TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Ohio St. vs Iowa: First Team to Score a TD
kalshi

What is the result of Ohio St. vs Iowa?

Volume:
$16,252

Ohio St.

 - Kalshi

Ohio St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:50 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%
35%
Yes 100¢No 0¢
—
N/A
$10,840
N/A
N/A
$9,936
Settled
Yes
kalshi

Iowa

0%
Yes 0¢No 100¢
—
N/A
$3,532
N/A
N/A
$3,319
Settled
No
kalshi

No team

0%
Yes 0¢No 100¢
—
N/A
$1,879
N/A
N/A
$1,175
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score the first touchdown in an upcoming college football game. It includes scenarios where either team scores first or if no team manages to score a touchdown at all during the game, including any overtime periods. The outcome depends purely on the game's live progression and scoring events.

Kalshi

The market determines which team scores the first touchdown in the Ohio St. vs Iowa college football game scheduled for Oct 3, 2026, with three possible outcomes: Iowa scores first, Ohio St. scores first, or neither team scores a touchdown. All touchdowns—including those from offensive, defensive, or special teams plays—are counted, even if they occur in overtime. If the game is postponed but starts within 48 hours of the original time, the market remains active and resolves based on the final result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi clarifies that it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs Iowa game tracks the current odds for which team will score the first touchdown. You’ll find a price history showing how those odds have changed over time, as well as the 24-hour trading volume, which currently stands at $7,298. The total volume traded on this market is $16,252. This allows you to see how much activity there is and how confidence is shifting among traders predicting the outcome of this college football matchup.

Prediction market odds often reflect the wisdom of the crowd, and can sometimes differ from those offered by traditional sportsbooks. Sportsbooks set initial lines based on their own analysis, while this market’s odds are determined by traders actively buying and selling contracts. This dynamic can lead to discrepancies, as the market responds to new information or differing opinions about the likely outcome of the Ohio State vs Iowa game. It’s common to see the market odds move in response to news or events that haven’t yet been fully priced into sportsbook lines.

On Kalshi, this market is priced using a continuous double auction. Traders place buy and sell orders for contracts that pay out $1 if their predicted outcome occurs, and $0 if it doesn't. The current price of a contract represents the market’s probability of that outcome happening. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price fluctuates to reflect the collective assessment of the likelihood of either team scoring the first touchdown in the Ohio State vs Iowa game. This creates a real-time, market-driven forecast.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which team scores the first touchdown in the Ohio State vs Iowa game. The result will be based on official game statistics and play-by-play data, ensuring an objective and verifiable outcome. Traders will then receive their payouts based on whether their chosen outcome aligned with the final result of the game.

Several factors could influence the odds in this market before the game concludes. Any news regarding key player injuries for either the Ohio State or Iowa teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also shift expectations. Furthermore, late-breaking news about coaching strategies or team morale could impact trader sentiment. Even significant betting activity in traditional sportsbooks could influence the price as traders react to broader market signals.