TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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UCLA vs Oregon: 3rd Quarter Winner
kalshi

What is the result of UCLA vs Oregon?

Volume:
$38,470

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 6:15 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$8,025
N/A
N/A
$5,845
Settled
Yes
kalshi

UCLA

0%
Yes 0¢No 100¢
—
N/A
$24,194
N/A
N/A
$18,324
Settled
No
kalshi

Oregon

0%
Yes 0¢No 100¢
—
N/A
$6,251
N/A
N/A
$4,383
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 provides a way to bet on short-term performance rather than the overall game outcome. The resolution depends solely on the third quarter's scoring dynamics.

Kalshi

If Oregon wins the 3rd 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 3rd 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 3rd 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 3rd quarter market displays the current price of each possible outcome – which team wins the third quarter, or if it ends in a tie. You can also view the 24-hour volume, which currently stands at $30,102, and the total volume traded to date, totaling $38,470. The dashboard provides a historical price chart, allowing you to analyze how the market has moved over time. This helps traders understand market sentiment and potential trading opportunities related to this specific contest.

Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they do so through different mechanisms. Sportsbooks set odds based on their internal models and aim to balance their risk, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information, biases, or simply variations in opinion. If you find a significant difference between the implied probability on Kalshi and sportsbook odds, it could signal a potential trading opportunity, or indicate that the market has information the sportsbook does not.

On Kalshi, this market is priced through a continuous double auction. Traders submit buy and sell orders for contracts representing each possible outcome of the third quarter. The price of a contract reflects the market's assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust to reflect the evolving consensus. The current top outcome, as indicated by the highest price, is a 3rd quarter tie, though the market is dynamic and this can change rapidly.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the third quarter of the UCLA vs Oregon game, or a tie, will determine the winning contract. The official game results, as reported by a trusted sports data source, will be used to determine the final outcome. The resolution process is designed to be objective and transparent, ensuring a fair and accurate settlement of all contracts traded in this market.

Several factors could influence the price movement of this market. Late-breaking news regarding player injuries to key players on either the UCLA or Oregon teams would likely cause significant shifts. Changes in weather conditions, particularly if they favor one team's playing style, could also impact the market. Even public sentiment, as reflected in social media or expert analysis, can influence trader behavior and drive price fluctuations. Any significant development related to the game’s dynamics has the potential to move this market before it resolves.