TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 5:22 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Lehigh and Cornell. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends purely on which team scores more points before halftime.
If Cornell wins the 1st half of the Lehigh vs Cornell college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Lehigh wins the 1st half of the Lehigh vs Cornell college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Lehigh vs Cornell college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows traders to express their own informed opinions, leading to odds that can diverge from sportsbook lines as new information emerges or public sentiment shifts. Often, prediction markets can be more accurate than traditional polls or expert forecasts, as they incentivize participants to be well-informed and make rational predictions. This dynamic can result in a different probability assessment for the outcome.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Lehigh vs Cornell game will determine the outcome. The official score from the game, as reported by a recognized sports data provider, will be used to verify the result. This ensures a transparent and objective resolution process. Traders will be able to see the final result and any associated payouts on Kalshi following the completion of the first half and official confirmation of the score.
Several signals could significantly move this market before resolution. Any news regarding player injuries or illnesses on either the Lehigh or Cornell teams would likely impact the odds. Changes in coaching strategies or starting lineups could also influence trader sentiment. Unexpected news coverage or public statements from key players or coaches could also shift the market. Furthermore, general news about team performance or momentum leading up to the game, such as recent wins or losses, could affect how traders price the probability of each team winning the first half. Volume of $3,153 could also indicate increased interest.