TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

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40,178

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MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

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Ohio St. vs Indiana: 1st Quarter Winner
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What is the result of Ohio St. vs Indiana?

Volume:
$90,593

Ohio St.

 - Kalshi

Ohio St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 1:00 PM EST

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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.

View
100%
55%
Yes 100¢No 0¢
—
N/A
$44,001
N/A
N/A
$26,175
Settled
Yes
kalshi

Indiana

0%
38%
Yes 0¢No 100¢
—
N/A
$28,909
N/A
N/A
$20,236
Settled
No
kalshi

Tie

0%
22%
Yes 0¢No 100¢
—
N/A
$17,683
N/A
N/A
$16,362
Settled
No
Total markets: 3

Description

The market assesses which team will lead after the first quarter of an Ohio State versus Indiana college football game. Scoring during this period determines the outcome, with specific handling for game postponements.

Kalshi

This market resolves based on which team scores more points in the first quarter of the Ohio State versus Indiana college football game scheduled for October 17, 2026. If Indiana scores more points in the first quarter, the market resolves to Yes for the Indiana outcome. If Ohio State scores more points in the first quarter, the market resolves to Yes for the Ohio State outcome. If neither team scores or both teams score the same number of points in the first quarter, the market resolves to Yes for the Tie outcome. Only points scored during the first quarter count toward this market. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market remains open and resolves based on the official result. If the game does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs Indiana game tracks the current odds for each possible outcome in the first quarter, 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 $64,959, and the total volume traded to date, reaching $90,593. This provides a real-time view of how traders are assessing the likelihood of each team winning the opening quarter of the game.

Generally, prediction market odds reflect the wisdom of the crowd, often converging with sportsbook odds as the event approaches. However, differences can emerge due to varying levels of information and incentives. Sportsbooks incorporate a 'vig' or commission into their odds to ensure profitability, while this market allows traders to directly bet against each other with lower fees. It's common to see this market react more quickly to new information or shifts in sentiment than traditional sportsbooks, potentially offering different value depending on your assessment of the game.

This market resolves around Oct 17, 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 Indiana game will determine the outcome. The official result will be sourced from established sports data providers and widely available game statistics. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence this market before the game concludes. Any news regarding key player injuries or changes to the starting lineup for either Ohio State or Indiana would likely cause significant movement. Unexpected weather conditions could also play a role, potentially favoring one team's playing style over the other. Additionally, major shifts in public sentiment, reflected in betting patterns and expert analysis, could drive price changes as traders adjust their predictions based on the latest information available.