TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Ohio St. vs USC
kalshi

What is the result of Ohio St. vs USC?

Volume:
$23,908,868

USC

 - Kalshi

USC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 11:09 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

USC

View
100%
Yes 100¢No 0¢
—
N/A
$9,473,437
N/A
N/A
$4,559,719
Settled
Yes
kalshi

Ohio St.

0%
68%
Yes 0¢No 100¢
—
N/A
$14,435,430
N/A
N/A
$7,264,796
Settled
No
Total markets: 2

Intro

This market tracks whether USC will win its college football game against Ohio State. Currently, Kalshi gives USC a 90.0% probability of winning, while Ohio State is at 11.0%. The market will resolve based on the outcome of the Ohio State vs USC college football game originally scheduled for October 31, 2026, as reported by the official game results. Keep an eye on the game itself, as the market resolves to Yes if USC wins the match when it is officially played on October 31, 2026.

Kalshi

The market resolves based on the result of the Ohio State versus USC college football game scheduled for October 31, 2026. If either team wins the game as officially determined, the corresponding market will resolve to Yes. If the game is postponed but starts within 48 hours of the original time, the market remains open to reflect the actual result. If the game is cancelled or fails to start within that 48-hour window, the market resolves to a fair price, ensuring equitable treatment for all participants. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs USC game tracks the current odds of each possible outcome, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $22,698,799, and the total volume traded to date, which is $23,528,284. This allows you to see how much activity there is in this market and understand where traders are placing their bets. The dashboard provides a real-time view of the collective predictions surrounding this highly anticipated matchup.

Generally, prediction market odds tend to reflect a more accurate forecast than traditional sportsbook odds, as they aggregate the wisdom of many individuals rather than relying on a few experts. However, sportsbook odds often move more quickly in response to breaking news or significant events. It’s common to see initial discrepancies between the two, with this market potentially offering different probabilities than those found at sportsbooks. Discrepancies can arise due to differing levels of information available to each group and the incentives of those making the predictions.

This market resolves around Nov 1, 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 Ohio State vs USC game, as reported by a widely recognized sports news source. The platform will determine the winning outcome based on the final score and official game statistics. Traders holding contracts for the winning outcome will be paid out according to the market’s pricing at the time of resolution.

Several factors could significantly impact this market. Any major news regarding injuries to key players on either the Ohio State or USC teams would likely cause shifts in the odds. Changes in coaching strategies, weather forecasts for the game day, or even significant media coverage influencing public perception could also move the market. Unexpected announcements about player availability or performance could also lead to rapid price adjustments, as traders react to the new information and reassess the probabilities of each outcome.