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419,492

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UCF vs Houston: Total Points
kalshi

What is the result of UCF vs Houston?

Volume:
$641,775

Over 42.5 points scored

 - Kalshi

Over 42.5 points scored - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:35 PM EST

kalshi

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

Over 42.5 points scored

View
100%
Yes 100¢No 0¢
—
N/A
$80,099
N/A
N/A
$45,020
Settled
Yes
kalshi

Over 36.5 points scored

View
100%
Yes 100¢No 0¢
—
N/A
$38,968
N/A
N/A
$29,750
Settled
Yes
kalshi

Over 39.5 points scored

View
100%
Yes 100¢No 0¢
—
N/A
$33,761
N/A
N/A
$18,078
Settled
Yes
kalshi

Over 30.5 points scored

View
100%
Yes 100¢No 0¢
—
N/A
$29,729
N/A
N/A
$21,902
Settled
Yes
kalshi

Over 33.5 points scored

View
100%
10%
Yes 100¢No 0¢
—
N/A
$16,421
N/A
N/A
$11,501
Settled
Yes
kalshi

Over 27.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$4,967
N/A
N/A
$3,930
Settled
Yes
kalshi

Over 24.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$1,798
N/A
N/A
$1,788
Settled
Yes
kalshi

Over 21.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$804
N/A
N/A
$804
Settled
Yes
kalshi

Over 50.5 points scored

View
0%
53%
Yes 0¢No 100¢
—
N/A
$137,470
N/A
N/A
$116,213
Settled
No
kalshi

Over 45.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$122,211
N/A
N/A
$66,098
Settled
No
kalshi

Over 51.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$83,154
N/A
N/A
$65,575
Settled
No
kalshi

Over 48.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$18,191
N/A
N/A
$14,324
Settled
No
kalshi

Over 54.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$13,940
N/A
N/A
$8,617
Settled
No
kalshi

Over 49.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$13,053
N/A
N/A
$9,977
Settled
No
kalshi

Over 52.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$12,706
N/A
N/A
$10,396
Settled
No
kalshi

Over 53.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$11,413
N/A
N/A
$6,867
Settled
No
kalshi

Over 57.5 points scored

View
0%
36%
Yes 0¢No 100¢
—
N/A
$9,651
N/A
N/A
$7,721
Settled
No
kalshi

Over 60.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$6,183
N/A
N/A
$4,003
Settled
No
kalshi

Over 63.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$2,316
N/A
N/A
$2,311
Settled
No
kalshi

Over 66.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$1,860
N/A
N/A
$1,818
Settled
No
kalshi

Over 72.5 points scored

View
0%
10%
Yes 0¢No 100¢
—
N/A
$1,632
N/A
N/A
$1,624
Settled
No
kalshi

Over 69.5 points scored

View
0%
Yes 0¢No 100¢
—
N/A
$1,446
N/A
N/A
$1,377
Settled
No
Total markets: 22

Description

This event tracks various thresholds of total points scored by both teams in an upcoming college football game. Each threshold represents a different level of scoring intensity, allowing participants to speculate on how high-scoring the game might be.

Kalshi

All markets resolve based on whether the combined score of UCF and Houston in their game scheduled for October 3, 2026, exceeds a specified point threshold. If the game is postponed but starts within 48 hours of the original time, the result still applies. If the game does not start within that window, all markets resolve to a fair price. Each market corresponds to a different point total threshold, ranging from over 30.5 points to over 72.5 points. The markets are independent, with each having its own resolution criteria tied to its specific threshold. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the UCF vs Houston points total tracks the current price of contracts representing different point totals for the game. You’ll find a price history chart showing how the market has moved over time, as well as the 24-hour trading volume, currently at $599,901. The total volume traded on this market is $641,775. This allows traders to see how much activity is happening and understand market sentiment regarding the expected final score.

Generally, prediction markets like this one often reflect information not immediately captured by traditional sportsbooks. While sportsbooks set initial lines based on team statistics and expert opinions, this market incorporates a wider range of perspectives and real-time information from traders. This can lead to differences in probabilities, as the collective wisdom of the crowd often proves surprisingly accurate. It’s common to see this market move in response to news or events that haven’t fully impacted sportsbook odds yet.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point totals for the UCF vs Houston game. The price of each contract reflects the market’s probability assessment of that specific point total occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their contracts’ outcomes align with the actual result. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.

This market resolves around Oct 3, 2026, with the outcome confirmed once the final point total of the UCF vs Houston game is verifiable from credible public reporting. The resolution will be based on the official game statistics, as reported by a recognized sports data source. Traders holding contracts corresponding to the correct point total will receive a payout, while those holding contracts for incorrect totals will not. The exact timing of resolution may depend on the official release of game results.

Several factors could influence the price of this market. Any news regarding key player injuries for either UCF or Houston would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring a high- or low-scoring game, could also impact trading activity. Late-breaking news about coaching strategies or team morale could also play a role. Finally, large volume trades from informed participants could shift the market’s direction as traders react to new information or adjust their positions.