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Ohio St. vs Indiana: 1st Half / Fulltime Result
kalshi

What is the result of Ohio St. vs Indiana?

Volume:
$217,398

Ohio St. 1H / Ohio St. game

 - Kalshi

Ohio St. 1H / Ohio St. game - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 3:54 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Ohio St. 1H / Ohio St. game

View
100%
59%
Yes 100¢No 0¢
—
N/A
$102,842
N/A
N/A
$67,507
Settled
Yes
kalshi

Ohio St. 1H / Indiana game

View
0%
Yes 0¢No 100¢
—
N/A
$80,343
N/A
N/A
$45,565
Settled
No
kalshi

Indiana 1H / Ohio St. game

View
0%
Yes 0¢No 100¢
—
N/A
$12,230
N/A
N/A
$7,079
Settled
No
kalshi

Tie 1H / Ohio St. game

View
0%
Yes 0¢No 100¢
—
N/A
$8,550
N/A
N/A
$6,990
Settled
No
kalshi

Indiana 1H / Indiana game

View
0%
Yes 0¢No 100¢
—
N/A
$6,880
N/A
N/A
$2,889
Settled
No
kalshi

Tie 1H / Indiana game

View
0%
Yes 0¢No 100¢
—
N/A
$6,553
N/A
N/A
$6,026
Settled
No
Total markets: 6

Description

These markets focus on the interplay between the first half and full game outcomes in an upcoming college football matchup. Each market requires a specific combination of results in both halves to be correct for resolution. The events consider various possible scenarios, including wins by either team or a tie in the first half, combined with different full game results.

Kalshi

The official rules for these markets dictate that resolution hinges on the precise combination of the first half and full game results in the specified Ohio St. vs Indiana college football game. For a market to resolve as 'Yes,' both the first half and full game conditions must be met exactly as described in the individual market rules. If either condition is not satisfied, the market resolves to 'No.' Postponements are handled such that if the game starts within 48 hours of its original time, the markets remain open to resolve based on the actual results. If the game does not commence within this 48-hour window, the markets will resolve to a fair price, ensuring equitable treatment for all participants. All outcomes, including overtime results, are considered in determining the final resolution.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs Indiana game tracks the current odds for various outcomes, including who will win the first half and the fulltime result. You can also view the price history of these outcomes, allowing you to see how predictions have shifted over time. Additionally, the dashboard displays the 24-hour trading volume, currently at $210,472, and the total volume traded to date, which is $217,398. This provides a snapshot of market activity and interest in this particular contest.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows traders to express their own beliefs, potentially leading to odds that more accurately predict the final outcome as new information becomes available. Discrepancies can arise due to differing opinions, public sentiment, and the dynamic nature of trading activity. It's common to see prediction markets react more quickly to breaking news or late-developing trends.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Ohio State vs Indiana game—specifically, the winner of both the first half and the full game—will be used to determine the winning contracts. Resolution will be based on official game statistics and results as reported by recognized sports authorities. Traders holding contracts corresponding to the correct outcome will be paid out according to the market price at resolution.

Several factors could influence this market before Oct 17, 2026. Key player injuries on either the Ohio State or Indiana teams would likely cause significant shifts in the odds. Unexpected coaching changes or significant changes in team strategy could also impact predictions. Furthermore, any news regarding team morale, weather conditions expected during the game, or even public betting patterns could all contribute to price movements. Major upsets in other college football games that affect overall conference standings might also indirectly influence trading activity in this market.