TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 6:56 PM EST
Polymarket
This group covers various markets related to the college football game between VMI and Samford on September 26th. Markets include the winner of the game, the point spread, and the over/under total points scored. These markets allow users to predict the outcome and specific aspects of the game.
In the upcoming college football game between VMI and Samford, scheduled for September 26 at 3:30PM ET: This market will resolve to "VMI" if VMI win the game. This market will resolve to "Samford" if Samford win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
In the upcoming college football game between VMI and Samford, scheduled for September 26 at 3:30PM ET: This market will resolve to "VMI" if VMI win the game. This market will resolve to "Samford" if Samford win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
Differences in pricing between Polymarket and Predict for the VMI vs. Samford game can arise due to several factors. Polymarket and Predict 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 attracts a different user base with varying levels of expertise and information, leading to distinct interpretations of the game's likely outcome. Trading fees, platform-specific rules, and even the time of day can influence price discovery. Furthermore, the liquidity available on each platform plays a role; lower volume on one venue may result in greater price volatility and divergence from the other. These factors contribute to the dynamic pricing observed in prediction markets.