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$154.4b

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OPEN INTEREST:

$1,885,293,300

410,482

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4,340

PLATFORM COVERAGE:

5

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Iowa St. vs BYU: 1st Half Winner
kalshi

What is the result of Iowa St. vs BYU?

Volume:
$131,554

BYU wins 1st Half

 - Kalshi

BYU wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 9, 11:58 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

BYU wins 1st Half

View
100%
30%
Yes 100¢No 0¢
—
N/A
$46,683
N/A
N/A
$30,228
Settled
Yes
kalshi

Iowa St. wins 1st Half

0%
23%
Yes 0¢No 100¢
—
N/A
$56,109
N/A
N/A
$39,025
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$28,762
N/A
N/A
$26,361
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the first half in an upcoming college football game between Iowa State and BYU. It focuses solely on the scoring dynamics of the first 30 minutes of play, ignoring the final game result. The outcome depends on whether BYU, Iowa State, or neither team (in case of a tie) holds the advantage at halftime.

Kalshi

If BYU wins the 1st half of the Iowa St. vs BYU college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes. If Iowa St. wins the 1st half of the Iowa St. vs BYU college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Iowa St. vs BYU college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Iowa State vs BYU game tracks the current price of a share representing a bet on which team will win the first half. You can view the historical price movement, providing insight into how traders are assessing the likelihood of each outcome. The dashboard also displays the 24-hour trading volume, currently at $130,520, and the total volume traded to date, which is $131,554. This allows you to gauge market interest and activity surrounding this particular contest.

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 continuously adjust probabilities based on new information and their own analysis. It’s common to see discrepancies, particularly before significant events or when public sentiment strongly favors one outcome. Examining these differences can offer valuable insights into market perceptions and potential value bets, though it’s important to remember that both represent probabilities of the same underlying event.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing a belief in the probability of a specific outcome. The price of a contract fluctuates based on supply and demand; as more people believe an outcome is likely, 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 aggregate information and reflect the collective intelligence of participants. The current price indicates the market’s implied probability of that outcome occurring in the Iowa State vs BYU game.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Iowa State vs BYU game. Official game results from a trusted sports data provider will be used to determine the winning team for the purposes of this market. No further information about the resolution process is available at this time.

Several factors could influence trading activity and shift the odds in this market. Any news regarding injuries to key players on either the Iowa State or BYU teams would likely have a significant impact. Changes in weather forecasts, particularly if they could affect the style of play, could also move the market. Furthermore, late-breaking news about team strategies or coaching decisions could influence trader sentiment. Public perception, as reflected in polls or expert analysis, can also contribute to price fluctuations leading up to Oct 10, 2026.