TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
City College of New York Beavers vs. Fairleigh Dickinson Knights
all
2 markets
Polymarket
Predict
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:16h:47m
$
This group resolves to which college basketball team wins the game between City College of New York Beavers and Fairleigh Dickinson Knights, scheduled for November 7, 2026. If the game is canceled or doesn't start by November 9, 2026, the market resolves with a 50-50 split. The final score, including overtime, determines the winner.
In the upcoming CBB game between City College of New York Beavers and Fairleigh Dickinson Knights, originally scheduled for Saturday, November 7, 2026 at 12:00 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 Monday, November 9, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
In the upcoming CBB game between City College of New York Beavers and Fairleigh Dickinson Knights, originally scheduled for Saturday, November 7, 2026 at 12:00 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 Monday, November 9, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
Prediction market odds, like those found for this market, often reflect a 'wisdom of the crowd' that can differ from traditional sportsbooks. Sportsbooks set lines based on internal models and aim to profit from margins, while prediction markets allow traders to directly express their beliefs, leading to potentially more accurate probabilities. However, sportsbooks have higher liquidity and wider reach, impacting price discovery. Discrepancies can arise due to differing information access, biases, or simply the dynamics of each market. Comparing the odds can reveal insights into public perception versus expert analysis for the CCNY vs. FDU game.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Price discrepancies between Polymarket and Predict are common due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information about the CCNY vs. FDU game. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and divergence. Furthermore, the specific mechanisms for trading and order execution differ between the two venues, influencing price formation. These factors contribute to the observed differences in probabilities for this market, even though both platforms address the same underlying question.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the City College of New York Beavers versus Fairleigh Dickinson Knights game. The platform will verify the final score against publicly available sources to determine the winning outcome. Traders will then be able to claim their winnings based on their predictions in this market.
Several signals could significantly impact this market before it resolves around Nov 7, 2026. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift expectations. Public sentiment, reflected in social media or news coverage, can also influence trading activity. Major upsets in similar college basketball matchups could lead traders to reassess the probabilities for the CCNY vs. FDU game. Ultimately, any information that alters perceptions of each team’s chances of winning has the potential to move this market.