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Iowa St. vs BYU: 1st Half Spread
kalshi

What is the result of Iowa St. vs BYU?

Volume:
$809,416

BYU wins by over 6.5 points

 - Kalshi

BYU wins by over 6.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 9, 11:58 PM EST

kalshi

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 wins by over 6.5 points

View
100%
49%
Yes 100¢No 0¢
—
N/A
$240,467
N/A
N/A
$156,362
Settled
Yes
kalshi

BYU wins by over 7.5 points

100%
57%
Yes 100¢No 0¢
—
N/A
$127,777
N/A
N/A
$62,033
Settled
Yes
kalshi

BYU wins by over 10.5 points

100%
67%
Yes 100¢No 0¢
—
N/A
$80,284
N/A
N/A
$43,346
Settled
Yes
kalshi

BYU wins by over 9.5 points

100%
60%
Yes 100¢No 0¢
—
N/A
$56,166
N/A
N/A
$24,771
Settled
Yes
kalshi

BYU wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$51,715
N/A
N/A
$27,684
Settled
Yes
kalshi

BYU wins by over 4.5 points

100%
44%
Yes 100¢No 0¢
—
N/A
$46,904
N/A
N/A
$29,753
Settled
Yes
kalshi

BYU wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$18,962
N/A
N/A
$11,107
Settled
Yes
kalshi

BYU wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$105,190
N/A
N/A
$46,499
Settled
No
kalshi

BYU wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$18,335
N/A
N/A
$10,790
Settled
No
kalshi

Iowa St. wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$15,932
N/A
N/A
$12,391
Settled
No
kalshi

BYU wins by over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$12,062
N/A
N/A
$8,567
Settled
No
kalshi

BYU wins by over 17.5 points

0%
Yes 0¢No 100¢
—
N/A
$10,444
N/A
N/A
$7,732
Settled
No
kalshi

Iowa St. wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$6,861
N/A
N/A
$6,382
Settled
No
kalshi

Iowa St. wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$5,807
N/A
N/A
$5,756
Settled
No
kalshi

BYU wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,937
N/A
N/A
$3,733
Settled
No
kalshi

Iowa St. wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,471
N/A
N/A
$3,423
Settled
No
kalshi

Iowa St. wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,512
N/A
N/A
$1,511
Settled
No
kalshi

Iowa St. wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,382
N/A
N/A
$1,218
Settled
No
kalshi

Iowa St. wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$851
N/A
N/A
$819
Settled
No
kalshi

Iowa St. wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$756
N/A
N/A
$756
Settled
No
kalshi

Iowa St. wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$600
N/A
N/A
$427
Settled
No
Total markets: 21

Intro

This market asks whether BYU will win the first half of their college football game against Iowa State by more than 3.5 points. Currently, the probability of BYU winning the first half by over 3.5 points is at 99.0% on Kalshi. The resolution source for this market is based on the outcome of the first half of the Iowa St. vs BYU college football game originally scheduled for Oct 9, 2026. Keep an eye on the game itself, as the market will resolve based on the first-half result following the conclusion of the game on or around the resolution date of 2026-10-10.

Kalshi

All markets resolve based solely on points scored during the first half of the Iowa St. vs BYU college football game scheduled for Oct 9, 2026. A market resolves to 'Yes' if the designated team wins by more than the specified point margin in that half. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants.

Frequently asked questions

On Kalshi, the dashboard for the Iowa State vs BYU spread tracks the current price of contracts representing different point spreads for the first half of the game. You can view the historical price movement of this market, allowing you to analyze how expectations have changed over time. The dashboard also displays the 24-hour trading volume, currently at $772,559, and the total volume traded to date, which is $809,416. This provides insight into how actively traders are engaging with this particular market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. If a significant number of traders believe a particular spread is likely, the price will move accordingly, potentially diverging from sportsbook lines. It’s common to see prediction markets more accurately forecast outcomes, especially when there's a lot of information available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their predictions are correct and lose money if they are wrong. This dynamic creates a market-driven assessment of the likely outcome, distinct from static odds set by a sportsbook.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official first-half spread result from the Iowa State vs BYU game will be used to determine which contracts pay out. The resolution will be based on the official statistics reported by the governing body of college football, ensuring a transparent and verifiable outcome. Traders will be able to see which contracts were settled as winners and losers following the completion of the first half.

Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Iowa State or BYU teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's style of play, could also impact trading activity. Furthermore, any late-breaking news about team strategy or coaching decisions could influence traders’ perceptions and shift the price. Public sentiment and analysis from sports commentators could also contribute to price fluctuations in this market.