TOTAL VOLUME:
$154.1b
24H VOL:
$185,665,189
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,833,875,329
407,365
Markets across
40,470
events
MATCHED EVENTS:
4,365
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Duquesne
- Kalshi
Duquesne - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 3, 2026
Time left: 01d:10h:03m
$
This event group concerns the outcome of a college basketball game between Purdue Fort Wayne Mastodons and Duquesne Dukes scheduled for November 3rd. Markets will resolve based on which team wins the game, with provisions for postponed or canceled games.
This event is for the CBB game between Purdue Fort Wayne Mastodons and Duquesne Dukes on November 3 at 7:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves based on the result of the Purdue Fort Wayne vs Duquesne men's college basketball game scheduled for November 3, 2026. If Duquesne wins, its corresponding market resolves to Yes, and if Purdue Fort Wayne wins, its market resolves to Yes. Should the game be postponed but commence within 48 hours of the original start time, both markets remain open and resolve according to the final official result. If the game is cancelled or fails to start within the 48-hour window, both markets resolve to a fair price, ensuring equitable treatment for all participants.
This event is for the CBB game between Purdue Fort Wayne Mastodons and Duquesne Dukes on November 3 at 7:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect a different kind of wisdom than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while prediction markets aggregate the beliefs of many individuals, potentially leading to more accurate forecasts. This market, for example, represents the collective prediction of users. While sportsbooks consider factors like team statistics and injuries, prediction markets can incorporate more subjective information and react quickly to news. Discrepancies can arise due to differing methodologies and the incentives of participants in each venue.
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 Purdue vs. Duquesne 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 incentives on each platform can influence trading behavior. For instance, Polymarket currently favors Purdue Fort Wayne Mastodons vs. Duquesne Dukes at 21.0%, while Kalshi leans toward Duquesne wins at 89.0%, demonstrating these differing viewpoints.
This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Purdue vs. Duquesne game, as reported by a recognized sports authority. The platform will verify the outcome against these sources to determine the winning prediction. Traders should monitor official sources for updates as the game progresses, as this will ultimately determine the settlement of this market.
Several signals could significantly impact this market before Nov 4, 2026. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift predictions. Public sentiment, as reflected in media coverage and social media discussions, can also influence trading activity. Major upsets in related games or broader sports news could indirectly affect the perceived probabilities. Monitoring these factors will be key to understanding potential shifts in the market and the evolving expectations surrounding the Purdue vs. Duquesne game.