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PLATFORM COVERAGE:

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

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

Volume:
$13,830

Texas St. wins 1st Half

 - Kalshi

Texas St. wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 12:08 AM 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

Texas St. wins 1st Half

View
100%
42%
Yes 100¢No 0¢
—
N/A
$6,361
N/A
N/A
$4,207
Settled
Yes
kalshi

San Diego St. wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$5,628
N/A
N/A
$5,515
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$1,840
N/A
N/A
$1,740
Settled
No
Total markets: 3

Description

In a college football match between Texas State and San Diego State, the first half's scoring will decide the market outcome. The result hinges on which team is leading after the initial 30 minutes, including the possibility of a tie.

Kalshi

The market resolves based on the outcome of the first half of the Texas St. vs San Diego St. college football game scheduled for Oct 3, 2026. If San Diego St., Texas St., or neither team (tie) wins the first half, the respective market resolves to Yes. Only points scored during the first half count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi is not affiliated with the governing league.

Frequently asked questions

On Kalshi, the dashboard for the Texas St. vs San Diego St. 1st half market displays the current odds for each possible outcome – Texas St. winning the first half, San Diego St. winning the first half, or a tie. It also provides a price history chart, showing how the odds have fluctuated over time, and the 24-hour trading volume, currently at $13,810. The total volume traded on this market is $13,830. This allows traders to gauge market sentiment and identify potential trading opportunities based on recent activity.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and often incorporate a profit margin, while this market is driven by traders directly expressing their beliefs about the outcome. If sportsbook odds heavily favor one team, but volume in this market is more evenly distributed, it could suggest disagreement between the two. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams' strengths and weaknesses.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing each outcome – Texas St. winning, San Diego St. winning, or a tie – and the prices of these contracts determine the implied probabilities. As more traders buy a contract, its price increases, indicating a higher perceived chance of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current top outcome, according to traders on Kalshi, is a tie in the 1st half, though the market is dynamic and can change rapidly with new information or trading activity.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Texas St. vs San Diego St. game will determine the winning contract. A tie in the first half will result in the tie contract being settled as a win. The resolution will be based on the official game results as reported by a trusted sports data source, ensuring a fair and accurate outcome for all traders involved in this market.

Several factors could influence trading activity and shift the odds in this market. Any news regarding injuries to key players on either the Texas St. or San Diego St. teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team's playing style, could also move the market. Additionally, late-breaking news about team strategies or coaching decisions could influence traders' perceptions and lead to adjustments in the prices of the contracts. Public sentiment, as reflected in social media or expert analysis, may also play a role.