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:

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Baylor vs UCF
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What is the result of Baylor vs UCF?

Volume:
$11,808,367

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 30, 11:04 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Baylor

View
100%
47%
Yes 100¢No 0¢
—
N/A
$6,261,502
N/A
N/A
$4,323,136
Settled
Yes
kalshi

UCF

0%
48%
Yes 0¢No 100¢
—
N/A
$5,546,865
N/A
N/A
$3,296,556
Settled
No
Total markets: 2

Intro

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.

Kalshi

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.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs UCF game tracks the current odds, price history, and 24-hour trading volume. Currently, volume is $10,782,850, and total volume for this market is $11,804,615. You can see how the implied probability of different outcomes changes over time with the price chart. The dashboard provides a real-time view of where traders are placing their bets, offering insight into expectations for the game's result. This information is updated continuously as new trades are made on Kalshi.

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.