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24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

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40,178

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MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

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37%

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Texas A&M vs Alabama: 4th Quarter Winner
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What is the result of Texas A&M vs Alabama?

Volume:
$3,801

Alabama

 - Kalshi

Alabama - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 7:17 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

Alabama

View
100%
Yes 100¢No 0¢
—
N/A
$1,532
N/A
N/A
$1,522
Settled
Yes
kalshi

Texas A&M

0%
Yes 0¢No 100¢
—
N/A
$1,450
N/A
N/A
$1,298
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$819
N/A
N/A
$818
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the final quarter of a college football game between Texas A&M and Alabama. It provides a way to bet specifically on the outcome of the last quarter of play, rather than the entire game. The resolution depends solely on 4th quarter performance, excluding any overtime periods.

Kalshi

If Alabama wins the 4th quarter (excluding overtime) of the Texas A&M vs Alabama college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Texas A&M wins the 4th quarter (excluding overtime) of the Texas A&M vs Alabama college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Texas A&M vs Alabama college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Alabama vs Texas A&M game tracks the current odds for each potential winner of the 4th quarter, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $3,801, and the total volume traded to date, which is $3,801. This provides a real-time view of where traders are placing their bets and how the perceived probability of each outcome is evolving as the game approaches.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust probabilities based on their own analysis and information. It's common to see discrepancies, especially as new information emerges or public sentiment shifts. While sportsbooks may incorporate expert opinions, this market is driven entirely by the collective predictions of participants, potentially leading to more accurate forecasts, particularly closer to the event.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. 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 dynamically, creating a real-time assessment of the likely winner of the 4th quarter. The higher the price, the more confidence traders have in that outcome.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the winner of the 4th quarter of the game between Alabama and Texas A&M will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports news source, ensuring a fair and accurate determination of the outcome for all participants in this market.

Several factors could significantly impact this market. Any news regarding injuries to key players on either team, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected performance in earlier parts of the game, or even pre-game analysis suggesting a tactical advantage for one side, could also lead to price movements. Public perception, influenced by media coverage and expert opinions, will also play a role in shaping the probabilities reflected in this market.