TOTAL VOLUME:
$154.8b
24H VOL:
$260,393,102
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,894,304,386
408,643
Markets across
39,771
events
MATCHED EVENTS:
4,493
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 8:58 PM EST
Kalshi
This event group concerns the outcome of a college basketball game between UNC Asheville and Richmond, 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 UNC Asheville Bulldogs and Richmond Spiders 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 to Yes for the specified team if they win the game. If the game is postponed but begins within 48 hours of the original 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 time, both markets resolve to a fair price.
This event is for the CBB game between UNC Asheville Bulldogs and Richmond Spiders 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. Price discrepancies between Polymarket and Kalshi for the UNC Asheville vs. Richmond game can arise from several factors. Each platform attracts a different user base with varying risk appetites and information advantages, leading to differing interpretations of the same event. Trading volume also plays a role; lower volume on one platform can result in greater price volatility and divergence. Furthermore, the specific market mechanics and fee structures on Polymarket and Kalshi can influence how traders behave and, consequently, the prices observed. These factors contribute to the dynamic pricing seen across prediction markets.
Several signals could significantly shift the probabilities within this market. Any news regarding injuries to key players on either the UNC Asheville or Richmond teams would likely cause movement. Significant changes in team performance leading up to the game, such as unexpected wins or losses, could also impact trader sentiment. Additionally, late-breaking news about coaching strategies or weather conditions affecting the game could influence trading activity and alter the odds. Public perception and media coverage surrounding the game can also play a role.