TOTAL VOLUME:

$146.7b

24H VOL:

$162,970,420

24H TRANSACTIONS:

2,781,800,361

OPEN INTEREST:

$1,740,912,349

501,518

Markets across

37,286

events

MATCHED EVENTS:

2,933

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

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Maryland vs Ohio St.
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What is the result of Maryland vs Ohio St?

Volume:
$3,964,574

Ohio St.

 - Kalshi

Ohio St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 7:34 PM EST

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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.

View
100%
Yes 100¢No 0¢
—
N/A
$520,103
N/A
N/A
$497,244
Settled
Yes
kalshi

Maryland

0%
Yes 0¢No 100¢
—
N/A
$3,444,471
N/A
N/A
$3,314,103
Settled
No
Total markets: 2

Intro

This market tracks whether Ohio State will win its college football game against Maryland. Currently, Kalshi gives Ohio State a 99.0% probability of winning, while Maryland is at 1.0%. The market resolves based on the outcome of the Maryland vs Ohio St. college football game, as determined by the final score, with resolution information available from Kalshi. Keep an eye on the game itself, scheduled for October 10, 2026, as the result of this fixture will determine the market’s outcome.

Kalshi

The market resolves to Yes for the specified team if they win the college football game originally scheduled for Oct 10, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Maryland vs Ohio State game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome changes over time, reflecting the collective predictions of traders. Currently, the total volume for this market is $3,964,574, and the 24-hour volume is $3,623,284. This provides a real-time view of market sentiment regarding the game's potential results, allowing you to analyze how predictions evolve as new information becomes available.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the aggregate wisdom of crowd predictions. If a significant discrepancy exists between the two, it may indicate that the crowd believes the sportsbook is mispricing the probability of a particular outcome. However, it’s important to remember that both represent probabilities, and neither guarantees the actual result of the Maryland vs Ohio State game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, effectively translating into an implied probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders believe an outcome is likely, the price of that contract increases, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust predictions in real-time, providing a unique view of expectations for the Maryland vs Ohio State game.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Maryland vs Ohio State game, as determined by official sources. The platform will verify the final score and declare the winning outcome based on this information. Traders holding contracts corresponding to the correct result will be paid out according to the final market price at resolution.

Several factors could significantly impact this market before Oct 10, 2026. Key injuries to star players on either team, changes in coaching strategies, or even unexpected weather conditions could all shift expectations. News reports regarding team morale or player availability, as well as updated statistical analysis, can also influence trading activity. Any information that alters the perceived probability of either team winning the Maryland vs Ohio State game is likely to cause movement in the market prices.