TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

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40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

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BYU vs UCF: 2nd Half Winner
kalshi

What is the result of BYU vs UCF?

Volume:
$54,166

UCF

 - Kalshi

UCF - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 7:53 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

UCF

View
100%
Yes 100¢No 0¢
—
N/A
$30,750
N/A
N/A
$10,844
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$12,396
N/A
N/A
$9,274
Settled
No
kalshi

BYU

0%
Yes 0¢No 100¢
—
N/A
$11,020
N/A
N/A
$4,832
Settled
No
Total markets: 3

Description

BYU plays UCF in a college football game where the second-half winner determines the market outcome. The contest will test each team’s resilience and tactical adjustments after the break.

Kalshi

The market resolves based on which team wins the second half (including overtime) of the designated college football game. Only points scored during the second half count. If the game is postponed but starts within 48 hours of the original time, it remains active; otherwise, it resolves to a fair price. Each outcome—BYU, UCF, or Tie—has a corresponding 'Yes' resolution condition.

Frequently asked questions

On Kalshi, the dashboard for the BYU vs UCF 2nd half market tracks the current price, price history, and 24-hour trading volume. Currently, volume stands at $26,128, with total volume reaching $54,166. The dashboard provides a visual representation of how traders are pricing the probability of each team winning the second half. This allows users to quickly assess market sentiment and identify potential trading opportunities. It’s a dynamic view of where the crowd believes the outcome will land, updated in real-time as new trades are placed.

Typically, prediction market odds reflect the wisdom of the crowd, often aligning with, but sometimes diverging from, traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven purely by traders expressing their beliefs. If there's a significant difference, it could indicate that prediction market participants have access to information or insights not fully incorporated into sportsbook lines. It's common to see prediction markets move faster to incorporate new information than sportsbooks, especially regarding injuries or late-breaking news.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing the probability of each outcome. The price of a contract directly reflects the market's implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and place orders, the price adjusts to reflect the collective assessment of the event's likelihood. The closer we get to the event, the more volatile the price may become as new information emerges and traders refine their predictions. The current price reflects the aggregated beliefs of all participants.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that wins the second half of the BYU vs UCF game will be declared the winner of this market. Resolution will be based on the official game results as reported by a reputable sports data provider. The platform will verify the outcome against these sources to ensure accuracy and transparency. Traders will then be able to claim their winnings or adjust their positions based on the final result.

Several signals could significantly impact this market. Any news regarding key player injuries for either BYU or UCF would likely cause price movement. Changes in weather conditions, particularly if they favor one team's playing style, could also influence trading activity. Unexpected coaching decisions or strategic shifts announced before the game could also shift the market. Finally, public perception and any late-breaking analysis from sports commentators could sway trader sentiment and lead to price fluctuations in the BYU vs UCF 2nd half market.