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402,751

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2,632

PLATFORM COVERAGE:

5

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San Diego vs St. Thomas: 1st Half Winner
kalshi

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

Volume:
$12,780

St. Thomas wins 1st Half

 - Kalshi

St. Thomas wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 3:43 PM EST

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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

St. Thomas wins 1st Half

View
100%
Yes 100¢No 0¢
100¢
N/A
$11,192
N/A
N/A
$11,018
Settled
Yes
kalshi

San Diego wins 1st Half

0%
Yes 0¢No 100¢
100¢
N/A
$886
N/A
N/A
$874
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
100¢
N/A
$703
N/A
N/A
$703
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between San Diego and St. Thomas, focusing solely on which team leads at halftime. It reflects the competitive balance and performance of both teams during the initial 30 minutes of play. The result depends entirely on the points scored in the first half, regardless of the final game outcome.

Kalshi

If St. Thomas wins the 1st half of the San Diego vs St. Thomas college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If San Diego wins the 1st half of the San Diego vs St. Thomas college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 1st half of the San Diego vs St. Thomas college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Diego vs St. Thomas game tracks the current odds for each team to win the first half, the total 24-hour trading volume of $12,780, and the overall volume traded to date of $12,780. You can also view a price history chart to see how the market has moved over time. This allows traders to analyze market sentiment and make informed decisions. The dashboard provides a real-time view of where traders are placing their bets on the first-half winner of this contest.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows anyone to trade and express their opinion, which can lead to odds that diverge from sportsbook lines as new information emerges or public sentiment shifts. It’s common to see prediction markets move faster to incorporate unexpected news or changes in perceived probabilities compared to traditional sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the probability of each outcome. The price of a contract reflects the market’s collective assessment of that outcome’s likelihood. As more traders participate, the prices adjust to find an equilibrium. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The closer the event gets, the more volatile the prices may become as new information becomes available and traders refine their predictions. This dynamic pricing mechanism allows for a real-time assessment of expectations.

This market resolves around Sep 26, 2026, with the outcome confirmed once the first-half winner of the San Diego vs St. Thomas game is verifiable from credible public reporting. The result will be determined by the official score at the conclusion of the first half of the game, as reported by official sources. The platform will then verify the outcome and settle all outstanding contracts accordingly. Traders should monitor official sources for the final result to understand the resolution of this market.

Several signals could influence this market before resolution. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift expectations and move the odds. Unexpected performance in other games impacting team morale or motivation could also play a role. Public sentiment, as reflected by media coverage and social media discussions, can also influence trading activity. Significant late-breaking news, such as a key player being unexpectedly benched, would likely cause a rapid adjustment in the market for the San Diego vs St. Thomas game.