TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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BYU vs UCF: 3rd Quarter Winner
kalshi

What is the result of BYU vs UCF?

Volume:
$9,024

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 6:16 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$1,373
N/A
N/A
$1,183
Settled
Yes
kalshi

UCF

0%
Yes 0¢No 100¢
—
N/A
$5,919
N/A
N/A
$5,886
Settled
No
kalshi

BYU

0%
Yes 0¢No 100¢
—
N/A
$1,732
N/A
N/A
$1,410
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of an upcoming college football game between BYU and UCF. The outcome depends solely on the performance during the third quarter, regardless of the overall game result.

Kalshi

If UCF wins the 3rd 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 3rd 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 3rd 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 3rd quarter market tracks the current price of contracts representing each possible outcome – which team will win the 3rd quarter. You can view the price history to see how expectations have shifted over time, as well as the 24-hour volume, which currently stands at $4,289. The total volume traded on this market is $9,024. This provides insight into how much activity and interest there is in predicting the 3rd quarter winner of this college football game.

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 allows traders to express their own independent assessments of the likelihood of each outcome. If a significant number of traders believe a sportsbook has mispriced a team’s chances, the price on Kalshi will move accordingly. It's common to see discrepancies, especially as new information emerges or public sentiment shifts regarding the BYU vs UCF matchup.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract indicates the probability of that outcome occurring, as perceived by the market participants. As more traders participate, the price converges towards what the collective believes is the true probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price fluctuations are driven by supply and demand; if more people buy contracts for a particular team, the price increases, and vice versa. This dynamic pricing mechanism reflects real-time sentiment about the game.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading at the end of the 3rd quarter of the BYU vs UCF game. The official game results will be used to determine the winning team for the purposes of this market. Traders will be able to see the final result reflected in their account balances shortly after the game concludes and the results are officially verified.

Several factors could influence the price of this market before it resolves. 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 suggest adverse conditions, could also impact expectations. Additionally, late-breaking news about team strategies or coaching decisions could shift the market. Finally, even public perception and betting trends observed elsewhere could influence trading activity on Kalshi and move the price of contracts.