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Ohio St. vs Iowa: 1st Half Spread
kalshi

What is the result of Ohio St. vs Iowa?

Volume:
$690,638

Ohio St. wins by over 7.5 points

 - Kalshi

Ohio St. wins by over 7.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 5:16 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

Ohio St. wins by over 7.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$177,771
N/A
N/A
$109,264
Settled
Yes
kalshi

Ohio St. wins by over 6.5 points

100%
Yes 100¢No 0¢
—
N/A
$129,313
N/A
N/A
$88,795
Settled
Yes
kalshi

Ohio St. wins by over 9.5 points

100%
53%
Yes 100¢No 0¢
—
N/A
$95,960
N/A
N/A
$44,681
Settled
Yes
kalshi

Ohio St. wins by over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$74,909
N/A
N/A
$32,991
Settled
Yes
kalshi

Ohio St. wins by over 4.5 points

100%
40%
Yes 100¢No 0¢
—
N/A
$39,464
N/A
N/A
$27,026
Settled
Yes
kalshi

Ohio St. wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$26,701
N/A
N/A
$12,159
Settled
Yes
kalshi

Ohio St. wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$9,029
N/A
N/A
$6,323
Settled
Yes
kalshi

Ohio St. wins by over 13.5 points

0%
30%
Yes 0¢No 100¢
—
N/A
$48,985
N/A
N/A
$21,385
Settled
No
kalshi

Ohio St. wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$34,237
N/A
N/A
$20,341
Settled
No
kalshi

Iowa wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$14,878
N/A
N/A
$6,894
Settled
No
kalshi

Ohio St. wins by over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$12,279
N/A
N/A
$10,473
Settled
No
kalshi

Ohio St. wins by over 17.5 points

0%
33%
Yes 0¢No 100¢
—
N/A
$9,838
N/A
N/A
$6,012
Settled
No
kalshi

Iowa wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,929
N/A
N/A
$3,928
Settled
No
kalshi

Ohio St. wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,915
N/A
N/A
$2,031
Settled
No
kalshi

Iowa wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,623
N/A
N/A
$2,086
Settled
No
kalshi

Iowa wins by over 4.5 points

0%
13%
Yes 0¢No 100¢
—
N/A
$2,352
N/A
N/A
$2,223
Settled
No
kalshi

Iowa wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,930
N/A
N/A
$1,895
Settled
No
kalshi

Iowa wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,648
N/A
N/A
$1,593
Settled
No
kalshi

Iowa wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,005
N/A
N/A
$999
Settled
No
kalshi

Iowa wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$518
N/A
N/A
$507
Settled
No
kalshi

Iowa wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$355
N/A
N/A
$355
Settled
No
Total markets: 21

Description

This set of markets focuses on predicting the margin of victory for either Ohio State or Iowa in the first half of their upcoming college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the first half to resolve as 'Yes'.

Kalshi

All markets resolve based solely on points scored during the first half of the Ohio St. vs Iowa college football game scheduled for Oct 3, 2026. For markets where Ohio State wins by a specified margin (e.g., over 23.5 points), resolution occurs if Ohio State's first-half point differential exceeds that threshold. Conversely, markets specifying Iowa's victory by a certain margin (e.g., over 2.5 points) resolve if Iowa achieves that differential. If the game is postponed but commences within 48 hours of the 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 regardless of the specific outcome thresholds.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State-Iowa 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, allowing you to analyze how predictions have shifted over time. The dashboard also displays the 24-hour trading volume of $681,232 and the total volume traded to date of $690,638. This provides insight into market activity and the level of interest in various outcomes for this particular matchup.

Often, prediction market odds reflect the wisdom of the crowd, potentially differing from initial sportsbook lines. Sportsbooks set their lines based on their own models and risk assessment, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe the sportsbook's line is inaccurate, the price in this market will move accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts closer to game time. Comparing the two can offer a broader perspective on the likely outcome.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. Traders are essentially betting on whether the actual first-half spread will be above or below the contract's spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who buy contracts predicting a particular spread, the higher the price will rise, and vice versa. This dynamic pricing mechanism aims to accurately reflect the collective prediction of market participants.

This market resolves around Oct 3, 2026, with the outcome confirmed once the official first-half spread of the Ohio State-Iowa game is verifiable from credible public reporting. The resolution will be based on the final, official spread as determined by the game's governing body. The market will settle to 100 for the contract corresponding to the actual spread, and 0 for all other contracts. Traders holding the winning contract will receive a payout of 100 minus the commission paid when purchasing the contract.

Several factors could influence the price of this market. News regarding injuries to key players on either the Ohio State or Iowa teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's style of play, could also shift predictions. Unexpected announcements about coaching strategies or team morale could also move the market. Finally, any major shifts in public perception, reflected in polls or expert analysis, could influence trader behavior and cause the price to fluctuate.