TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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BYU vs UCF: 1st Half Winner
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What is the result of BYU vs UCF?

Volume:
$144,349

UCF

 - Kalshi

UCF - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 5:26 PM EST

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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

View
100%
68%
Yes 100¢No 0¢
—
N/A
$76,914
N/A
N/A
$45,011
Settled
Yes
kalshi

BYU

0%
Yes 0¢No 100¢
—
N/A
$59,276
N/A
N/A
$37,820
Settled
No
kalshi

Tie

0%
10%
Yes 0¢No 100¢
—
N/A
$8,160
N/A
N/A
$6,555
Settled
No
Total markets: 3

Description

Two college football teams will face off in a competitive match where only the first half's performance matters. The outcome depends entirely on which team leads at halftime, with a tie also being a possible result.

Kalshi

The market resolves based on which team leads at the end of the first half of the designated college football game. If UCF, BYU, or neither team (tie) leads at halftime, the respective market resolves to Yes. Should the game be postponed but commence within 48 hours of the original start time, the market remains open and resolves according to the official result. If the game does not start within 48 hours, the market resolves to a fair price. Only points scored during the first half count toward the resolution.

Frequently asked questions

On Kalshi, the dashboard for the BYU vs UCF 1st half market displays the current price of each outcome – which team will win the first half, or if the result will be a tie. It also shows the 24-hour trading volume, which is currently $134,586, and the total overall volume traded in this market, totaling $144,349. You can view the price history to see how the market has moved over time, giving you a sense of trader sentiment. The dashboard provides a real-time view of where traders are placing their bets on the first half winner.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and to balance betting action, while this market is driven by individuals trading based on their own information and beliefs. If the public heavily favors one team, the price of that outcome in this market may move differently than at a sportsbook, potentially offering value to informed traders. It's common to see discrepancies, especially as new information emerges closer to the event.

On Kalshi, this market is priced through a continuous auction mechanism. Traders buy and sell contracts representing each possible outcome – a BYU win, a UCF win, or a tie. As more people buy a contract, its price increases, reflecting a higher probability of that outcome. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract effectively represents the market's forecast for the likelihood of that outcome occurring. This dynamic pricing allows the market to quickly incorporate new information and adjust probabilities in real time.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by which team is leading at the end of the first half of the BYU vs UCF football game. A tie is also a possible outcome. The official game results will be used to verify the winner, ensuring a transparent and accurate resolution process. Traders will be able to claim their winnings based on the final, verified result.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the BYU or UCF teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the odds. Unexpected announcements about coaching strategies or team morale might also move the market. Finally, large volume trades from informed traders can quickly alter the price, reflecting new insights or shifts in sentiment regarding the first half winner.