TOTAL VOLUME:
$154.8b
24H VOL:
$245,601,049
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,405,322
408,349
Markets across
39,583
events
MATCHED EVENTS:
4,443
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:50 PM EST
Kalshi
This market tracks the outcome of the New Hampshire versus North Carolina A&T college football game, specifically whether New Hampshire will cover a -7.5 point spread. Currently, the consensus probability of New Hampshire covering the spread is 100.0%, as aggregated from Polymarket and Kalshi. The resolution source for this market is the result of the New Hampshire vs North Carolina A&T college football game originally scheduled for October 10, 2026, with resolution occurring if North Carolina A&T wins. Keep an eye on the game itself on October 10, 2026, to see if New Hampshire can secure a victory by more than 7.5 points.
In the upcoming college football game between New Hampshire and North Carolina A&T, scheduled for October 10 at 12:00PM ET: This market will resolve to "New Hampshire" if New Hampshire win the game. This market will resolve to "North Carolina A&T" if North Carolina A&T 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 specified team wins the college football game originally scheduled for October 10, 2026. If the game is postponed but commences within 48 hours of the original start time, the market remains open and resolves based on the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, the market resolves to a fair price.
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. The prices for this market on Polymarket and Kalshi can differ due to several factors. Each platform has its own user base, trading volume, and liquidity, influencing price discovery. Additionally, the specific market structures and fee schedules on Polymarket versus Kalshi can create variations. Differences in the types of traders participating – whether more casual bettors or sophisticated quantitative traders – also contribute to price discrepancies. These factors combine to create distinct market dynamics, even when tracking the same underlying event.