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%

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Kalshi:

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UCLA vs Oregon: 2nd Quarter Winner
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What is the result of UCLA vs Oregon?

Volume:
$18,700

UCLA

 - Kalshi

UCLA - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:20 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

UCLA

View
100%
Yes 100¢No 0¢
—
N/A
$7,698
N/A
N/A
$5,140
Settled
Yes
kalshi

Oregon

0%
Yes 0¢No 100¢
—
N/A
$8,997
N/A
N/A
$7,431
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,006
N/A
N/A
$1,130
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 UCLA and Oregon. It tracks performance during a defined segment of play, offering a granular view of in-game dynamics rather than overall game results.

Kalshi

If Oregon wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If UCLA wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the UCLA vs Oregon 2nd quarter market provides real-time insights into how traders are pricing the potential outcomes. You’ll find the current odds for each team to win the second quarter, a price history chart displaying how those odds have changed over time, and the 24-hour trading volume, which is currently $16,901. The total volume traded on this market is $18,700, indicating the level of interest and activity among participants. This allows you to gauge market sentiment and track changes in expectations.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, while this market incorporates a broader range of information and perspectives from many traders. If sportsbook odds heavily favor one team, but volume in this market is distributed more evenly, it could suggest that prediction market participants believe the outcome is less certain than implied by the sportsbook. It’s a valuable comparison to consider when forming your own opinion.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team winning the second quarter. The price of a contract reflects the market’s collective belief about that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect new information and changing expectations. The higher the price of a contract, the greater the implied probability of that outcome, and vice versa. Traders aim to profit by accurately predicting the outcome and capitalizing on price discrepancies.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the UCLA vs Oregon 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 then be able to claim their winnings or adjust their strategies based on the final result.

Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift expectations and impact the odds. Unexpected performance in the first quarter of the game would likely cause significant movement, as traders react to the unfolding events. Public sentiment and media coverage can also play a role, influencing the flow of capital into and out of different contracts. Monitoring these signals can help you understand potential shifts in this market.