traders to reassess their predictions for the 3rd quarter. Public sentiment, reflected in polls or expert analysis, might also play a role in influencing the price of contracts.