TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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

Volume:
$11,836

Wisconsin

 - Kalshi

Wisconsin - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 24, 10:50 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

Wisconsin

View
100%
Yes 100¢No 0¢
—
N/A
$6,712
N/A
N/A
$5,480
Settled
Yes
kalshi

USC

0%
Yes 0¢No 100¢
—
N/A
$2,688
N/A
N/A
$2,261
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,437
N/A
N/A
$1,382
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of the USC vs Wisconsin college football game scheduled for October 24, 2026. It evaluates performance strictly from the midpoint of the game onward, ignoring the first half's results.

Kalshi

If Wisconsin wins the 2nd half (including overtime) 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 half (including overtime) 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 half (including overtime) 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 half market displays the current price of each outcome – which team will win the second half. It also provides a price history chart, allowing you to see how the market has fluctuated over time. You’ll find the total volume traded in this market, currently at $11,816, and the 24-hour volume, which is $11,390. This information helps traders understand market sentiment and potential trading opportunities related to this specific matchup.

Often, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market allows anyone to trade on their belief about the outcome. If a significant number of traders believe a team is more likely to win than sportsbooks suggest, the price for that outcome will decrease, indicating higher implied probability. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams' strengths and weaknesses.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s collective probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, and the implied probability decreases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism ensures that the market reflects the most up-to-date information and expectations of participants regarding the second-half winner.

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 second half 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 holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either USC or Wisconsin would likely cause significant movement. Changes in team performance during the first half of the game, or even pre-game reports about coaching strategies, could also shift trader sentiment. Unexpected weather conditions, if they impact the game, could also play a role. Ultimately, any information that alters perceptions of each team’s chances of winning the second half could lead to price fluctuations.