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, 10:13 PM EST
Kalshi
This event group concerns the outcome of a college basketball game between the Lindenwood Lions and the TCU Horned Frogs, scheduled for November 2nd. 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 Lindenwood Lions and TCU Horned Frogs on November 2 at 8:00PM 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.
Resolution depends on the official outcome of the men's college basketball game between Lindenwood and TCU scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of its original start time, markets stay open and resolve based on the final result. Cancellation or failure to start within 48 hours leads to a fair price resolution for both markets.
This event is for the CBB game between Lindenwood Lions and TCU Horned Frogs on November 2 at 8:00PM 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.
Prices for the Lindenwood vs. TCU game can diverge between Polymarket and Kalshi due to several factors. 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. Each platform has a different user base, trading incentives, and liquidity, all of which can influence price discovery. Furthermore, the specific rules and fees associated with each platform can also create price discrepancies. Differences in the volume traded on each platform—currently $21,944 overall—can also contribute to these variations, as lower volume typically leads to wider bid-ask spreads and greater price volatility.