TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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BYU vs UCF: 1st Quarter Winner
kalshi

What is the result of BYU vs UCF?

Volume:
$27,886

BYU

 - Kalshi

BYU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 4:15 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

BYU

View
100%
Yes 100¢No 0¢
—
N/A
$16,194
N/A
N/A
$10,471
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$7,811
N/A
N/A
$7,520
Settled
No
kalshi

UCF

0%
Yes 0¢No 100¢
—
N/A
$3,881
N/A
N/A
$3,253
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of play in an upcoming college football game between BYU and UCF. It focuses solely on the scoring performance during the initial 15 minutes of the match, ignoring the rest of the game’s outcome.

Kalshi

If UCF wins the 1st quarter of the BYU vs UCF college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If BYU wins the 1st quarter of the BYU vs UCF college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the BYU vs UCF college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the BYU vs UCF 1st quarter market tracks the current price of contracts predicting which team will win the first quarter. You can also view the 24-hour trading volume, which is currently $20,698, and the total volume traded to date, which is $27,886. The dashboard provides a visual representation of how traders are pricing the probability of each outcome, allowing you to see shifts in sentiment over time. This information is updated in real-time as traders buy and sell contracts.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by individuals willing to put their capital at risk. If a significant number of traders believe a sportsbook has mispriced a team’s chances, the price in this market will adjust accordingly. It’s common to see discrepancies, especially before a lot of money has been wagered on either side. These differences can present opportunities for informed traders.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about the probability of each team winning the first quarter. The price of a contract ranges from 0 to 100, representing the implied probability of that outcome. As more traders buy contracts for a particular team, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to reflect the collective intelligence of all participants, providing a real-time assessment of the likely winner.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the first quarter of the BYU vs UCF game will be used to determine the winning contract. The platform will verify the result against official sources and settle the market accordingly. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will forfeit their investment.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the BYU or UCF teams would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team’s playing style, could also impact trading activity. Additionally, late-breaking news about team morale or coaching decisions could shift trader sentiment. Public perception, as reflected in polls or expert analysis, might also contribute to price fluctuations in this market, though the market is ultimately driven by traders' own assessments.