TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Ohio St. vs USC: 1st Quarter Winner
kalshi

What is the result of Ohio St. vs USC?

Volume:
$27,092

USC

 - Kalshi

USC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 8:16 PM EST

kalshi

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

USC

View
100%
Yes 100¢No 0¢
—
N/A
$10,038
N/A
N/A
$7,544
Settled
Yes
kalshi

Ohio St.

0%
47%
Yes 0¢No 100¢
—
N/A
$12,040
N/A
N/A
$8,136
Settled
No
kalshi

Tie

0%
19%
Yes 0¢No 100¢
—
N/A
$5,014
N/A
N/A
$2,481
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of an Ohio State versus USC college football game. It reflects the competitive momentum early in the match, with specific conditions for game delays and cancellations.

Kalshi

If USC wins the 1st quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Ohio St. wins the 1st quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Ohio St. vs USC college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Ohio State vs USC game tracks the current odds for each team to win the first quarter, along with the trading volume. You can view a price history chart to see how the market has moved over time, and observe the 24-hour volume to gauge recent trading activity. Currently, the total volume for this market is $16,704, with $15,858 traded in the last 24 hours. This allows participants to understand market sentiment and make informed decisions.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while this market’s prices are driven by actual money being wagered. It’s common to see discrepancies between the two, especially as new information emerges or public opinion shifts. Examining these differences can be valuable for identifying potential mispricings or gaining a broader understanding of expected outcomes.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, reflecting growing confidence in their chances of winning the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, providing a real-time assessment of expectations.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading after the first quarter of the Ohio State vs USC game will be declared the winner of this market. The resolution will be based on the official game results as reported by a trusted sports news source. Traders will be able to view the final result and settlement details on Kalshi following the conclusion of the first quarter.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries, changes in weather conditions, or significant coaching decisions could shift expectations and impact trading activity. Unexpected pre-game analysis or public statements from influential figures could also play a role. Furthermore, large volume trades on Kalshi can quickly move the market, especially if they signal strong conviction from informed traders. Monitoring these signals will be crucial for understanding potential price fluctuations.