TOTAL VOLUME:
$154.8b
24H VOL:
$245,601,049
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,405,322
408,349
Markets across
39,583
events
MATCHED EVENTS:
4,443
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
King's College (PA) Monarchs vs. Lafayette Leopards
all
2 markets
Polymarket
Predict
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 5, 2026
Time left: 01d:20h:59m
$
This group forecasts the winner of a college basketball game between King's College (PA) Monarchs and Lafayette Leopards. The markets resolve to the winning team, with a 50-50 split if the game is canceled or doesn't start by a specified deadline.
In the upcoming CBB game between King's College (PA) Monarchs and Lafayette Leopards, originally scheduled for Thursday, November 5, 2026 at 12:00 AM 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.
In the upcoming CBB game between King's College (PA) Monarchs and Lafayette Leopards, originally scheduled for Thursday, November 5, 2026 at 12:00 AM 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.
Prediction market odds, such as those found on Polymarket and Predict, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set lines to balance action and ensure profit, while prediction markets reflect the aggregate beliefs of informed traders. This market’s odds represent a crowd-sourced forecast, potentially incorporating unique insights not fully captured by sportsbooks. Furthermore, prediction markets typically have lower transaction costs, encouraging more active trading and potentially more accurate price discovery. It’s common to see discrepancies, especially as new information emerges before the event.
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. Prices on Polymarket and Predict can diverge for several reasons. Each platform attracts a different user base with varying levels of expertise and access to information regarding the King's College vs. Lafayette game. Trading volume also plays a role; a market with higher volume on one platform may exhibit greater price stability and responsiveness to news. Additionally, the specific mechanisms for setting and adjusting odds differ between Polymarket and Predict, contributing to potential price discrepancies. These factors create distinct market dynamics, even for the same underlying event.
This market resolves around Nov 5, 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 King's College vs. Lafayette game, as reported by a recognized sports authority. The resolution will reflect which team ultimately wins the game, and the outcome will be validated against publicly available data. Traders should monitor official sources for the final game results to understand how this market will settle.
Several signals could significantly shift the odds in this market before it resolves on Nov 5, 2026. Key player injuries or suspensions for either King's College or Lafayette would undoubtedly impact expectations. Unexpected news regarding team coaching strategies or internal dynamics could also influence trader sentiment. Furthermore, any significant changes in public perception, perhaps driven by media coverage or expert analysis, could lead to shifts in the market. Finally, even weather conditions on game day could play a role, especially if they favor one team’s playing style over the other.