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%
Temple
- Kalshi
Temple - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 07h:55m:10s
$
This event group concerns the outcome of a college basketball game between Central Connecticut State Blue Devils and Temple Owls on November 2nd. The markets resolve to the winning team, with a 50-50 split if the game is canceled.
This event is for the CBB game between Central Connecticut State Blue Devils and Temple Owls on November 2 at 12:00AM 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 winner of the Central Connecticut St. vs Temple men’s college basketball game scheduled for November 2, 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 official final result. Should the game be cancelled or fail to start within the 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.
This event is for the CBB game between Central Connecticut State Blue Devils and Temple Owls on November 2 at 12:00AM 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 Predict, often differ from traditional sportsbook odds due to the different incentives and information sources involved. Sportsbooks set lines to balance their risk and ensure profit, while prediction markets aggregate the beliefs of many individuals, creating a wisdom-of-the-crowd effect. This market’s probabilities reflect what participants believe will happen, potentially incorporating information not yet fully priced into sportsbook lines. Furthermore, prediction markets typically have lower transaction costs, allowing for more efficient price discovery and potentially more accurate forecasts.
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, including differing user bases, trading activity, and market-specific rules. Each platform attracts a unique set of participants 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. Additionally, the specific mechanisms for trading and risk management on each platform can contribute to price discrepancies. Currently, Polymarket currently favors Central Connecticut State Blue Devils vs. Temple Owls at 27.5%, while Predict leans toward Central Connecticut State Blue Devils vs. Temple Owls.
This market resolves around Nov 3, 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 Central Connecticut State Blue Devils vs. Temple Owls game. Traders will be able to see the final outcome reflected in the market data after the game concludes and the results are publicly available. The market will settle based on the official outcome announced by the relevant governing body for college sports.
Several signals or events could significantly impact this market before it resolves around Nov 3, 2026. Key player injuries, unexpected coaching changes, or significant shifts in team performance could all influence predictions. News regarding team morale, weather conditions impacting the game, or even public sentiment expressed on social media could also play a role. Any information that alters perceptions of the teams' relative strengths or the likelihood of a specific outcome has the potential to move the market, as traders adjust their positions based on new data.