TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
UCLA vs Oregon: 1st Half Winner
kalshi

What is the result of UCLA vs Oregon?

Volume:
$165,073

UCLA wins 1st Half

 - Kalshi

UCLA wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:23 PM EST

kalshi

Kalshi

View
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 wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$80,080
N/A
N/A
$41,110
Settled
Yes
kalshi

Oregon wins 1st Half

0%
70%
Yes 0¢No 100¢
—
N/A
$65,450
N/A
N/A
$35,729
Settled
No
kalshi

Tie 1st Half

0%
7%
Yes 0¢No 100¢
—
N/A
$19,544
N/A
N/A
$8,579
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between UCLA and Oregon. It focuses solely on which team leads at halftime, without considering the full-game result. The market accounts for potential game postponements within a defined window.

Kalshi

If Oregon wins the 1st half of the UCLA vs Oregon college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If UCLA wins the 1st half 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 1st half 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 1st half market displays the current price of each outcome – which team will win the first half. It also shows a price history chart, allowing you to see how the market has moved over time. You can view the total volume traded on this market, currently at $165,073, as well as the 24-hour volume, which is $163,118. This provides a snapshot of recent trading activity and overall interest in predicting the first half winner.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance betting action, while this market’s price is driven purely by individuals willing to buy or sell based on their beliefs about the outcome. If a significant number of people believe UCLA has a strong chance of winning the first half, the price for that outcome will increase, potentially moving it away from the sportsbook’s initial line. Discrepancies can arise due to differing information, biases, or risk assessments.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either UCLA or Oregon winning the first half. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. 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 will adjust to reflect the collective assessment of the likely winner. The current top outcome, as indicated by the highest price, is UCLA winning the first half.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the UCLA vs Oregon game. Official game statistics will be used to determine the winner, and the market will settle to 100 for the winning team’s outcome. Any disputes or ambiguities will be resolved based on the official game results as reported by recognized sports authorities.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the UCLA or Oregon teams would likely have a significant impact. Changes in team performance during recent games, weather conditions expected during the game, or even shifts in public sentiment based on expert analysis could all cause traders to adjust their positions. Unexpected announcements about starting lineups or coaching strategies could also lead to volatility in this market, as traders react to new information and reassess the probabilities.