TOTAL VOLUME:
$154.1b
24H VOL:
$172,394,893
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,821,572,886
404,136
Markets across
40,075
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 30, 11:04 PM EST
Kalshi
This market tracks whether Baylor will win its college football game against UCF. Currently, the probability of Baylor winning on Kalshi is 88.0%, while UCF winning is at 13.0%. The market will resolve based on the outcome of the Baylor vs UCF college football game originally scheduled for Oct 30, 2026, as reported by Kalshi. Keep a close watch on the game itself, as the market resolves to Yes if UCF wins the contest scheduled for October 30, 2026.
The market resolves to Yes if either Baylor or UCF wins the game originally scheduled for October 30, 2026. If the game is postponed but begins within 48 hours of the scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or fails to start within 48 hours, the market resolves to a fair price. Kalshi is not connected to the NCAA, and all trademarks are property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profit, while this market allows traders to freely express their beliefs about the outcome of the Baylor vs UCF game. If there’s a significant difference, it could indicate that prediction market participants have access to, or place greater weight on, information not fully incorporated into sportsbook lines. It's a valuable comparison point for anyone analyzing the event.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Baylor vs UCF game, as reported by a trusted sports news source, will determine the winning contract. Traders who correctly predicted the outcome will receive a payout based on the final price of their contract at resolution. The platform will verify the result against publicly available data to ensure accuracy and transparency. It's important to monitor the event's progress leading up to this date.
Several factors could influence the price of this market before Oct 31, 2026. Key player injuries, changes in coaching strategies, or unexpected weather conditions could all shift expectations and impact trading activity. Significant news coverage or analysis predicting a shift in momentum could also drive price movements. Furthermore, large trades by informed participants could create short-term volatility. Monitoring team news, expert opinions, and trading volume on Kalshi will provide valuable insights into potential catalysts that could move this market.