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OPEN INTEREST:

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406,422

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2,688

PLATFORM COVERAGE:

5

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San Diego St. vs UCLA: 1st Quarter Winner
kalshi

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

Volume:
$7,300

Tie 1st Quarter

 - Kalshi

Tie 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 12, 2026

Closed: Sep 12, 7:48 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 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,463
N/A
N/A
$1,419
Settled
Yes
kalshi

San Diego St. wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$5,326
N/A
N/A
$3,638
Settled
No
kalshi

UCLA wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$511
N/A
N/A
$501
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between San Diego State and UCLA. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game. The outcome depends on whether UCLA, San Diego State, or neither team (in case of a tie) scores more points in that specific segment.

Kalshi

If UCLA wins the 1st 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 1st 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 1st 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 1st quarter market displays the current odds for each potential winner, along with a price history chart showing how those odds have fluctuated over time. You can also see the 24-hour trading volume, which currently stands at $5,091, and the total overall volume traded in this market, which is $7,300. This allows you 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 are placing their bets.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by supply and demand among traders who are incentivized to be accurate. If a significant number of traders believe a particular outcome is more likely than implied by sportsbook odds, the price in this market will adjust accordingly. This can sometimes lead to prediction markets being more accurate forecasters of event outcomes than traditional betting venues, though discrepancies can and do occur.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, which team will win the first quarter. 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 emerges, the prices will shift, providing a dynamic assessment of the likely winner. The goal is for the contract prices to accurately reflect the true probabilities, allowing traders to profit from correctly anticipating the outcome.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading after the first quarter of the San Diego St. vs UCLA 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 holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will forfeit their investment. This ensures a clear and objective determination of the market's outcome.

Several factors could influence the price movement of this market. Any news regarding player injuries or changes to the starting lineups for either San Diego St. or UCLA would likely have a significant impact. Game-day weather conditions, particularly if they favor one team’s playing style, could also shift trader sentiment. Additionally, any late-breaking analysis from sports analysts or changes in public perception regarding each team’s chances of winning could cause the market to react. Unexpected betting patterns or large volume trades on Kalshi could also signal a shift in expectations.