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%
Fordham
- Kalshi
Fordham - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 14, 2026
Time left: 12d:05h:12m
$
The outcome rests with whether Georgetown or Fordham wins their college football encounter set for November 14, 2026. Standard match regulations regarding duration, scoring, and officiating will govern the result.
If Fordham wins the Georgetown vs Fordham college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Georgetown wins the Georgetown vs Fordham college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines to balance action on both sides, incorporating a profit margin, while this market is driven purely by participants’ beliefs about the probability of each outcome. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts, though they often converge closer to event time. Examining these differences can provide valuable insight into where the crowd believes the value lies.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Georgetown vs Fordham game will be used to determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding the winning contract will receive a payout based on the final market price at resolution, while those holding losing contracts will forfeit their investment.
Several factors could influence the price movement in this market. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift expectations. Weather conditions on game day could also play a role, potentially impacting the style of play and the likelihood of certain outcomes. Furthermore, significant betting activity or large trades on Kalshi itself can cause noticeable price fluctuations as traders react to new information or attempt to capitalize on perceived mispricings.