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406,065

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2,692

PLATFORM COVERAGE:

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Fresno St. vs USC: 3rd Quarter Winner
kalshi

What is the result of Fresno St. vs USC?

Volume:
$2,719

USC wins 3rd Quarter

 - Kalshi

USC wins 3rd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 5, 2026

Closed: Sep 4, 11:24 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 wins 3rd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,051
N/A
N/A
$1,043
Settled
Yes
kalshi

Fresno St. wins 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,044
N/A
N/A
$1,029
Settled
No
kalshi

Tie 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$624
N/A
N/A
$597
Settled
No
Total markets: 3

Description

This market tracks which team will score more points in the third quarter of a college football game between Fresno State and USC. It reflects the competitive dynamics of the game during a specific period, offering insight into potential momentum shifts. The outcome depends solely on third-quarter performance, regardless of the overall game result.

Kalshi

If USC wins the 3rd quarter of the Fresno St. vs USC college football game originally scheduled for Sep 4, 2026, then the market resolves to Yes. If Fresno St. wins the 3rd quarter of the Fresno St. vs USC college football game originally scheduled for Sep 4, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Fresno St. vs USC college football game originally scheduled for Sep 4, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Fresno State vs USC 3rd quarter market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $1,751 and total volume to date is $2,719. You can see how the price of a 'yes' outcome has fluctuated over time, providing insight into how traders perceive the likelihood of either team winning the third quarter. This allows you to monitor market sentiment and potentially identify advantageous trading opportunities as the game approaches.

Generally, 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 aim to balance action on both sides, while this market aggregates the opinions of many individual traders. Often, prediction markets are more accurate than traditional forecasts, especially when there's significant public interest in the event. However, sportsbook odds are readily available and provide a useful benchmark for comparison, and discrepancies can present potential arbitrage opportunities for informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of a specific outcome. The price of a contract ranges from 0 to 100, representing a percentage chance. As more people buy contracts for a particular team to win the third quarter, the price increases, 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 collective intelligence of all participants, creating a real-time assessment of the likely winner.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the third quarter of the Fresno State versus USC football 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, ensuring a fair and transparent outcome for all traders. The platform will then distribute payouts based on the final result.

Several factors could influence the price of this market leading up to game time. News regarding key player injuries for either Fresno State or USC would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team's playing style, could also impact trading activity. Furthermore, any significant shifts in public perception or expert analysis regarding the teams' chances of winning could drive price fluctuations. Finally, large trading volume from informed participants could also signal a change in market sentiment and cause the price to move.