TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 1:05 PM EST
Kalshi
This prediction group concerns the outcome of the Coastal Carolina Chanticleers versus Western Michigan Broncos women's college basketball game scheduled for November 2, 2026. The markets ask whether either team will win the game.
This event is for the WBB game between Coastal Carolina Chanticleers and Western Michigan Broncos on November 2 at 11:00AM 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 to Yes for the specified team if they win the women’s college basketball game originally scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, both markets resolve to a fair price. Kalshi is not affiliated with, associated with, authorized by, endorsed by, or connected to the NCAA; all trademarks belong to their respective owners.
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 Coastal Carolina vs. Western Michigan game can arise from several factors. Each platform has its own user base, with varying risk appetites and information sets, which influences trading behavior. Trading volume also plays a role; lower volume on one platform can lead to wider bid-ask spreads and price discrepancies. Furthermore, the specific market design—such as fees or liquidity provisions—can differ between Polymarket and Kalshi, impacting price formation. These factors contribute to the observed differences in probabilities for this market.