TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 9:15 PM EST
Kalshi
This event group concerns the outcome of a college basketball game between the Buffalo Bulls and the Marshall Thundering Herd, scheduled for November 2nd. The markets aim to predict which team will win the game, with provisions for handling postponements or cancellations.
This event is for the CBB game between Buffalo Bulls and Marshall Thundering Herd on November 2 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 official winner of the Buffalo vs Marshall men's college basketball game scheduled for November 2, 2026. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves according to the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
This event is for the CBB game between Buffalo Bulls and Marshall Thundering Herd on November 2 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.
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. Differences in pricing between Polymarket and Kalshi for the Buffalo vs. Marshall game can arise due to several factors. These platforms have different user bases, trading volumes, and risk appetites, all of which influence price discovery. Furthermore, each platform may interpret available information—such as team statistics, player injuries, and weather forecasts—differently. The fee structures on Polymarket and Kalshi can also contribute to price discrepancies. These variations are normal and reflect the dynamic nature of prediction markets, offering opportunities for arbitrage and informed trading.
Several signals could influence trading activity and move this market. Key injuries to star players on either team would likely have a significant impact, as would any major changes in coaching strategy or team dynamics. Unexpected weather conditions could also play a role, especially if they favor one team's playing style over the other. Furthermore, any significant news regarding team morale or off-field issues could shift trader sentiment and alter the probabilities reflected in this market.