TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:25 PM EST
Kalshi
This group covers markets related to the college football game between VMI and Wofford, scheduled for October 17th. Markets include predicting the winner, the point spread, and the total points scored in the game. Various platforms offer different point spreads and over/under totals.
In the upcoming college football game between VMI and Wofford, scheduled for October 17 at 1:30PM ET: This market will resolve to "VMI" if VMI win the game. This market will resolve to "Wofford" if Wofford 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.
The market resolves to Yes if the named team wins the specified college football game scheduled for October 17, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks, logos, and brand names are the property of their respective owners.
In the upcoming college football game between VMI and Wofford, scheduled for October 17 at 1:30PM ET: This market will resolve to "VMI" if VMI win the game. This market will resolve to "Wofford" if Wofford 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.
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. Different platforms attract different types of traders, leading to varying levels of information and risk appetite. Polymarket may have a user base more focused on specific types of analysis, while Kalshi might have a broader range of participants. Additionally, the liquidity and trading fees on each platform can influence prices. Market makers on one platform might also employ different strategies than those on the other, creating temporary price discrepancies. These factors contribute to the observed differences in the probabilities assigned to outcomes in this market.