TOTAL VOLUME:

$146.7b

24H VOL:

$159,681,979

24H TRANSACTIONS:

2,782,432,967

OPEN INTEREST:

$1,765,039,592

503,073

Markets across

37,360

events

MATCHED EVENTS:

2,848

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

BETA
Dashboards
Tour
All
Sports
UCF vs Houston
kalshi

What is the result of UCF vs Houston?

Volume:
$4,639,560

Houston

 - Kalshi

Houston - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:35 PM EST

kalshi

Kalshi

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

Houston

View
100%
20%
Yes 100¢No 0¢
—
N/A
$2,643,105
N/A
N/A
$1,498,167
Settled
Yes
kalshi

UCF

0%
21%
Yes 0¢No 100¢
—
N/A
$1,996,454
N/A
N/A
$887,973
Settled
No
Total markets: 2

Intro

This market tracks which team—UCF or Houston—will win the college football game between UCF and Houston. Currently, the probability of Houston winning on Kalshi is 78.0%, while UCF winning is at 22.0%. The market will resolve based on the official result of the game, as determined by the outcome of the UCF vs Houston college football game originally scheduled for Oct 3, 2026. Traders should watch for any announcements regarding the game’s status, as the resolution is tied to the originally scheduled date of October 3, 2026, representing the end of the betting period for this market.

Kalshi

The event resolves based on the official winner of the UCF vs Houston college football game scheduled for October 3, 2026. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final, official result. Should the game be cancelled or fail to start within this 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants. Kalshi explicitly disclaims any affiliation with the NCAA, and all associated trademarks remain the property of their respective owners.

Frequently asked questions

Generally, prediction market odds tend to reflect the 'wisdom of the crowd,' often incorporating information and analysis beyond what traditional sportsbooks consider. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to odds that more accurately predict the final result. It's common to see discrepancies between the two, especially as new information emerges or public sentiment shifts. However, both aim to represent the probability of an outcome, and comparing them can offer valuable insights for informed decision-making.

On Kalshi, this market is priced through a continuous order book, meaning traders buy and sell contracts representing different outcomes of the UCF vs Houston game. The price of each contract reflects the market's collective assessment of its probability. As more traders buy into a particular outcome, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism ensures that the odds continuously adjust to incorporate new information and changing perspectives. Currently, Houston wins is the most likely outcome according to traders on Kalshi.

This market resolves around Oct 3, 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 UCF vs Houston game, as reported by a trusted sports news source. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. It’s important to monitor the event closely as the resolution date approaches, as any unexpected developments could influence the final result and the market's outcome.

Several factors could significantly impact this market before it resolves. Any major news regarding player injuries, coaching changes, or team performance could shift trader sentiment and alter the odds. Unexpected weather conditions at the game location could also play a role, potentially favoring one team over the other. Furthermore, significant betting activity or large volume trades on Kalshi could indicate a shift in market expectations. Monitoring these signals will be crucial for understanding how the market evolves leading up to the game's conclusion.