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$228,458,490

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$1,879,276,037

410,833

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4,363

PLATFORM COVERAGE:

5

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

Volume:
$19,609

USC

 - Kalshi

USC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 11:12 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

USC

View
100%
Yes 100¢No 0¢
—
N/A
$3,512
N/A
N/A
$2,816
Settled
Yes
kalshi

Washington

0%
48%
Yes 0¢No 100¢
—
N/A
$11,727
N/A
N/A
$7,471
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$4,370
N/A
N/A
$2,952
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of a college football game between Washington and USC. It reflects the competitive dynamics of the latter portion of the matchup, where momentum and strategy adjustments often play a crucial role. The outcome depends solely on second-half performance, not the overall game result.

Kalshi

If USC wins the 2nd half (including overtime) of the Washington vs USC college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Washington wins the 2nd half (including overtime) of the Washington vs USC college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the Washington vs USC college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Washington vs USC 2nd half market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities shift as traders buy and sell contracts predicting which team will win the second half. Currently, the 24-hour volume is $14,012 and total volume is $19,609. This data provides a real-time view of how the crowd is assessing the likely outcome of the second half of the game, offering insight beyond traditional pre-game analysis.

Prediction market odds often reflect the 'wisdom of the crowd,' potentially differing from initial sportsbook lines which are typically set by experts. Sportsbooks may initially incorporate biases or react slowly to new information, whereas this market aggregates diverse opinions quickly. It's common to see prediction market prices move in response to news or events that haven't fully impacted sportsbook odds, and vice-versa. While both aim to predict the same outcome, the mechanisms and information sources differ, leading to potential discrepancies in implied probabilities.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the probability of each outcome. The price of a contract reflects the market's collective assessment of that outcome's likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices converge towards a consensus view. The platform uses a margin system, requiring traders to deposit collateral to cover potential losses, ensuring the market remains solvent and functioning efficiently. The current top outcome is a tie in the 2nd half, though the chance percentage is not currently available.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the second half of the Washington vs USC game will determine the outcome. The platform will verify the result against official game statistics and reporting to ensure accuracy. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will forfeit their initial investment. The resolution process is designed to be transparent and based on objective data.

Several factors could influence this market before resolution. Any significant news regarding player injuries, changes in coaching strategy, or even weather conditions could shift the perceived probabilities. Unexpected performance during the first half of the game would likely trigger substantial movement, as traders adjust their predictions based on observed momentum. Public sentiment, as reflected in social media or expert analysis, can also play a role, though the market's price is ultimately driven by actual trading activity on Kalshi.