TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 1:53 PM EST
Kalshi
This market focuses on predicting which team will score more points in a specific quarter of a college football game between Boston College and Duke. It highlights the competitive dynamics of the game by zooming in on a single quarter's performance rather than the overall result.
If Duke wins the 2nd quarter of the Boston College vs Duke college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Boston College wins the 2nd quarter of the Boston College vs Duke college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Boston College vs Duke college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own analysis and aim to balance betting action on both sides, while this market aggregates the beliefs of many individuals. If a significant number of people believe one team is more likely to win, the price for that outcome will rise, potentially moving further from the initial sportsbook offering. However, as the event approaches, these odds tend to converge as new information becomes available and both markets incorporate it.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the second quarter between Boston College and Duke will be determined based on the official game results, as reported by a trusted sports data source. The market will then settle to 100 for the winning team's outcome and 0 for the losing team’s outcome, reflecting the definitive result of the game. Traders holding contracts on the winning outcome will receive a payout, while those holding contracts on the losing outcome will forfeit their investment.
Several factors could influence the price movement of this market before resolution. Any news regarding key player injuries or changes in team strategy for either Boston College or Duke would likely have a significant impact. Unexpected weather conditions on game day could also shift expectations. Furthermore, the performance of each team in the first quarter of the game could strongly influence trading activity, as traders react to the unfolding events and adjust their predictions accordingly. Public sentiment and analysis from sports commentators could also contribute to price fluctuations.