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San Diego St. vs UCLA: First Team to Score a TD
kalshi

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

Volume:
$565

UCLA scores first TD

 - Kalshi

UCLA scores first TD - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 9:16 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

UCLA scores first TD

View
100%
Yes 100¢No 0¢
100¢
N/A
$377
N/A
N/A
$329
Settled
Yes
kalshi

San Diego St. scores first TD

0%
Yes 0¢No 100¢
100¢
N/A
$175
N/A
N/A
$117
Settled
No
kalshi

No team scores a TD

0%
Yes 0¢No 100¢
100¢
N/A
$13
N/A
N/A
$13
Settled
No
Total markets: 3

Description

Similarly, for the San Diego State versus UCLA game, participants can wager on which team scores the first touchdown. The result hinges entirely on the initial scoring play, with all types of touchdowns considered, and the market outcome is unaffected by later game events.

Kalshi

All markets resolve based on the team that scores the first touchdown in the San Diego St. vs UCLA college football game originally scheduled for Sep 12, 2026, regardless of scoring method. If the first touchdown occurs in overtime, the respective market resolves to Yes for that team. If neither team scores a touchdown in the full game, including overtime, the market titled No team scores a TD resolves to Yes. Postponements within 48 hours of the original start time keep markets open; delays beyond this window result in fair price resolution. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the San Diego St vs UCLA first TD market tracks the current odds for each team to score the first touchdown, along with a price history showing how those odds have changed over time. You can also see the total volume traded in this market, which currently stands at $565, and the 24-hour volume, at $552. This provides a real-time view of how traders are assessing the likelihood of each outcome and how much activity is occurring in the market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows traders to openly express their beliefs, potentially leading to more accurate probabilities. It's common to see discrepancies, especially as new information emerges or public sentiment shifts. Comparing the two can offer valuable insights into differing perspectives on the game's likely outcome.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team scoring the first touchdown. The price of a contract reflects the market’s collective belief about that outcome. 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 higher the price, the greater the perceived chance of that team scoring first, and vice versa.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on which team officially scores the first touchdown in the San Diego St. versus UCLA game, as determined by official game statistics. The platform will verify the result against established sports data sources to ensure an accurate and impartial outcome for all participants in this market.

Several factors could significantly impact this market. Late-breaking news regarding key player injuries for either San Diego St. or UCLA would undoubtedly shift the odds. Changes in weather forecasts, particularly if they favor a specific offensive style, could also influence trading activity. Furthermore, any significant news related to team strategy or coaching decisions could lead to adjustments in the perceived probabilities. Public sentiment, as reflected in sports news and social media, can also play a role in driving price movements.