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, 9:57 PM EST
Kalshi
This event group concerns the outcome of a college basketball game between Kent State and Louisiana Tech, scheduled for November 2nd. Markets predict which team will win the game, with provisions for postponed or canceled games.
This event is for the CBB game between Kent State Golden Flashes and Louisiana Tech Bulldogs on November 2 at 7:30PM 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 according to the winner of the Kent St. vs Louisiana Tech men's college basketball game set for November 2, 2026. If the game is postponed but begins within 48 hours of the scheduled start, the market remains active and resolves based on the official final outcome. If the game is cancelled or does not start within 48 hours, both markets resolve to a fair price. Kalshi clarifies it is not associated with the NCAA, and all trademarks belong to their respective owners.
This event is for the CBB game between Kent State Golden Flashes and Louisiana Tech Bulldogs on November 2 at 7:30PM 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. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform has a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume typically leads to more accurate pricing. Additionally, the specific market design and available trading mechanisms on each platform can influence price formation. For instance, different fee structures or order types might attract different types of traders and impact the odds offered for the Kent State vs. Louisiana Tech game.