TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 4:10 PM EST
Kalshi
A college football match set for October 10, 2026, features two competing teams. The result depends entirely on which team wins the contest.
If Butler wins the San Diego vs Butler college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If San Diego wins the San Diego vs Butler college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds due to varying information and incentives. Sportsbooks set lines to balance action and ensure profit, while this market allows anyone to express their belief about the outcome. If a significant discrepancy exists between this market and sportsbook lines, it could indicate that the crowd believes the sportsbook is mispricing the probability of a particular result. It’s important to note that both represent probabilities, but are derived through different mechanisms.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the San Diego vs Butler game, as reported by a recognized sports authority. Traders will then be paid out based on whether their chosen outcome matches the final result. It’s important to monitor news sources leading up to this date for any updates that could impact the game and, therefore, this market.
Several signals could significantly move this market before it resolves. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could all influence trader sentiment. Major upsets in other related games or shifts in public perception regarding either team’s chances could also play a role. Furthermore, significant betting activity—a large volume of trades in one direction—could indicate informed traders have new information, causing the market to react accordingly.