TOTAL VOLUME:

$134.1b

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$133,388,117

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2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

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MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

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San Diego St. vs UCLA: 2nd Quarter Winner
kalshi

What is the result of San Diego St. vs UCLA?

Volume:
$1,996

Tie 2nd Quarter

 - Kalshi

Tie 2nd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 8:51 PM EST

kalshi

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 2nd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,290
N/A
N/A
$1,278
Settled
Yes
kalshi

UCLA wins 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$367
N/A
N/A
$348
Settled
No
kalshi

San Diego St. wins 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$339
N/A
N/A
$333
Settled
No
Total markets: 3

Description

This market tracks which team will score more points in the second quarter of the San Diego State versus UCLA college football game scheduled for September 12, 2026. It covers scenarios where either team wins the quarter or the quarter ends in a tie based solely on points scored during that specific period.

Kalshi

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

Frequently asked questions

On Kalshi, the dashboard for the San Diego St vs UCLA 2nd quarter market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of each outcome fluctuates in real-time. Currently, the 24-hour volume is $1,996, and the total volume traded on this market is $1,996. This allows traders to gauge market sentiment and identify potential trading opportunities related to which team will win the second quarter of the game.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, but are subject to biases and limitations. This market, driven by real money at risk, can incorporate information that sportsbooks may overlook, such as subtle team news or public sentiment shifts. While sportsbooks may initially have different odds, they often adjust closer to prediction market prices as the event approaches, demonstrating the predictive power of this type of market.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s assessment of that outcome’s likelihood. As more traders buy contracts for a particular team, the price increases, and the implied probability rises. 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 trading activity, providing a real-time assessment of the potential winner of the second quarter. This allows for a fluid and responsive pricing mechanism.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will resolve based on which team has the higher score at the end of the second quarter of the San Diego St. vs UCLA game. The official game results, as reported by a trusted sports data source, will be used to determine the winning outcome. Traders will be able to see the final result and any associated payouts following the official conclusion of the second quarter.

Several factors could influence the price movement of this market. Any news regarding key player injuries or changes to the starting lineup for either San Diego St. or UCLA would likely have a significant impact. Unexpected weather conditions, if the game is played outdoors, could also shift the odds. Furthermore, public sentiment and betting patterns, as reflected in trading volume on Kalshi, can drive price fluctuations. Late-breaking news or analysis from sports commentators could also contribute to shifts in market expectations before the game concludes.