TOTAL VOLUME:
$154.2b
24H VOL:
$192,072,993
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,842,388,377
408,027
Markets across
40,419
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
American Eagles vs. Georgetown Hoyas (W)
- Polymarket
American Eagles vs. Georgetown Hoyas (W) - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 5, 2026
Time left: 03d:05h:25m
$
This event group concerns the outcome of a women's college basketball game between American University and Georgetown University, originally scheduled for November 5, 2026. The markets aim to predict which team will win the game.
In the upcoming CWBB game between American Eagles and Georgetown Hoyas, originally scheduled for Thursday, November 5, 2026 at 7:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Saturday, November 7, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The market resolves based on the winner of the women’s college basketball game between American and Georgetown, scheduled for November 5, 2026. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final official result. Should the game be cancelled or fail to start within this 48-hour window, both markets resolve to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief, leading to more fluid price discovery. This market’s odds can be influenced by factors not fully captured by sportsbook algorithms, such as insider information or subtle shifts in public sentiment, and may therefore provide a unique signal.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi for the Georgetown vs. American Eagles game can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific rules and fee structures of each platform can influence trader behavior and, consequently, the odds. These differences highlight the value of aggregating data across multiple prediction markets to gain a more robust understanding of potential outcomes.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Georgetown vs. American Eagles game will be used to determine the winning outcome. Resolution will be based on the official game results as reported by a recognized sports authority. The platform will verify the outcome against these sources to ensure accuracy and transparency for all participants in this market.
Several factors could significantly impact trading in this market before Nov 6, 2026. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift expectations. Public sentiment, reflected in media coverage and social media discussions, can also influence trading activity. Major upsets in other related games or broader sports news could indirectly affect this market. Monitoring these signals will be key to understanding potential price movements and informed decision-making.