TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 8:45 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Colgate and Harvard. It reflects the competitive balance and performance of both teams during the initial portion of the match.
If Harvard wins the 1st half of the Colgate vs Harvard college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Colgate wins the 1st half of the Colgate vs Harvard college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Colgate vs Harvard college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks typically set initial lines to balance action on both sides, incorporating a profit margin, while this market allows traders to freely adjust probabilities based on their own analysis and information. This can lead to discrepancies, particularly as new information emerges. It's common to see prediction markets move more quickly to incorporate news or injury reports than traditional sportsbooks, and sometimes provide a more accurate forecast of the final outcome. Examining both can offer a more comprehensive view.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the Colgate vs Harvard game will determine the winning contract. Resolution will be based on the official game results as reported by a trusted sports data source. It’s important to note that the market will close prior to the end of the first half to allow for accurate settlement, and any trades executed before closure will be honored based on the final result.
Several signals could significantly move this market before it resolves. Any news regarding key player injuries or suspensions for either Colgate or Harvard would likely have a substantial impact. Changes in team performance leading up to the game, such as unexpected wins or losses, could also shift the odds. Furthermore, weather conditions on game day, particularly if they favor one team's playing style, could influence trading activity. Finally, any significant public endorsements or analysis predicting a specific outcome could also cause the market to react and adjust its probabilities.