TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Texas St. vs San Diego St.: 3rd Quarter Winner
kalshi

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

Volume:
$15,192

San Diego St.

 - Kalshi

San Diego St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 1:10 AM 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

San Diego St.

View
100%
Yes 100¢No 0¢
—
N/A
$7,863
N/A
N/A
$6,575
Settled
Yes
kalshi

Texas St.

0%
Yes 0¢No 100¢
—
N/A
$5,804
N/A
N/A
$5,386
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,525
N/A
N/A
$1,369
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the third quarter of a college football game between Texas State and San Diego State. It provides a way to speculate on short-term in-game performance rather than the overall result. The outcome depends solely on the points scored during that specific quarter.

Kalshi

If San Diego St. wins the 3rd quarter of the Texas St. vs San Diego St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Texas St. wins the 3rd quarter of the Texas St. vs San Diego St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Texas St. vs San Diego St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Texas St. vs San Diego St. 3rd quarter market provides a real-time view of how traders are pricing the likelihood of each team winning the third quarter. You’ll find the current odds, a price history chart showing how those odds have changed over time, and the 24-hour trading volume, currently at $14,728. The total volume traded on this market is $15,192. This allows you to gauge market sentiment and track how predictions evolve as new information becomes available before the game.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those initially set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a team is more likely to win than sportsbooks indicate, the odds on Kalshi will shift accordingly. It's common to see prediction markets outperform traditional odds, especially as the event draws nearer and more information is incorporated.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their beliefs about the outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the price fluctuates, providing a dynamic assessment of the likely winner of the third quarter. The market efficiently incorporates new information and adjusts probabilities in real-time, offering a forward-looking perspective.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team has the higher score at the end of the third quarter of the Texas St. vs San Diego St. game. The official game results will be used to determine the winning outcome, ensuring a transparent and objective resolution process. Traders will then be able to claim their winnings or fulfill their obligations based on the final result.

Several factors could influence trading activity and shift the odds in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could impact trader sentiment. Unexpected performance in the first or second quarter of the game will likely cause significant movement, as traders adjust their predictions based on observed gameplay. Public perception and analysis from sports commentators could also play a role, influencing the collective belief about which team is favored to win the third quarter.