TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Ohio St. vs Iowa: 1st Quarter Winner
kalshi

Ohio St. vs Iowa: 1st Quarter Winner

Volume:
$38,194

Ohio St.

 - Kalshi

Ohio St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 4:29 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Ohio St.

View
100%
46%
Yes 100¢No 0¢
—
N/A
$17,875
N/A
N/A
$12,356
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$11,652
N/A
N/A
$10,027
Settled
No
kalshi

Iowa

0%
25%
Yes 0¢No 100¢
—
N/A
$8,667
N/A
N/A
$7,886
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score more points in the first quarter of an upcoming college football game between Ohio State and Iowa. It reflects the competitive dynamics of the early game segment, where initial momentum can significantly influence the match's trajectory.

Kalshi

If Iowa wins the 1st quarter of the Ohio St. vs Iowa college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Ohio St. wins the 1st quarter of the Ohio St. vs Iowa college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Ohio St. vs Iowa college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs Iowa game tracks the current odds for each potential first-quarter winner, along with a price history showing how those odds have changed over time. You’ll also find the 24-hour trading volume, which currently stands at $28,382, and the total overall volume traded in this market, which is $38,194. This allows you to see how actively traders are betting on each outcome and how sentiment is shifting leading up to the game. The dashboard provides a real-time view of the market’s expectations.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market’s prices are determined by actual trading activity. If a significant number of traders believe one outcome is more likely, the price will shift accordingly, potentially diverging from the initial sportsbook line. It’s common to see prediction markets react more quickly to new information and potentially offer more accurate probabilities than traditional betting venues, though this isn’t always the case.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about which team will win the first quarter of the Ohio State vs Iowa game. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the probability of that outcome occurring, as determined by the collective actions of all participants. As more people buy contracts for a particular team, the price increases, indicating a higher perceived chance of that team winning. Conversely, selling contracts drives the price down. This dynamic pricing mechanism allows the market to aggregate information and reflect the wisdom of the crowd.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first quarter of the Ohio State vs Iowa game will determine the outcome. The resolution will be based on the official results reported by the governing body of the game, ensuring a fair and transparent process. Traders will be able to claim their winnings or fulfill their obligations based on the final result as reported by these sources.

Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Ohio State or Iowa team would likely cause significant movement. Unexpected changes in weather conditions could also impact the perceived likelihood of each outcome. Additionally, late-breaking news about team strategies or coaching decisions could shift trader sentiment. Public perception, as reflected in polls or expert analysis, can also play a role, though the market ultimately reflects the decisions of traders on Kalshi.