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417,059

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4,415

PLATFORM COVERAGE:

5

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Maryland vs Ohio St.: 1st Half Winner
kalshi

What is the result of Maryland vs Ohio St.?

Volume:
$23,163

Ohio St. wins 1st Half

 - Kalshi

Ohio St. wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:59 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. wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$10,773
N/A
N/A
$6,627
Settled
Yes
kalshi

Maryland wins 1st Half

0%
4%
Yes 0¢No 100¢
—
N/A
$9,420
N/A
N/A
$8,259
Settled
No
kalshi

Tie 1st Half

0%
2%
Yes 0¢No 100¢
—
N/A
$2,970
N/A
N/A
$2,812
Settled
No
Total markets: 3

Description

This market tracks which team will lead at halftime in an upcoming college football game between Maryland and Ohio State. It focuses solely on the first half performance, ignoring the final outcome of the full game. Bettors can speculate on either team's ability to dominate the opening half or on a tie scenario.

Kalshi

The market resolves based on which team leads at the end of the first half of the Maryland vs Ohio State college football game scheduled for October 10, 2026. If Ohio State scores more points than Maryland in the first half, the 'Ohio St. wins 1st Half' market resolves to Yes. If Maryland scores more points than Ohio State in the first half, the 'Maryland wins 1st Half' market resolves to Yes. If both teams score the same number of points in the first half, resulting in a tie, the 'Tie 1st Half' market resolves to Yes. For all markets, only points scored during the first half count toward resolution. If the game is postponed but commences within 48 hours of its original 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 original scheduled time, all markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Maryland vs Ohio State game tracks the current odds for each possible outcome in the first half, along with a price history chart showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $22,246, and the total volume traded to date, which is $23,163. This allows you to gauge market sentiment and see how much activity there is surrounding this particular contest. The dashboard provides a real-time view of how traders are assessing the likelihood of each team winning the first half.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on models and internal analysis, while this market is driven by individuals trading based on their own information and beliefs. Often, prediction markets are more accurate than traditional point spreads, especially as the event approaches and more information becomes available. However, sportsbook odds are readily available and provide a useful benchmark for comparison. It’s common to see discrepancies, particularly early on, as the market develops its own assessment of the likely outcome.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the Maryland vs Ohio State game will determine the outcome. The official result, as reported by a trusted sports data source, will be used to settle the market. Traders who correctly predicted the first-half winner will receive a payout based on the odds at the time of resolution. It’s important to monitor the event closely as it approaches to stay informed of any potential developments that could impact the final result.

Several factors could influence the trading activity in this market. Any news regarding key player injuries or suspensions for either Maryland or Ohio State would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact playing conditions, could also shift the odds. Unexpected coaching decisions or strategic adjustments announced before the game might also influence trader sentiment. Finally, any significant public statements from analysts or experts offering strong opinions about the game’s likely outcome could also contribute to price fluctuations in this market.