TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 11, 8:40 PM EST
Kalshi
The first half of a college football game between Villanova and Louisville will determine the winner based on points scored in the initial 30 minutes of play. The outcome depends solely on which team leads at the end of the first half, with ties also having a specific resolution.
The market resolves based on the outcome of the first half of the Villanova vs Louisville college football game scheduled for September 11, 2026. If Louisville scores more points than Villanova in the first half, the market resolves to Yes for the 'Louisville wins 1st Half' outcome. If Villanova scores more points than Louisville in the first half, the market resolves to Yes for the 'Villanova wins 1st Half' outcome. If both teams score an equal number of points in the first half, resulting in a tie, the market resolves to Yes for the 'Tie 1st Half' outcome. For all outcomes, only points scored during the first half count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is determined by the official game statistics, specifically the score at the end of the first half. Once the game concludes and the data is publicly available, the market will settle based on which team held the lead at that point.
Injuries to key players, changes in coaching strategy, or recent performance trends could shift trader sentiment and move this market. As the game approaches, any news impacting player availability or team form may cause fluctuations in odds. Additionally, broader betting trends and analyst predictions leading up to the event can also influence market movements, reflecting evolving expectations among participants.