TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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UCLA vs California: 1st Quarter Winner
kalshi

What is the result of UCLA vs California?

Volume:
$6,506

Tie 1st Quarter

 - Kalshi

Tie 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 6, 2026

Closed: Sep 5, 11:18 PM 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

Tie 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,718
N/A
N/A
$1,712
Settled
Yes
kalshi

UCLA wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$3,373
N/A
N/A
$3,261
Settled
No
kalshi

California wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,415
N/A
N/A
$1,369
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between UCLA and California. It focuses solely on the scoring dynamics during the initial 15 minutes of play, ignoring the rest of the game’s outcome. The result depends entirely on who holds the points advantage at the end of the first quarter.

Kalshi

If California wins the 1st quarter of the UCLA vs California college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If UCLA wins the 1st quarter of the UCLA vs California college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the UCLA vs California college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the UCLA vs California 1st quarter market displays the current price, a history of price movements, and the 24-hour trading volume. Currently, volume stands at $3,892 and total volume is $6,506. This allows traders to gauge market sentiment and track how predictions are evolving as new information becomes available. The dashboard provides a real-time view of where traders believe the probability lies for each possible outcome in this first quarter matchup, offering a dynamic assessment of the game's early stages.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which may be influenced by factors like public bias or promotional offers. Sportsbooks set odds to balance their books and ensure profit, while this market represents what traders collectively believe will happen. Over time, prediction markets have demonstrated an ability to be more accurate than traditional forecasts, incorporating a wider range of information and perspectives. However, sportsbook odds can still provide a useful benchmark for comparison, especially as they adjust closer to game time.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a 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, the prices converge to reflect the collective prediction. Traders aim to profit by accurately forecasting the outcome and capitalizing on discrepancies between their beliefs and the market price. The current market price indicates the implied probability of a particular team winning the first quarter.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading after the first quarter of the UCLA vs California game will be declared the winner of this market. 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 for future events based on the accuracy of the market's prediction.

Several factors could influence this market before the game concludes. News regarding key player injuries or changes to the starting lineups for either UCLA or California would likely cause significant shifts in the odds. Unexpected weather conditions, if the game is played outdoors, could also play a role. Furthermore, any pre-game analysis or expert opinions that gain traction could impact trader sentiment and drive price movements. Even early game performance, such as a quick scoring drive by one team, could rapidly alter the probabilities reflected in this market.