TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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USC vs Wisconsin: 2nd Quarter Winner
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What is the result of USC vs Wisconsin?

Volume:
$10,214

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 9:04 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$1,527
N/A
N/A
$1,209
Settled
Yes
kalshi

Wisconsin

0%
Yes 0¢No 100¢
—
N/A
$7,564
N/A
N/A
$6,617
Settled
No
kalshi

USC

0%
52%
Yes 0¢No 100¢
—
N/A
$1,124
N/A
N/A
$989
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between USC and Wisconsin. It provides a way to speculate on short-term performance during the second quarter of play. The outcome depends solely on the points scored in that quarter, not the overall game result.

Kalshi

If Wisconsin wins the 2nd quarter of the USC vs Wisconsin college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If USC wins the 2nd quarter of the USC vs Wisconsin college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the USC vs Wisconsin college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the USC vs Wisconsin 2nd quarter market displays the current price of each possible outcome – which team will win the 2nd quarter. It also provides a price history chart, allowing you to see how the odds have changed over time. You’ll find the total volume traded in this market, currently at $10,214, and the 24-hour volume, which is $10,090. This data reflects the collective predictions of traders on Kalshi regarding the 2nd quarter winner of the USC vs Wisconsin game.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, particularly as an event approaches. Sportsbooks set initial lines to balance action, while this market’s prices are driven by individuals willing to put their capital behind their beliefs. Discrepancies can emerge due to differing information, biases, or simply variations in how each assesses the probability of an outcome. It’s common to see this market adjust rapidly to new information, potentially exceeding the responsiveness of sportsbook lines.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either USC or Wisconsin winning the 2nd quarter. The price of a contract reflects the market’s implied probability of that outcome occurring. As more traders buy a contract, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the volume available at different price points, indicating the strength of conviction among traders. This dynamic pricing mechanism allows the market to aggregate information and generate a forecast.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 2nd quarter of the USC vs Wisconsin 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 data source. Traders will be able to view the resolution details on Kalshi following the completion of the game and verification of the final score.

Several factors could influence the price movement of this market. Any news regarding key player injuries for either USC or Wisconsin would likely have a significant impact. Changes in team performance during the first quarter of the game, or even pre-game reports on team strategy, could also shift trader sentiment. Unexpected weather conditions, if they affect the game, could also be a catalyst. Finally, large volume trades on Kalshi from informed traders could quickly alter the prices and reflect new insights.