TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

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Louisiana vs USC: 2nd Quarter Winner
kalshi

What is the result of Louisiana vs USC?

Volume:
$16,017

USC wins 2nd Quarter

 - Kalshi

USC wins 2nd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 13, 12:31 AM 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 wins 2nd Quarter

View
100%
14%
Yes 100¢No 0¢
100¢
N/A
$9,004
N/A
N/A
$8,003
Settled
Yes
kalshi

Louisiana wins 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$5,534
N/A
N/A
$5,059
Settled
No
kalshi

Tie 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,478
N/A
N/A
$963
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 Louisiana and USC. It tracks performance during a defined segment of play, offering insight into short-term team effectiveness.

Kalshi

If USC wins the 2nd quarter of the Louisiana vs USC college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Louisiana wins the 2nd quarter of the Louisiana vs USC college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Louisiana vs USC college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Louisiana vs USC 2nd quarter market tracks the current price of contracts representing each possible outcome – which team will win the 2nd quarter. You’ll also find a price history chart showing how the odds have changed over time, and the 24-hour trading volume, currently at $15,967. The total volume traded on this market is $16,017. This allows traders to see market sentiment and how it’s evolving as the game approaches. The dashboard provides a real-time view of where traders are placing their bets.

Often, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to be accurate. If a significant discrepancy exists between the two, it may indicate that the market believes the sportsbook is mispricing the probability of a particular outcome. However, it’s important to remember that both represent probabilities based on different methodologies and information sources, and can diverge due to differing opinions.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts corresponding to each possible outcome. The price of a contract represents the probability of that outcome occurring, as perceived by the market participants. As more traders buy contracts for a particular team, the price increases, reflecting a higher perceived probability of victory. 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 the likely winner of the 2nd quarter.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading at the end of the 2nd quarter of the Louisiana vs USC football game. The official game results will be used to determine the winning team for the purposes of this market. Traders will be able to see the final result reflected in their account balances following the official confirmation of the game's outcome.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Louisiana or USC teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the odds. Furthermore, as the game draws closer, any updates on team strategies or starting lineups could cause the market to react. Public sentiment, as reflected in betting patterns and media coverage, will also play a role in shaping the probabilities reflected in this market.