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Texas St. vs Texas: Highest Scoring Quarter
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Which quarter will have the highest score?

Volume:
$554

3rd Quarter

 - Kalshi

3rd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 5, 2026

Closed: Sep 5, 6:50 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

3rd Quarter

View
50%
Yes 50¢No 50¢
100¢
N/A
$214
N/A
N/A
$212
Settled
No
kalshi

2nd Quarter

50%
5%
Yes 50¢No 50¢
100¢
N/A
$125
N/A
N/A
$110
Settled
No
kalshi

1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$215
N/A
N/A
$215
Settled
No
kalshi

4th Quarter

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 4

Description

This event determines which quarter of the Texas State versus Texas college football game will feature the highest combined score from both teams. Each quarter has its own market, and the outcome depends on whether that specific quarter ends up being the highest-scoring one.

Kalshi

If the 1st quarter is the highest scoring quarter in the Texas St. vs Texas college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 2nd quarter is the highest scoring quarter in the Texas St. vs Texas college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 3rd quarter is the highest scoring quarter in the Texas St. vs Texas college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 4th quarter (not including overtime) is the highest scoring quarter in the Texas St. vs Texas college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Texas football scoring market tracks the current odds for each quarter being the highest scoring, the price history of those contracts, and the 24-hour trading volume. Currently, the total volume for this market is $554, with $500 traded in the last 24 hours. This allows participants to see how the market is valuing each potential outcome and how interest is changing over time. The dashboard provides a real-time view of market sentiment regarding which quarter will see the most points scored in the Texas versus Texas St. game.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house biases or initial public perception. Sportsbooks typically set lines to balance action, while this market allows traders to directly express their beliefs about the probability of each quarter being the highest scoring. Discrepancies can arise from differing information sources, analytical approaches, or simply variations in opinion. It’s common to see prediction markets move independently of sportsbook lines as new information becomes available and traders adjust their positions.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each quarter being the highest scoring. The price of a contract reflects the market’s implied probability of that outcome occurring. As more traders buy a contract, its price increases, indicating a higher perceived chance of that quarter being the highest scoring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts as traders react to news, analysis, and each other's trading activity, creating a constantly updated assessment of the game’s potential scoring dynamics.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which of the four quarters in the Texas versus Texas St. football game had the highest combined score. The official game statistics, as reported by a recognized sports data provider, will be used to verify the outcome. Trading will cease once the game concludes and the results are officially available, ensuring a transparent and verifiable resolution process.

Several factors could influence trading activity in this market. News regarding key player injuries for either team would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they suggest conditions favorable for high or low scoring, could also impact the market. Even late-breaking analysis from sports commentators or updated statistical projections could sway trader sentiment. Public betting trends, while not directly reflected in this market, may indirectly influence trader behavior as they consider broader market expectations.