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TCU vs UCF: 1st Half Spread
kalshi

What is the result of TCU vs UCF?

Volume:
$54,141

UCF wins 1H by over 3.5 points

 - Kalshi

UCF wins 1H by over 3.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 5:08 PM EST

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

UCF wins 1H by over 3.5 points

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,892
N/A
N/A
$6,802
Settled
Yes
kalshi

UCF wins 1H by over 2.5 points

View
100%
64%
Yes 100¢No 0¢
100¢
N/A
$4,044
N/A
N/A
$4,004
Settled
Yes
kalshi

TCU wins 1H by over 2.5 points

View
0%
69%
Yes 0¢No 100¢
100¢
N/A
$5,326
N/A
N/A
$4,276
Settled
No
kalshi

UCF wins 1H by over 6.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,583
N/A
N/A
$2,290
Settled
No
kalshi

UCF wins 1H by over 4.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,742
N/A
N/A
$3,365
Settled
No
kalshi

TCU wins 1H by over 1.5 points

View
0%
50%
Yes 0¢No 100¢
100¢
N/A
$3,697
N/A
N/A
$2,529
Settled
No
kalshi

TCU wins 1H by over 14.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,600
N/A
N/A
$3,600
Settled
No
kalshi

TCU wins 1H by over 4.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,399
N/A
N/A
$2,588
Settled
No
kalshi

TCU wins 1H by over 17.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,127
N/A
N/A
$3,127
Settled
No
kalshi

UCF wins 1H by over 17.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,003
N/A
N/A
$2,002
Settled
No
kalshi

UCF wins 1H by over 13.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,887
N/A
N/A
$1,887
Settled
No
kalshi

UCF wins 1H by over 7.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,724
N/A
N/A
$956
Settled
No
kalshi

UCF wins 1H by over 14.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,718
N/A
N/A
$1,718
Settled
No
kalshi

TCU wins 1H by over 13.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,684
N/A
N/A
$1,652
Settled
No
kalshi

TCU wins 1H by over 3.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,616
N/A
N/A
$1,611
Settled
No
kalshi

UCF wins 1H by over 10.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,420
N/A
N/A
$1,058
Settled
No
kalshi

TCU wins 1H by over 9.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,101
N/A
N/A
$1,101
Settled
No
kalshi

TCU wins 1H by over 7.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$818
N/A
N/A
$818
Settled
No
kalshi

TCU wins 1H by over 10.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$768
N/A
N/A
$768
Settled
No
kalshi

UCF wins 1H by over 9.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$686
N/A
N/A
$618
Settled
No
kalshi

TCU wins 1H by over 6.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$308
N/A
N/A
$308
Settled
No
Total markets: 21

Description

This set of markets focuses on predicting the margin of victory for either TCU or UCF in the first half of their upcoming college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the first half to resolve as 'Yes'.

Kalshi

All markets resolve based solely on points scored during the first half of play in the TCU vs UCF college football game scheduled for September 26, 2026. For any market where the specified team wins by more than the stated point differential in the first half, the market resolves to 'Yes'; otherwise, it resolves to 'No'. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point thresholds defined in individual markets.

Frequently asked questions

On Kalshi, the dashboard for the TCU vs UCF spread tracks the current price of contracts representing different point spreads for the first half of the game. You can view the historical price movement of the spread, along with the 24-hour volume of $39,052 and the total volume traded of $54,141. This allows you to gauge market sentiment and see how the perceived likelihood of different outcomes is changing over time. The dashboard provides a real-time view of where traders stand on the first-half spread.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for a profit margin, while this market is driven purely by traders expressing their beliefs 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 also common to see prediction markets move faster to incorporate new information than sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half of the game. The price of each contract reflects the market's assessment of the probability of that spread occurring. As more traders buy contracts for a particular spread, the 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 allows the market to quickly adjust to new information and reflect the collective intelligence of the participants. The current price indicates the implied probability of the spread being correct at the end of the first half.

This market resolves around Sep 26, 2026, with the outcome confirmed once the official first-half spread of the TCU vs UCF game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. The final spread will be compared to the contracts traded on Kalshi to determine payouts to contract holders. The market will settle to 100, representing the accurate spread at the end of the first half.

Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the TCU or UCF teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact the spread. Furthermore, late-breaking news about team strategies or coaching decisions might shift trader sentiment. Even public perception, as reflected in polls or expert analyses, could contribute to price fluctuations in this market.